Machine Learning

Digital Guardian, a globally renowned company in data loss prevention solutions, has announced it significantly enhanced its relationship with Amazon Web Services (AWS) through several key initiatives and achievements. Integration with Amazon Macie Digital Guardian has announced the general availability of their integration with Amazon Macie, a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and provide additional protection for customers’ sensitive data in Amazon Web Services. Amazon Macie is designed to automate the discovery of sensitive data at scale and lowers the cost of protecting data As organizations manage growing volumes of data, identifying and protecting their sensitive data, at scale, can become increasingly complex, expensive, and time-consuming. Amazon Macie is designed to automate the discovery of sensitive data at scale and lowers the cost of protecting data. Unified sensitive data discovery  Digital Guardian now leverages Amazon Macie to build an integration that extends enterprise data loss prevention from traditional endpoints to AWS. For shared Digital Guardian and Amazon Macie customers, this integration provides unified sensitive data discovery and visibility, and other compelling benefits, including: The ability to correlate Amazon Macie findings with Digital Guardian Endpoint events, providing visibility into the file lifecycle. Automated alarming and incident tracking of Amazon Macie incidents in Digital Guardian Analytics & Reporting Cloud (ARC) to support complex compliance mandates, such as ITAR and GDPR. On-demand reporting and remediation actions to add an additional layer of protection for sensitive data stored in Amazon Simple Storage Service (Amazon S3) buckets. “In 2020, we announced a series of major enhancements to Amazon Macie, including new features, greater availability worldwide and substantially reduced pricing,” said Dan Plastina, Vice President for External Security Services, Amazon Web Services, Inc. Enterprise data protection Providing a seamless integration with Amazon Macie was a top product priority at Digital Guardian" Dan adds, “We are pleased that Digital Guardian is now integrated with Amazon Macie, as this allows our shared customers to benefit from unified visibility of sensitive data stored in Amazon S3 buckets, on local network shares and on endpoint devices. This visibility can then inform policies to protect their data no matter where it resides.” “Providing a seamless integration with Amazon Macie was a top product priority at Digital Guardian,” said Mordecai Rosen, Chief Executive Officer (CEO) at Digital Guardian, adding “We believe federation is critical to enterprise data protection programs providing the ability to see and manage sensitive data no matter where it resides.” Support for Amazon WorkSpaces on Windows Mordecai adds, “Amazon Macie is an effective service for identifying and securing sensitive data in Amazon S3, and with Digital Guardian’s integration we can offer our shared customers unified data visibility and protection from a single pane of glass.” Amazon WorkSpaces is a managed, secure Desktop-as-a-Service (DaaS) solution. Customers can use Amazon WorkSpaces to provision Windows desktops in just a few minutes and quickly scale to provide thousands of desktops to workers around the globe. AWS Advanced Technology Partner status Digital Guardian customers are increasingly deploying DaaS to secure remote workers and with the release of version 7.6, Digital Guardian is now certified for Amazon WorkSpaces. In October, Digital Guardian achieved AWS Advanced Technology Partner status. As an AWS Advanced Technology Partner, customers can be assured Digital Guardian has met stringent requirements, including a thorough assessment of the Digital Guardian Data Protection Platform by AWS experts, to ensure conformity with the security and cloud configuration best practices that they demand.  Digital Guardian Data Protection Platform Customers can easily subscribe to the cloud-delivered Digital Guardian Data Protection Platform With availability in AWS Marketplace, customers can easily subscribe to the cloud-delivered Digital Guardian Data Protection Platform, powered by AWS, to gain instant visibility into their sensitive data as it traverses their enterprise and cloud environment. They can also benefit from a seamless purchase process offered in AWS Marketplace and reduce the overall burden on their procurement, legal, and accounting teams. Securing customers’ sensitive data “As the globally renowned company in cloud customer experience and contact center solutions, securing our customers’ sensitive data is absolutely paramount,” said Steven Wolford, Chief Information Security Officer at Genesys. Steven adds, “The Digital Guardian Data Protection Platform provides us with deep visibility and flexible controls, enhancing the protection of our data and IP. Additionally, the ability to purchase the platform from AWS Marketplace enabled us to avoid lengthy contract negotiations and streamline the procurement process.”

National systems integrator, IES Communications, LLC, a subsidiary of IES Holdings, Inc., has added the Alcatraz Rock autonomous access control solution to its security technology portfolio. IES Communications has selected the Alcatraz Rock to leverage the latest in biometrics – facial authentication – which is more secure and more hygienic, as it reduces touchpoints. “IES is always striving to bring safe new ways to utilize cutting-edge security solutions to its customers. With the implementation of Alcatraz Biometrics products, IES continues to design solutions for your environment that will secure your peace of mind,” said IES Vice President of Sales and Marketing Gilbert Romo. Delivering autonomous access control Headquartered in Tempe, Arizona, with 21 locations throughout the United States, IES Communications is a leading national technology infrastructure architect that delivers a comprehensive approach with a strong emphasis on client relationships and continuous innovation. “Alcatraz is excited to partner with IES Communications to deliver autonomous access control. IES has a great reputation for delivering comprehensive and reliable security solutions, and we know that the Rock will be an important addition to their portfolio,” said Alcatraz Chief Revenue Officer, Tina D’Agostin. Touchless and physical access control solution Alcatraz offers a touchless and secure physical access control solution that works with any access control system. The Rock replaces or augments badging as a credential with facial recognition, 3D sensing, and artificial intelligence - to enable highly secure and frictionless entry into physical locations. The Rock uses machine learning for increased security and accurate tailgating detection while intelligently enrolling employees as they are badging in, eliminating the headaches associated with traditional onboarding. A mask detection feature – the Mask Enforcer – provides a mask detection mode to help businesses comply with government-mandated facemasks.

ONVIF, the renowned global standardization initiative for IP-based physical security products, is pleased to announce the appointment of Leonid (Leo) Levit as the new Chairman of the ONVIF Steering Committee. Leonid Levit serves as Director of System Integration at Axis Communications and brings to the Chairman’s role a strong technical background and more than a decade of product management, marketing, and sales experience. Levit takes over from Per Björkdahl, who is stepping down from the role of Chairman after nine years. Video surveillance and access control products major “For the past decade, ONVIF has worked to facilitate nearly universal interoperability of IP physical security devices and clients, enabling end users and systems integrators to have freedom of choice in their selection of video surveillance and access control products,” said Leonid Levit. I look forward to being part of the next evolution of ONVIF, as it continues to support our evolving industry" He adds, “I look forward to being part of the next evolution of ONVIF, as it continues to support our evolving industry and the deepening relationships between analytics, IoT, AI and other technologies.” Prior to his role as Director of System Integration, Leonid Levit was Global Product Manager of Analytics Solution at Axis Communications. His past work experience includes roles at Sony Mobile Communications and Ericsson Mobile Platforms. Interoperability of IP physical security products Founded in 2008, ONVIF is a renowned and well-recognized industry forum, driving interoperability for IP-based physical security products. The organization has a global member base of established cameras, video management systems, and access control companies, and more than 19,000 profile conformant products. ONVIF offers Profile S for streaming video, Profile G for recording and storage, Profile C for physical access control, Profile Q for improved out-of-the-box functionality, Profile A for broader access control configuration, and Profile T for advanced streaming. ONVIF continues to work with its members to expand the number of IP interoperable solutions that ONVIF-conformant products can provide.

The Security Industry Association (SIA) has named Tony (Anthony) Diodato as the recipient of the 2021 SIA Standards Service Award, an honor presented to an individual demonstrating continued excellence and tireless service in volunteer efforts, related to the leadership, development, education and advocacy of SIA’s standards programs and services. 2021 SIA Standards Service Award  Security Industry Association will present Diodato with the award at The Advance, SIA’s annual membership meeting, which will be hosted on March 23, 2021 as a virtual event. Tony Diodato is the Founder and Chief Technology Officer (CTO) at Cypress Integration Solutions. Before starting Cypress Integration Solutions in 1983, he became acquainted with SIA, 40 years ago, at his first trade show in New York City, where he met prolific industry veteran and SIA volunteer, Sandra Jones. Active in SIA OSDP access control standard development Diodato has been active in efforts to develop SIA Open Supervised Device Protocol (OSDP) Diodato has been active in efforts to develop SIA Open Supervised Device Protocol (OSDP), a SIA access control communications standard designed to improve interoperability among access control and security products, since 2012. He has been co-chair of the SIA OSDP Working Group, since 2018. “It’s been an amazing journey over the past 40 years in the industry. I’ve had the honor of working with some great colleagues and mentors in the OSDP Working Group,” said Tony Diodato, adding “I’m really looking forward to continue serving and to seeing OSDP gain worldwide acceptance.” Instrumental in development of SIA OSDP version 2.2 Tony Diodato was instrumental in the development of SIA OSDP version 2.2, which was released in December 2020 and improves interoperability, security and support for smart card applications. He also played a critical role in getting SIA OSDP approved as an international standard, by the International Electrotechnical Commission in June 2020. He has spoken at many industry conferences and events on the importance of security industry adoption of SIA OSDP and has introduced the SIA OSDP Working Group to a new generation of industry talent through involving his development team in a variety of working group projects. Educator for SIA OSDP standard Tony Diodato has been a tireless evangelist and educator for the SIA Open Supervised Device Protocol standard" “Tony Diodato has been a tireless evangelist and educator for the SIA Open Supervised Device Protocol standard, and because of his efforts, SIA OSDP is not just an access control protocol – he has specified it for uses in aerospace and robotics and really amplified the reach of SIA’s activities,” said Joseph (Joe) Gittens, Security Industry Association’s Director of Standards. Joe adds, “SIA applauds Tony for his exceptional contributions to SIA, the industry and the SIA Open Supervised Device Protocol standard and is proud to honor him with the 2021 SIA Standards Service Award.” The Advance 2021 virtual event The Advance 2021 will take place on Tuesday, March 23, at 1:30 p.m. EDT and be hosted as a virtual event. At this special membership meeting, attendees will review official association business, recognize volunteer achievements in 2020 and exchange market intelligence for the year ahead. In addition to presenting the SIA Standards Service Award, the Security Industry Association will honor the 2021 recipients of the SIA Chairman’s Award, Committee Chair of the Year Award, Sandy Jones Volunteer of the Year Award and Member of the Year Award.

Understanding access control technology has surpassed its core application as a security tool and is helping protect individuals from infection, Anviz has announced the release of a strategic addition to its product line, Go Touchless - FaceDeep 5 and FaceDeep 5 IRT face recognition terminals. Safely Returning to work and school during the post COVID-19 pandemic period leaves people with a key question - With what health and safety precautions? AI-based facial recognition terminal Anviz has introduced an AI-based face recognition terminal with mask and temperature alerts Anviz has introduced an AI-based face recognition terminal with mask and temperature alerts, equipped with a dual-core based Linux CPU and the latest BioNANO deep learning algorithm that enables it to recognize a face with accuracy and greater speed. According to Mr. Felix Fu, Product Manager at Anviz Global, the dual camera for live face detection and mask, temperature alert are the key features of the Anviz touchless series that will make students and employees follow rules to wear masks during this period. Integrated with CrossChex access control software Furthermore, combined with the latest time attendance and access control management software - CrossChex, Anviz offers the total solutions to enforce rules that require masks and normal body temperature to access entry. With easy installation and multiple authentication options, the AI-based facial recognition device can be used at public buildings, government facilities, educational institutions, hospitals, professional service firms, and retails. FaceDeep Series access control terminals As global demand for hygiene safety and enhanced protection is increasing, Anviz FaceDeep Series access control terminals will provide the best solution to reduce the worries of people returning to office and school, during the post COVID-19 pandemic age.

Driven by the development of AI (Artificial Intelligence) and IoT (Internet of Things) technology, Network Video Recorder/NVR is no longer just the traditional data storage center in CCTV systems today. From initial connection demands of third-party IPC and PTZ suppliers, and docking demands of alarm sensor and platform manufactures, to alliance demands of algorithm and app developers, NVR (Network Video Recorder) is playing an increasingly significant role in connecting front-end devices, alarm sensors and other equipment. Open integration of NVR As a globally renowned video-centric smart IoT solutions and service provider, Dahua Technology has been actively cooperating with third-party software and hardware partners around the world through open integration of NVR, aiming to build an open and smart NVR ecosystem. The NVR Ecosystem also brings technology partners together to explore more possibilities While jointly creating value for customers and users, the NVR Ecosystem also brings technology partners together to explore more possibilities. Making NVR available to third-party devices and platforms enables third-party cameras and software/hardware manufacturers to connect to NVR through ONVIF and CGI/SDK, respectively. Furthermore, it also allows users to customize GUI style, run their own algorithms and develop apps on NVR, as per their needs and budgets. NVR DHOP Fully considering the system development demands of customers, Dahua Technology released NVR DHOP to allow third-party applications to be downloaded and installed on Dahua NVR hardware. Equipped with strong and powerful AI functions, Dahua Technology’s NVR DHOP boasts advantages such as flexible operation, safety guarantee, reliable quality, and strong support, which brings business growth opportunities to algorithm and app developers, who lack hardware devices and those with customization requirements for NVR GUI. Encrypted data storage and transmission In order to protect the interests of customers, all embedded third-party applications will pass legal verification and the data in storage or transmission will be encrypted. In addition, Dahua Technology’s professional R&D team provides continuous support in the whole process. Combining video with traditional alarm enables linkage between alarm signals and video footages Furthermore, the expanded application of the security field has also prompted the cooperation between NVR and traditional alarm manufacturers. Combining video with traditional alarm enables linkage between alarm signals and video footages, which can help warn-off intruders when an alarm is triggered. At the same time, it also allows users to search for relevant alarm videos stored in the NVR, achieving visual and intelligent alarm. Integration with third-party VMS suppliers By far, Dahua NVR (Network Video Recorder) has already completed integration with a number of third-party VMS suppliers, such as Milestone, AxxonSoft, Digifort, etc. Aside from general video storage and query functions, NVR can also assist third-party platforms in improving business operations and management with smart video analysis. Dahua NVR has been successfully integrated with the Milestone platform, providing temperature monitoring statistics reports during the COVID-19 pandemic and realizing efficient management of people with abnormal temperature. Enabling a safer society Adhering to the concept of openness, Dahua Technology will continue to embrace the diversity and inclusiveness of the AIoT (AI-IoT combined) era and build an ecosystem that provides customers with all-win success through open and interconnected cooperation, enabling a safer society and smarter living.

While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware. CCTV surveillance cameras  Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention? It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents. Live Facial Recognition (LFR) We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition Across recent weeks, we have seen pleas from UK organizations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift. We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society. Facial recognition technology - A force for good Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives. One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centers or police stations of their identity, condition and where they need to go (a home address or a next of kin contact). Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations. Tracking and finding missing persons Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognize individuals even if up to 50% of their face is covered and from challenging or oblique angles. Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analyzing CCTV footage. Rapid scanning of images Facial recognition technology can rapidly scan images for a potential match Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold. It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable.   Debunking the myths One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal. The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognize. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed. Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted. Privacy Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative. As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the center of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly. Biometrics, mask detection and contactless payments Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police. There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.  

Like most industries, the fields of security, access, and safety have been transformed by technology, with AI-driven automation presenting a clear opportunity for players seeking growth and leadership when it comes to innovation. In this respect, these markets know exactly what they want. They require solutions that accurately (without false or negative positives) classify and track people and/or vehicles as well as the precise location and interactions between those objects. They want to have access to accurate data generated by best-of-class solutions irrespective of the sensor modality. And, they need to be able to easily deploy such solutions, at the lowest capex and opex, with the knowledge that they can be integrated with preferred VMSs and PSIMs, be highly reliable, have low install and maintenance overheads and be well supported. With these needs in mind, camera and computer vision technology providers, solutions providers, and systems integrators are forging ahead and have created exemplary ecosystems with established partnerships helping to accelerate adoption. At the heart of this are AI and applications of Convolutional neural networks (CNN), an architecture often used in computer vision deep learning algorithms, which are accomplishing tasks that were extremely difficult with traditional software. But what about 3D sensing technologies and perception? The security, safety, and access market have an additional crucial need: they must mitigate risk and make investments that deliver for the long-term. This means that if a systems integrator invests in a 3D sensing data perception platform today, it will support their choice of sensors, perception strategies, applications, and use cases over time without having to constantly reinvest in alternative computer hardware and perception software each time they adopt new technology or systems. This begs the question - if the security industry knows what it needs, why is it yet to fully embrace 3D sensing modalities? Perception strategy Intelligent perception strategies are yet to evolve which sees designers lock everything down at the design phaseWell, one problem facing security, safety, and access solutions providers, systems integrators, and end-users when deploying first-generation 3D sensing-based solutions is the current approach. Today, intelligent perception strategies have yet to evolve beyond the status quo which sees designers lock everything down at the design phase, including the choice of the sensor(s), off-the-shelf computer hardware, and any vendor-specific or 3rd party perception software algorithms and deep learning or artificial intelligence. This approach not only builds in constraints for future use-cases and developments, it hampers the level of perception developed by the machine. Indeed, the data used to develop or train the perception algorithms for security, access, and safety use cases at design time is typically captured for a narrow and specific set of scenarios or contexts and are subsequently developed or trained in the lab. Technology gaps As those in this industry know too well, siloed solutions and technology gaps typically block the creation of productive ecosystems and partnerships while lack of commercial whole products can delay market adoption of new innovation. Perception systems architectures today do not support the real-time adaptation of software and computing engines in the field. They remain the same as those selected during the design phase and are fixed for the entire development and the deployment stage. Crucially, this means that the system cannot deal with the unknowns of contextually varying real-time situations where contexts are changing (e.g being able to reflex to security situations they haven’t been trained for) and where the autonomous system’s perception strategies need to dynamically adjust accordingly. Ultimately, traditional strategies have non-scalable and non-adaptable competing computing architectures that were not designed to process the next generation of algorithms, deep learning, and artificial intelligence required for 3D sensor mixed workloads. What this means for industries seeking to develop or deploy perception systems, like security, access, and safety, is that the available computing architectures are generic and designed for either graphic rendering or data processing. Solutions providers, therefore, have little choice but to promote these architectures heavily into the market. Consequently, the resulting computing techniques are defined by the computing providers and not by the software developers working on behalf of the customer deploying the security solution. Context…. we don’t know what we don’t know Perception platform must have the ability to adjust to changes in context, thereby improving the performance post-deployment To be useful and useable in the security context and others, a perception platform must have the ability to adjust to changes in context, can self-optimize, and crucially, can self-learn, thereby improving the performance post-deployment. The combinations of potential contextual changes in a real-life environment, such as an airport or military base, are innumerable, non-deterministic, real-time, often analog, and unpredictable. The moment sensors, edge computing hardware, and perception software are deployed in the field, myriad variables such as weather, terrain as well as sensor mounting location and orientation all represent a context shift where the perception systems’ solution is no longer optimal. For example, it might be that a particular sensor system is deployed in an outdoor scenario with heavy foliage. Because the algorithm development or training was completed in the lab, the moving foliage, bushes, or low trees and branches are classified as humans or some other false-positive result. Typically, heavy software customization and onsite support then ensue, requiring on-site support by solutions vendors where each and every sensor configuration needs to be hand-cranked to deliver something that is acceptable to the end customer. A new approach for effective perception strategies Cron AI is building senseEDGE, which represents a significant evolution in the development of sensing to information strategy.  It is a 3D sensing perception and computer vision platform built from the ground up to address and remove the traditional deployment and performance bottlenecks we’ve just described. senseEDGE is aware of the user application reaction plan indication to trigger an alarm or turning on a CCTV camera The entire edge platform is built around a real-time scalable and adaptable computing architecture that’s flexible enough for algorithms and software to scale and adapt to different workloads and contexts. What’s more, it has real-time contextual awareness, which means that the entire edge platform is, at any time, aware of the external context, the sensor and sensor architecture, and the requirements of the user application. Furthermore, when it produces the object output data, it also aware of the user application reaction plan indication, which could be triggering an alarm or turning on a CCTV camera when a specific action is detected. This approach turns traditional perception strategies on their head: it is software-defined programmable perception and computing architecture, not hardware-defined. It is free from the constraints imposed by traditional CPU or GPU compute dictated by hardware architecture providers and not limited to the perception built defined during design time. And, being fully configurable, it can be moved from one solution to another, providing computation for different modalities of sensors designed for different use cases or environments, and lower risk of adoption and migration for those developing the security solution.  Future perception requirements senseEDGE is also able to scale to future perception requirements, such as algorithms and workloads produced by future sensors as well as computational techniques and neural networks that have yet to be invented. Meanwhile, latency versus throughput is totally software-defined and not limited by providers of computing architecture. Finally, contextually aware, it is fully connected to the real world where the reflexes adapt to even the subtlest changes in context, which makes all the difference in time and accuracy in critical security situations. This is how CronAI sees the future of perception. It means that security and safety innovators can now access and invest with low risk in a useable and scalable perception solution that can truly take advantage of current and future 3D sensor modalities.

The explosion of artificial intelligence used to enhance business processes, propel innovative products, and further automation has touched essentially every industry to date. The security sector, notable for its maturity and complexity, is not exempt from the AI tidal wave. In fact, quite the opposite, the security sector and more specifically the domain of video surveillance have seen an emergence of AI-powered solutions both hardware and software. The widespread adoption of IP cameras, cloud computing capacities, and smart sensors have paved the way for new AI products and solutions to function at scale. AI-powered video analytics  One application of artificial intelligence for the video surveillance sector is the use of video analytic solutions to analyze video streams in order to extract pre-determined objects, behaviors, or situations. To give some examples, AI video analytics can be used to monitor perimeter crossing for border control, detect fevers or masks in airports or public spaces, arms detection in casinos, or be used to filter out alarms triggered by benign movements versus real intrusions. This application of artificial intelligence leans on its specific branch, machine learning, which uses a complex series of AI models to analyze the content of the video flow, autonomously identifying and classifying the videos according to predefined rules. Adopting technology AI video analytics yields promising benefits, a reduction in operational costs, and an increase in safety, and a decrease in risk When AI video analytics are used effectively, they yield very promising benefits. A jump in video flow analysis from an average of 10% by humans to 100%, a reduction in operational costs, and an increase in safety, and a decrease in risk. The use of AI video analytics for surveillance sounds simple enough, however, there are several perceived factors inhibiting security organizations from adopting the technology. Adopting AI into your video surveillance operation The security industry is capital intensive, complex in its IT structure, and diverse in situational business needs. Therefore, resulting in a perception of high effort, time, and costs required to successfully integrate AI into your video surveillance operation. However, these effort constraints can be debunked due to the flexibility of video analytic solutions. Three areas that deter security organizations from adopting AI Existing capital A surveillance operation contains a network of cameras that film with a range of video qualities. AI video analytics can analyze a range of videos from low to high resolution in thermal, infrared, and visible formats AI video analytics often operate on smart cameras that have the appropriate video image quality for the capacity of content analysis. The costs involved in overhauling legacy camera systems, converting videos into higher quality, or waiting until the current camera network is ready to be replaced in order to integrate AI is expensive, time-consuming, and often unfeasible. However, not all AI video analytic solutions need to be deployed on edge with smart cameras. Instead, video analytics can be deployed both directly on to the camera or have server-based integration maintaining and scaling to your existing camera network. AI video analytics can also analyze a range of videos from low to high resolution in a variety of formats: thermal, infrared, visible. Complex IT structure A single central command center or in-house security network operates in a multi-manufacturer environment. This means cameras, video management systems, and technology partners can be provided by several manufacturers therefore increasing the complexity of successful IT workflows and integrations. Theft or perimeter infringement can take place in a matter of minutes, therefore the transfer of information between solutions is required to function at top speed. To overcome this complexity, the successful integration of solutions in a multi-manufacturer environment is assured through industry enforced standards set by non-profit organizations. This allows for third-party solutions such as AI video analytics to be easily integrated into the bulk of software and hardware technologies. Diversity in security needs To obtain high performance in a diverse security setting is inherently built into AI video analytic machine  The objective of a surveillance operation can vary greatly from one organization to another. Retailers prioritize theft detection, while city governments may be concerned about arms detection or people counting. The capacity for AI to function with high performance, meanwhile adapting to several organization’s security needs requires algorithms to be trained accordingly. To obtain high performance in a diverse security setting is inherently built into how AI video analytic machine learning model’s function. AI can be trained to adapt to different environments and uses progressive learning to increase performance overtime. A collaborative effort between security experts, data scientists, and business strategists will ensure high performance and an appropriate application of AI to fit each organization’s specific needs. Surveillance innovation moving forward While for some video surveillance organizations, the costs and time associated with successfully integrating AI into their network may seem daunting, there are ways to adapt new technology into an existing operation with minimal effort. The emerging presence of smart cameras and IoT products will only accelerate the adoption of AI moving forward. If your organization is looking to enhance its operation with emerging technologies, now can be the time.

Convergint Technologies’ rapid growth has come through a combination of organic growth and acquisitions — they have acquired 35 companies since 2014. Growth has been a focus since day one when the founders started the systems integration company with 10 colleagues in a basement. Today, the diverse company includes more than 5,000 employees globally. As technology has advanced and business practices have evolved, Convergint’s core values and beliefs have guided their path forward.  Customer-centric approach Convergint’s culture is a critical aspect of the company, from the executive level to frontline colleagues. “It is essential that the companies we look to acquire and develop partnerships with directly align with our people-first, customer-centric, inclusive culture centered on colleagues and customers,” says Mike Mathes, Executive Vice President, Convergint Technologies. “This approach has allowed us to maintain and grow our number of colleagues across our acquisitions and enables us to continue being our customers’ best service provider.” Integration practices Many practices have to be form-fitted to each individual acquisition A simple but important consideration as Convergint grows through acquisitions is: No two companies are the same. While some integration practices can be standardized across the company, many practices have to be form-fitted to each individual acquisition, says Mathes. “Our objective is not to come in and immediately implement change. We want to build on what has already been successful within the local market and share our learned experiences. There is plenty we can learn from each other and create a much better organization.” Mathes says that Convergint’s view of a successful acquisition is that 1+1=3. “The end result is always much more impactful than what we anticipated,” he says. “Every acquisition brings with it an experienced leadership team, dedicated and skilled colleagues, vertical market and technological expertise. Most acquisitions are in geographies where we do not already operate, so with every acquisition, we increase our capability to serve our customers much better.” Also, the network of Global Convergint Technology Centers (CTCs) helps expand clientele, and the Convergint Development Center (CDC) offers new support capabilities allowing acquisitions to grow at a very high rate. Expanding service Are there more acquisitions to come? Mathes says Convergint is always open to further expanding its footprint across the globe, improving its ability to service customers, deepening their technical expertise, and continuing to expand service offerings across the current and new vertical markets. However, the current focus remains on several key factors: service to colleagues, customers, and communities. “While obviously, acquisitions fuel our growth, the addition of these organizations to Convergint has really improved our ability to service clients on a global basis,” says Mathes. Acquiring ICD Security Solutions in Asia, for example, made Convergint a pioneer in that market for U.S.-based multi-national companies. Meeting customers demand “Convergint does not weigh market conditions when making an acquisition decision,” says Mathes. Rather, they are primarily focused on meeting or exceeding their customer’s needs on a local to a global level. They see acquisitions as a potential way to extend their geographic reach so they can be closer to customers. An acquisition might also expand technological or vertical market expertise. “The end goal is for us to enhance our service capabilities by attracting and retaining talented colleagues and leaders to better service our customers,” says Mathes. Enhancing and expanding services Convergint identifies how to leverage the expertise to further enhance and expand current service options“Economies of scale” have not been a consideration. They have never sought to acquire companies and restructure them in the process, for example. Rather, each company brings forth a unique skillset, is carefully vetted by the executive team and provides purpose in the company's mission and vision for the future.” “Frontline colleagues are Convergint’s most valuable assets,” says Mathes. Rather than restructuring and eliminating skilled, knowledgeable colleagues, Convergint identifies how they can leverage the expertise to further enhance and expand current service options for customers. “Our colleagues and their skill sets are our competitive advantage—they remain an essential element to our success,” says Mathes. Demand for integrator services “We continue to experience a growing demand for innovative solutions across electronic security, fire alarm, and life safety,” says Mathes. “As companies innovate further and rely on technologies such as artificial intelligence, cybersecurity, IoT, and cloud solutions, we expect to see an increased demand for integrator services. Our customers demand a local service provider who is responsive and can meet their needs, which is why Convergint aims to be its customers’ best service provider.” This year, Convergint is celebrating its 20th anniversary. In 2021, they will continue to focus on the same critical components that have dominated since day one taking care of colleagues, customers, and the communities where they operate.

Artificial intelligence (AI) is more than a buzzword. AI is increasingly becoming part of our everyday lives, and a vital tool in the physical security industry. In 2020, AI received more attention than ever, and expanded the ways it can contribute value to physical security systems. This article will revisit some of those development at year-end, including links back to the originally published content. In the security market today, AI is expanding the use cases, making technologies more powerful and saving money on manpower costs - and today represents just the beginning of what AI can do for the industry. What it will never do, however, is completely take the place of humans in operating security systems. There is a limit to how much we are willing to turn over to machines - even the smartest ones. Beyond video analytics "Apply AI to security and now you have an incredibly powerful tool that allows you to operate proactively rather than reactively," said Jody Ross of AMAG Technology, one of our Expert Roundtable Panelists. AI made its initial splash in the physical security market by transforming the effectiveness of video analytics AI made its initial splash in the physical security market by transforming the effectiveness of video analytics. However, now there are many other applications, too, as addressed by our Expert Panel Roundtable in another article. Artificial intelligence (AI) and machine learning provide useful tools to make sense of massive amounts of Internet of Things (IoT) data. By helping to automate low-level decision-making, the technologies can make security operators more efficient. Biometrics with access control Intelligent capabilities can expand integration options such as increasing the use of biometrics with access control. AI can also help to monitor mechanics and processes. Intelligent systems can help end users understand building occupancy and traffic patterns and even to help enforce physical distancing. These are just a few of the possible uses of the technologies - in the end, the sky is the limit. AI is undoubtedly one of the bigger disrupters in the physical security industry, and adoption is growing at a rapid rate. And it’s not just about video analytics. Rather, it is data AI, which is completely untapped by the security industry. Bottom line: AI can change up your security game by automatically deciphering information to predict the future using a wide range of sources and data that have been collected, whether past, present, and future. That’s right. You can look into the future. Smarter perimeter protection Now, Intrusion Detection (Perimeter Protection) systems with cutting-edge, built-in AI algorithms to recognize a plethora of different object types, can distinguish objects of interest, thus significantly decreasing the false-positive intrusion rate. The more advanced AI-based systems enable the users to draw ROIs based on break-in points, areas of high-valuables, and any other preference to where alerts may be beneficial. AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store Similarly, AI Loitering Detection can be used to receive alerts on suspicious activity outside any given store. The loitering time and region of interest are customizable in particular systems, which allows for a range of detection options. Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Meeting urban needs Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. Newer edge computing will play an important role in capturing, collecting, and analyzing data. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyze it and deduce a lot of valuable information in real-time, instead of post-event. In smart cities applications, the challenge of identifying both physical and invisible threats to meet urban citizens’ needs will demand a security response that is proactive, adaptable and dynamic. Optimize security solutions As we look ahead to the future of public safety, it’s clear that new technologies, driven by artificial intelligence (AI), can dramatically improve the effectiveness of today’s physical security space. For smart cities, the use of innovative AI and machine learning technologies have already started to help optimize security solutions. In sports stadium applications, AI’s role in getting fans and spectators back after the COVID pandemic is huge, through capabilities such as social distance monitoring, crowd scanning/metrics, facial recognition, fever detection, track and trace and providing behavioral analytics. Technologies such as AI-powered collaboration platforms now work alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras. AI surveillance software In many ways, it’s the equivalent of a neighborhood watch program made far more intelligent through the use of AI This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. AI surveillance software, when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. One of the biggest advantages of using AI technology is that it’s possible to integrate this intelligent software into building smarter, safer communities and cities. Essentially, this means developing a layered system that connects multiple sensors for the detection of visible and invisible threats. Integrated systems mean that threats can be detected and tracked, with onsite and law enforcement notified faster, and possibly before an assault begins to take place. In many ways, it’s the equivalent of a neighborhood watch program made far more intelligent through the use of AI. Fighting illicit trade Using technology in this way means that thousands of people can be screened seamlessly and quickly, without invading their civil liberties or privacy. AI’s ability to detect visible or invisible threats or behavioral anomalies will prove enormously valuable to many sectors across our global economy. Revolutionary AI-driven technologies can help to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future. AI can support the ongoing fight against illicit trade on a global scale in a tangible way. For financial transactions at risk of fraud and money laundering, for example, tracking has become an increasing headache if done manually. As a solution to this labor-intensive process, AI technology can be trained to follow all the compliance rules and process a large number of documents - often billions of pages of documents - in a short period of time.

The coronavirus pandemic had a monumental impact on all aspects of the business world, including the security industry. However, amid the gloom and doom, many security professionals also saw opportunity: New ways the industry’s products could be applied to address the challenges of coping with the virus. This article will review some of those opportunities, based on our reporting throughout the year and including links back to the original articles. During and after the pandemic, security systems are an important asset when it comes to helping to keep occupants and buildings safe as employees return to work. For example, video analytics can provide insight into how spaces have previously been used and can help to predict where and when occupants encounter each other or congregate. Role of thermal cameras These foot-traffic patterns can inform settings for a variety of devices - like ventilation and temperature controls - and even help owners create social distancing plans and monitor personal protective equipment (PPE) compliance. Thermal surveillance, a mainstay of traditional physical security and outdoor perimeter detection, began being deployed early in the pandemic to quickly scan employees, contractors and visitors as part of a first line of defense to detect COVID-19 symptoms. These systems provide flexibility and can offer integrations with multiple VMS platforms and access control devices These systems provide flexibility and can offer integrations with multiple VMS platforms and access control devices. Thermal cameras can be a tool for detecting fever, but any use of the technology for this purpose is full of qualifications and caveats. Importantly, how the camera system is configured makes all the difference in whether temperature readings are accurate, and the downside of inaccurate readings is obvious - and potentially deadly. Temperature detection systems FDA guidelines limit how the cameras are used, not to mention guidance from other regulatory/government bodies such as the CDC. One of our Expert Roundtable panelists compares the market to a “wild west scenario,” and almost all the panelists are clear about how customers should approach the market: Buyer beware. There are many companies jumping into selling temperature detection systems to the state, local governments, hospitals, airports and local businesses, but do they know how to drive one? Anyone can get behind a car and drive it into a wall by accident. The same can happen with a temperature detection system. Customers need to know what questions to ask to ensure they maximize the accuracy of body temperature detection systems. Rise of contactless Spread of the novel coronavirus has jolted awareness of hygiene as it relates to touching surfaces such as keypads. No longer in favor are contact-based modalities including use of personal identification numbers (PINs) and keypads, and the shift has been sudden and long-term. Both customers and manufacturers were taken by surprise by this aspect of the virus’s impact and are therefore scrambling for solutions. Immediate impact of the change includes suspension of time and attendance systems that are touch-based Immediate impact of the change includes suspension of time and attendance systems that are touch-based. Some two-factor authentication systems are being downgraded to RFID-only, abandoning the keypad and/or biometric components that contributed to higher security, but are now unacceptable because they involve touching. "Users do not want to touch anything anymore,” says Alex Zarrabi, President of Touchless Biometrics Systems (TBS). Facial recognition system Another contactless system that benefits from concerns about spread of COVID-19 is facial recognition. New advancement in software, specifically in the areas of algorithms, neural networks and deep learning and/or artificial intelligence (AI), have all dramatically improved both the performance and accuracy of facial recognition systems, further expanding its use for an increasing number of applications. A low-tech solution - the face mask - became a leading preventative measure during the pandemic. But, a high-tech solution is necessary to ensure that everyone is wearing them. Cameras powered by artificial intelligence can now identify whether or not people entering a facility are wearing facemasks and help enforce adherence to mask mandates. This technology is proving to be a cost-effective solution that reduces risks of confrontations over masks policies and gives managers the data they need to document regulatory compliance and reduce liability. Smart video analytics Other technology approaches, including artificial intelligence (AI), were also brought to bear during the pandemic. The German data analytics powerhouse G2K, for example, has developed a Corona Detection and Containment System (CDCS) that is ready for immediate use in record time. Detection takes place in combination with AI-supported data analysis to specifically identify virus hotspots and distribution routes, as well as to identify other potentially infected persons. One specific AI application fuels the reopening of the world and successfully keeps the spread of the virus abated One specific AI application fuels the reopening of the world and successfully keeps the spread of the virus abated. A “collaborative security” application includes a synthesis of smart video analytics, facial recognition, object identification/detection, and thermal cameras that can support the reopening of businesses globally when installed within those facilities frequented by customers. Enforcing social distancing Several applications have been successful to date and will increase in usability in the foreseeable future, creating “smart cities” working together towards a safer, more secure world. The site of one pilot program is the 250,000-square-foot HID Global facility in Austin. For the pilot program, 80 HID Location Services readers were installed in a wide area in the facility, including a variety of environments. Initially 30 badges and 30 fobs, all BLE-enabled, were issued to employees. If a badge identifies another nearby beacon (suggesting a social distancing failure), it emits a blinking LED light, which can be seen by the offending co-worker. To ensure social distancing, a Bluetooth Low Energy (BLE) beacon is emitted from an employee’s fob (or from a badge that has the same functionality). The beacon communicates peer-to-peer with a beacon emitted by another employee’s fob or badge to alert if the location of the two employees is less than six feet apart. For contact tracing, the beacons communicate via a nearby “reader” (a BluFi BLE-to-Wi-Fi gateway) to the Bluzone cloud-based software-as-a-service. COVID-19 White Papers In addition, we published several White Papers in 2020 that addressed various aspects of the coronavirus pandemic. They included: The top five security lessons learned that apply across all industries navigating COVID-19. Using video analytics to keep staff, visitors and customers safe by enforcing social distancing. How antimicrobial treatment on door handles and levers can reduce disease spread. How companies can put in extra precautions that will continue to grow and adapt with their environment over the long-term. Determining the practicalities and capabilities of today's thermal cameras to accurately detect body temperature.

Genetec Inc., a globally renowned technology provider of unified security, public safety, operations, and business intelligence solutions, has announced how commercial real estate provider, Westminster Property Ventures has made innovative use of a range of Genetec solutions to make each of its premises safe from COVID-19 virus spread for staff, tenants and visitors. Westminster Property Ventures’ buildings house critical businesses, such as international banks, law firms, and consultancies who can be assured that amidst a global pandemic their offices remain highly secure and equipped for their return. Genetec Mission Control The newly introduced processes and technologies make smart use of Westminster Property Ventures’ existing video and access control infrastructure. For example, using the Genetec Mission Control collaborative decision management system, Westminster Property Ventures is collecting and qualifying data from thousands of sensors and security devices, before guiding security operators in their response to routine and unanticipated situations.  Among other current and critical capabilities, this helps ensure the seamless transition of out-of-hours monitoring between Westminster PV’s in-house security team and security provider, Wilson James’ monitoring center, ensuring comprehensive levels of security at all times. “Our clientele continue to expect the highest level of security and service from us whether or not they are currently choosing to work inside our buildings,” said Andrew Forbes-Jones, Facilities Manager, Westminster Property Ventures, adding “We’re grateful to Genetec and Wilson James for keeping us at the forefront of innovation and compliance in all aspects of our security and operations.” Security Center Synergis access control system COVID-19 has created new challenges for Westminster Property Ventures’ security and operations teams in maintaining a secure and safe environment for both home and remote workers, as well as those still working inside the facilities. Using the Genetec Security Center Synergis access control system, Westminster Property Ventures is taking advantage of many COVID-19 specific features, developed over the last year, to help them directly address the challenges of the global pandemic. Synergis Proximity Report Westminster Property Ventures has deployed the Genetec’s ‘Synergis Proximity Report’ Along with the system’s new occupancy management capability, Westminster Property Ventures has deployed Genetec’s ‘Synergis Proximity Report’, first deployed at McCormick Place in Chicago, North America’s largest convention center that was repurposed as a COVID-19 field hospital in spring of 2020.  Drawing data from the Synergis access control system, the solution allows Westminster Property Ventures to quickly identify individuals visiting one of their buildings, who may have come in contact with someone known to have tested positive for COVID-19 infection.  Efficient protection against COVID-19 virus “I’m constantly impressed by the ability of our partners and end users to adapt quickly to changing requirements and bring the latest innovative solutions online to address them,” said Paul Dodds, Country Manager UK at Genetec, Inc. Paul adds, “Westminster Property Ventures’ rapid response to the challenges of the pandemic mirrors our own and validates our investments in technologies that can help make our workplaces safer, healthier and more secure.”

Johan Cruijff ArenA will utilize innovative video analytics to improve visitor flow, optimize parking utilization and offer fans an anonymous way to provide feedback about the stadium experience, among other uses. The Security & Safety Things IoT platform for smart cameras will integrate into the ArenA’s operational software to provide key insights into stadium operations and ongoing health and safety measures, especially useful since the pandemic. The partnership will provide a potential model for other organizations looking to deploy technology solutions to safely reopen. IoT platform for smart cameras Security and Safety Things GmbH and the Johan Cruijff ArenA are partnering up and will deploy S&STs IoT platform for smart surveillance cameras to enhance overall fan experience, optimize ArenA operations and increase visitor security and privacy. The ArenA is home to AFC Ajax and the internationally renowned Amsterdam Innovation ArenA (AIA), a living lab established by the ArenA and the City of Amsterdam to enable development and testing of innovative stadium and smart city solutions. Security & Safety Things IoT platform S&ST IoT platform and network of cameras is integrated into the ArenA’s dashboard software The Security & Safety Things (S&ST) IoT platform and network of cameras is integrated into the ArenA’s dashboard software to provide information and analysis for safety and security as well optimization of stadium operations and visitor engagement. “Every technology selected for our innovation environment is strategic because of the potential benefits not only to our ArenA, but to the City of Amsterdam and other stadiums and large event venues seeking technological solutions to help to re-open safely and operate their facility more intelligently,” said Sander van Stiphout, Director International, Johan Cruijff ArenA. Sander van Stiphout adds, “The unique flexibility of the Security & Safety Things approach enables us to simultaneously deploy COVID-19 health and safety analytics along with business optimization tools and easily re-equip the cameras with other analytic applications as our needs change.” AI-enabled video analytic applications A series of smart cameras on the S&ST IoT platform are installed in key areas throughout the stadium. Using specialized, Artificial Intelligence-enabled video analytic applications from the S&ST Application Store that run directly on each camera, each device will provide the ArenA with valuable operational insights. When the stadium reopens, crowd detection analytics will monitor social distancing compliance and visitor flow around entrances and food or merchandise kiosks. License plate recognition cameras will assist with real-time occupancy monitoring for parking and traffic flow optimization. Queue detection applications Queue detection applications can be employed to reduce visitor wait times by directing fans to less busy areas and by providing the insights required to optimize staffing levels at peak times. In one specific area, a camera also provides the ability for visitors to provide feedback about their stadium experience in an anonymous and contact-free way by detecting the visual of a ‘thumbs-up’ or ‘thumbs-down’ from a visitor, collecting only the rating without disrupting people flow. Smart camera platform We’re honored to be joining the Johan Cruijff ArenA as an innovation partner" “The flexibility of our smart camera platform and the ArenA’s mission of innovation are very well matched to produce the intelligence necessary to address real world issues of privacy, health and safety but also new and creative ideas for stadium and event management,” said Hartmut Schaper, Chief Executive Officer (CEO), Security & Safety Things GmbH. Hartmut adds, “We’re honored to be joining the Johan Cruijff ArenA as an innovation partner and to help them provide a seamless and safe visitor experience.” Smart surveillance camera system The camera system and how it is used complies with all European and Dutch privacy regulations. Furthermore, there are various advantages to this camera system, when it comes to privacy. These cameras are equipped with powerful processors that analyze the images directly on the camera, reducing the need for a constant video stream to be passed on to a central location, where it can be monitored or further processed. Instead, the cameras can be configured to send only the information about relevant events such as when a long queue is forming, groups of people gather too closely, or individuals are not wearing face coverings as required. Only then will respective images be passed along. This reduces the processing of visitors’ personal information to an absolute minimum as opposed to a traditional set-up where all footage is transmitted and centrally processed at all times.

Singapore’s Changi Airport Group, one of the most innovative and technologically advanced airports in the world, has selected Genetec, Inc. (Genetec), a globally renowned technology provider of unified security, public safety, operations, and business intelligence solutions to enhance and upgrade its security system. Genetec Security Center The three-year project, which is expected to be completed by the end of 2023, will see Genetec Security Center, a unified security platform that blends IP security systems within a single intuitive interface, underpinning the airport’s security operations, with a specific focus on the video surveillance system across its terminals. The contract for Changi Airport Group was awarded to Genetec following a rigorous competitive tender process. “Increasingly, our airport customers are understanding the deep business insights that Genetec Security Center is capable of delivering, its ability to inform and create value for multiple areas of an airport business operation and improve the overall passenger and employee experience,” said Giovanni Taccori, Commercial Lead Transportation, APAC at Genetec, Inc.

Rohde & Schwarz has installed Ireland’s first Quick Personnel Security (QPS) scanner at Kerry Airport, Farranfore, Ireland, delivering state-of-the-art technology that enables a high throughput, enhanced security, and increased safety for airport customers and staff. The airport has chosen the latest model, the latest generation R&S QPS201 launched earlier in 2020, becoming the first Rohde & Schwarz security scanner installation in Ireland. R&S QPS201 security scanner The R&S QPS201 security scanner by Rohde & Schwarz features enhanced second-generation algorithms that increase sensitivity to further boost threat detection while minimizing false alarms and reducing processing time. In addition to strengthening security, these performance gains reduce post-alarm manual checks and so help avoid physical contact to ensure social distancing. Moreover, a more efficient scanning time with R&S QPS201 balances the effects of incoming new X-ray inspection systems, which scan items inside baggage that previously had to be removed, such as laptops. The security scanner restores parity to baggage- and personnel-scanning times, helping security staff manage throughput at checkpoints and avoid excessive queuing. Rohde & Schwarz QPS scanners The Rohde & Schwarz QPS scanners are highly regarded by the air travel industry worldwide" “The Rohde & Schwarz QPS scanners are highly regarded by the air travel industry worldwide and the latest technology takes performance to an even higher level,” said Gary Walker of Rohde & Schwarz, adding “I am confident that Kerry Airport and its customers will appreciate the enhancements to service, security, and safety, and that others in Ireland will follow their lead.” Tom O’Driscoll, Chief Security Officer of Kerry Airport, commented “Now is the right time for this investment in the future of Kerry Airport, to meet the heightened expectations for safety and security within our industry. Having recently installed explosives detection systems for cabin baggage (EDS CB), we are proud to now also adopt this state-of-the-art technology in Ireland, which will set new standards for service and well-being.” R&S QPS201 was installed and setup at Kerry Airport with minimal disruption to daily activities. The system is designed to be easy to use, with intuitive graphical displays that require minimal training and let operators quickly achieve full proficiency. Integrated with millimeter-wave technology Leveraging Rohde & Schwarz expertise in millimeter-wave technology and utilizing machine-trained software algorithms, R&S QPS201 detects all types of potentially dangerous objects whether metal, ceramic, plastic, or liquid. The harmless low-energy millimeter-waves enable personal privacy to be maintained while capturing high-resolution data that enhances threat detection. The system allows an easy, hands-down posture for scanning, which is comfortable while at the same time ensuring effective screening for safety and security.

Ipsotek, a pioneer in artificial intelligence (AI) powered video analytics, has announced that it has been awarded a security systems project at the Katara Culture Village in Doha, Qatar, in partnership with Mannai Trading Co, a Qatari based company listed on the Qatar Stock Exchange. Ipsotek’s highly scalable VISuite AI platform and advanced VISuite FR facial recognition system have been selected and approved by the Qatar Ministry of Interior to improve the security and safety as well as provide business intelligence at the iconic cultural village of Katara. VISuite AI enables users to efficiently manage automatically generated alarms in real-time, resulting in reduced operator response times and the ability to track chosen behaviors of interest in complex environments. Security threat VISuite FR automatically detects and informs operators of people that have visited a site multiple times in a configurable timeframe and could pose a security threat. It is optimized for use in busy and security-sensitives scenarios where the highest level of recognition is required. In addition to the project at Katara in collaboration with Mannai ICT, Qatar’s renowned Systems Integrator and the Information & Communication Technology Division of Mannai Corporation, Ipsotek has a number of other major projects across Qatar. The company has also announced that it has appointed Mr Jihad Marei as Country Manager for Qatar and is in the process of opening a new office in one of Qatar’s Free Zones. Key strategic partners We are very proud to have been awarded the Katara Heritage Village project with Mannai Trading Co." Also known as ‘The Valley of Cultures’, Katara is one of the main cultural destinations in Qatar, featuring a museum, open amphitheatre, opera house, movie theater, conference hall, beach, Souq and multiple restaurants. Katara hosts hundreds of events and attracts over 10 million visitors each year. Charlie Bennett, Ipsotek Head of Sales for EMEA said: “We are very proud to have been awarded the Katara Heritage Village project with Mannai Trading Co. Mannai has become one of our key strategic partners in Qatar and we have enjoyed collaborating on several projects together this year, which is why we have also chosen to grow our presence in country further by employing Jihad Marei as Country Manager and open a dedicated office in Qatar.” Artificial intelligence video analytics Shamnad Karuvadi, Deputy Manager ELV Physical Security at Mannai Trading Co said: “We are very pleased to be working with Ipsotek as our solution partner for Artificial Intelligence Video Analytics. Ipsotek has added a great deal of value to the Mannai solution portfolio and together we look forward to providing the highest levels of safety and security to protect critical infrastructure. We would like to extend our sincere thanks to Charlie Bennet & Mr. Jihad Marei at Ipsotek for their extensive support.”

Security is the biggest concern for military facilities. Modern military facilities face a wide variety of risks, from cyber attacks to data theft to terrorist attacks. The Corpus Christi Naval Air Station in Corpus Christi, Texas for example, dealt with three separate attempted intrusions in a year and a half. In one incident, man driving a stolen SUV entered the base and attempted to exit through a separate entrance, but crashed his car and was then shot by security personnel. In another incident, just eight months later, the base went on lockdown again before an armed man was taken into custody. Then, in the third incident, seven months later, there was a third attempt to break into the base, this time by a man with known ties to terrorist groups. Protect sensitive facilities The man fired at the security guard at an entrance gate and struck her bulletproof vest before she raised the barrier to prevent the attacker from getting inside the base. The base’s security did a good job of preventing any serious damage during these attacks, but with the frequency of these incidents, more modern security may be needed to ensure that the next attack doesn’t end in catastrophe. Modern times call for modern security solutions, and Helios is the perfect option to protect sensitive facilities Modern times call for modern security solutions, and Helios by UVeye is the perfect option to protect sensitive facilities. Helios is safer, improves security, makes security officers’ jobs easier, works in extreme conditions, and can even identify vehicle passengers with high body temperatures to help prevent the spread of COVID-19. Helios UVIS uses machine learning and artificial intelligence to inspect the undercarriage of any vehicle that drives over its multiple high-resolution cameras. Improved safety for facilities It alerts the user on any irregularities or foreign objects hidden in the undercarriage. Inspecting the undercarriages of vehicles is very difficult for security personnel. Before Helios, there was never an effective solution for under-vehicle inspection, and even if security officers inspect the undercarriage, they may not know what to look for. They may not recognize a threat and allow a vehicle with a weapon, bomb, or other illicit or dangerous item to enter the facility. Security officers put themselves at great risk by manually inspecting vehicles, as evidenced by the attempted terrorist attack in Corpus Christi in May. With Helios, the security guard can inspect the vehicle from a safe distance by simply looking at the high-resolution images and checking for anything suspicious or unusual in the undercarriage. Detecting potential threats Scanning all vehicle types for undercarriage threats Automatic detection of illicit materials below the vehicle on the first pass Full integration to barriers, bollards and access control systems Driver and passenger fever detection capabilities No matter how well trained a security officer is, all humans make mistakes. However, with Helios, the chances of human error are greatly reduced. The system produces high-quality images of the undercarriages and alerts the security officer of any irregularities. It will even detect issues in the undercarriage of a vehicle passing through the system for the first time. Detecting potential threats is easy with UVIS. Works in extreme conditions The high-resolution images allow a security officer to see the entire undercarriage very clearly to determine whether there is anything suspicious. Instead of manually inspecting the vehicle and putting themselves at risk, security officers can inspect the vehicle from a more relaxed and safer environment and zoom in on the smallest details. Helios can withstand up to 20 tons per axle, meaning that it will survive being run over by massive vehicles Plus, Helios provides a side-by-side view of previous scans from the same vehicle if it has gone through the system before to make it easier for the officer to notice any differences. Helios can withstand up to 20 tons per axle, meaning that it will survive being run over by even massive vehicles. It is fully operational at temperatures between -20 and 40 degrees Celsius and is IP 68/54 compliant, meaning it offers full protection against sand, dust, or rain. Combat COVID-19 UVeye’s thermal sensor can also detect the body temperatures of vehicle passengers, which can identify visitors with potential fevers, improving the safety of everyone on the base. UVeye fully supports 3rd party integration and provides a multiple layer of security for any facility Integrations made in the past: ALPR Face Detection / Recognition Arm Barriers / Bollards VMS (Video Management System)​ Integrating to the centralized server provides the capability of connecting multiple systems or lanes across different sites while enabling central management and control via one screen. The centralized management system enables the client to access the different systems deployed and manage the different users and historical data. Access control systems The undercarriage of a vehicle is one of the most important parts of the vehicle to inspect, but also one of the most difficult areas to inspect. Helios is the perfect solution to prevent any weapons, bombs, drugs, or other illegal and dangerous items from entering military facilities. It can make everyone in the facility safer, including security officers, who will no longer need to manually inspect vehicles and put themselves in harm’s way. Integrating with other security and access control systems can provide a multi layer approach to tighten the entry and exit points to any sensitive site while keeping personnel and data safe.

We are several weeks into 2021, and it is already shaping up to be an eventful year. The happenings and trends from 2020 will likely carry over into the new year, but in a fast-moving industry such as ours, there will also be additional trends to watch. Looking toward the year ahead, we asked this week’s Expert Panel Roundtable: What will be the biggest security trends in 2021?

As an industry, we often speak in buzzwords. In addition to being catchy and easy to remember, these new and trendy industry terms can also reflect the state of the security market’s technology. In short, the latest buzzwords provide a kind of shorthand description of where the industry is - and where it’s going. We asked this week’s Expert Panel Roundtable: What new buzzword(s) rose to prominence in the security industry in 2020? (And how do they reflect industry trends?)

Artificial intelligence is more than just the latest buzzword in the security marketplace. In some cases, smarter computer technologies like AI and machine learning (ML) are helping to transform how security operates. AI is also expanding the industry’s use cases, sometimes even beyond the historic province of the security realm. It turns out that AI is also a timely tool in the middle of a global pandemic. We asked this week’s Expert Panel Roundtable: How is artificial intelligence (AI) changing the security market?