Senstar, a provider of perimeter intrusion detection and video management solutions, is pleased to introduce the Senstar TC200 thermal-visible, dual-video detection camera for outdoor site security.
A smart camera that detects intruders with high accuracy and low nuisance alarms, the Senstar TC200 combines the power of thermal detection with the power of visible HD color for reliable 24-hour security.
Intrusion detection sensors
Along with onboard video storage, automatic stabilization, LED illumination, long-range and wide-angle options, and dual sensor video analytics, the Senstar TC200 helps prevent crime, theft, and business disruptions.
Senstar can now offer an even more powerful comprehensive perimeter security solution"
“With outstanding detection performance in a cost-effective package, the Senstar TC200 is an ideal option for protecting fenced-in yards and perimeters, and enabling remote video monitoring applications," said Director of Product Management Brad Martin. “And, with the ability of the Senstar TC200 to complement intrusion detection sensors and integrate with the Senstar Symphony Common Operating Platform, Senstar can now offer an even more powerful comprehensive perimeter security solution."
Perimeter security solution
The Senstar TC200 will be available starting October 2021 in these 30 European countries: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, & United Kingdom.
The Senstar TC200 will be demonstrated at upcoming exhibitions in Europe. Visit Senstar at The Security Event, stand 3a/J51 from September 7-9, Expoprotection September 28-30 in Paris, and Sicherheits Expo November 24-25 in Munich.
Agent Video Intelligence (Agent Vi) has announced that it has entered into an agreement for its sale to Irisity (Iristy AB), a Sweden-based publicly listed AI video analytics company, for a total consideration of approx. US$ 67 million in cash and shares of Irisity.
Irisity, founded in 2008, develops and markets video analytics software products for improved security and surveillance, and is publicly listed in the Nasdaq First North Growth market in Stockholm, Sweden.
Agent Vi acquisition
Through the acquisition and merger of the companies, they will become the major global AI video analytics provider, offering a broad range of software and Software as a Service (SaaS) solutions, for automatic analysis of surveillance footage and real-time video streams.
The companies’ products are used by customers worldwide, in order to improve their surveillance operations
The companies’ products are used by customers worldwide, in order to improve their surveillance operations, by harnessing the power of the AI software, to automatically detect events of interest in real-time and quickly search through recorded video, so as to allow quick and effective response to security and safety events.
Itsik Kattan, the Chief Executive Officer (CEO) of Agent Vi commented “We are extremely proud to partner with Irisity through this merger and strongly believe that it will put the companies in a position to expand our global market reach and strengthen our products, and service offering, for the benefit of our customers.”
Global operations and office locations
The companies together have global operations with offices in Sweden, Israel, the USA, and Singapore, a network of over 1,000 resellers, and partnerships with dozens of renowned security monitoring companies.
Irisity’s Chief Executive Officer (CEO), Marcus Bäcklund, commented “We are very happy in welcoming this successful team to Irisity. Agent Vi has built a truly market-renowned brand and global presence, we are impressed by both the team and the technology.”
The transaction is expected to close during Q4 2021, subject to customary closing conditions.
Exabeam, the security analytics, and automation company announced the appointment of James Anderson as area vice president, EMEA channels.
In this role, Anderson will be driving Exabeam’s EMEA channel strategy and delivery, leading the EMEA channel team towards continued growth and providing support for Exabeam’s partner community of system integrators, MSSPs, and value-added resellers.
Anderson will also oversee the recruitment of new partners and expansion into new territories in the EMEA region. Following the release of the cloud-delivered Exabeam Fusion XDR and Exabeam Fusion SIEM product lines earlier this year, Anderson will also be focused on enabling partners to deliver quick time to value for their customers’ complex security use cases, regardless of their size or location.
Anderson is a 15-year veteran of the IT channel and joins Exabeam from Quest and One Identity Software, where he held leadership positions focused on global MSP and distribution and channel strategy.
Anderson started his cybersecurity career at Trend Micro, where he addressed virtualization and security
Prior to joining Quest Software, Anderson spent eight years at Ivanti where he led the EMEA partner business through a period of significant growth for the company, launching a new partner program and consolidating multiple partner communities to grow partner-sourced deals and channel cross-sell across multiple lines of business.
Anderson started his cybersecurity career at Trend Micro, where he played a key role in creating a new partner ecosystem to address the crossover of virtualization and security.
“James is an excellent addition to the EMEA leadership team, and we are delighted to welcome him at such an exciting time for the company,” said Ted Plumis, vice president, channel at Exabeam.
“As a 100% channel-focused company, our hand-picked partner community is a fundamental part of Exabeam’s broader growth strategy. James’ experience and leadership will be crucial, ensuring the team is best positioned to support our partners in taking full advantage of the significant market opportunity Exabeam has carved out in recent years.”
Anderson’s appointment follows the recent $200 million Series F capital raise, $2.4 billion valuations, and appointment of cybersecurity industry leader Michael DeCesare as CEO and president.
Cyber security and IT partnership
The goal of the XDR Alliance is to foster an open approach to XDR and enable organizations to protect themselves
Exabeam also recently announced the XDR Alliance™, a partnership of cybersecurity and information technology innovators committed to an inclusive and collaborative XDR framework and architecture.
The goal of the XDR Alliance with founding members including Armis, Expel, ExtraHop, Google Cloud Security, Mimecast, Netskope, and SentinelOne is to foster an open approach to extended detection and response (XDR) and enable organizations to protect themselves against the growing number of cyber-attacks, breaches, and intrusions.
“I’m thrilled to have the opportunity to join the Exabeam team as the company continues to cement its reputation as a global leader in security analytics and next-gen SIEM,” said James Anderson, area vice president, EMEA channels at Exabeam.
“The value Exabeam is offering security analysts globally with complete automation of threat detection, investigation, and response (TDIR) is game-changing and I look forward to working with the team, our partner community, and the broader XDR Alliance as we help define XDR and make security success the norm.”
Quantum Corporation (Quantum) announced a definitive agreement to acquire the assets of EnCloudEn, an early stage hyper-converged infrastructure (HCI) Software Company. This agreement follows Quantum’s recent acquisition of the surveillance business assets of Pivot3, an early pioneer of hyper-converged infrastructure for video surveillance workloads.
The EnCloudEn acquisition will enable Quantum to expand the addressable market for the company’s video surveillance portfolio, offering customers a solution, using their server hardware of choice, with a flexible subscription-based software model. EnCloudEn’s approach to simplicity and automation integrates tightly with Quantum’s strategy to offer customers intuitive end-to-end solutions for the video data lifecycle.
“The recent acquisition of Pivot3’s surveillance business assets brought a customer-proven solution, an established customer base, an established go-to-market, and an experienced team for the mission-critical video surveillance and physical security market.” said Jamie Lerner, the Chairman and Chief Executive Officer (CEO) at Quantum Corporation.
Open and flexible HCI software stack
The addition of EnCloudEn technology brings an open and flexible HCI software stack"
Jamie Lerner adds, “The addition of EnCloudEn technology brings an open and flexible HCI software stack that strengthens our position in the video surveillance and physical security market. We can now extend HCI solutions to a broader set of customers, accelerate our development roadmap for HCI-based solutions and employ a subscription-based software purchasing model, which is fast becoming the way businesses want to procure and manage their software investments.”
EnCloudEn was founded in 2015 and is headquartered in Bangalore, India. The company built an HCI software stack that delivers software-defined compute, storage and networking, in one virtualized platform, and is used by large banks, engineering companies, and pharmaceutical industries in India.
EnCloudEn HCI software
The EnCloudEn HCI software is hardware-agnostic, easy to manage, and simple to purchase in a pay-as-you-go model. EnCloudEn's feature-rich, hyper-converged platform allows surveillance customers to not just store video data, but run the video management system (VMS), access control, card readers, analytics, and other HCI workloads on the same platform, while bundling in the best enterprise data center security features.
Some key benefits of EnCloudEn’s software platform include:
Ability to support a wide range of x86 server hardware from systems vendors, such as Dell, Lenovo, HP, Cisco, IBM, Supermicro, and much more
Software-defined hybrid storage pooling that can handle mixed storage media (HDD, SSD, etc.) and differing system capacities, including the incorporation of large SANs
Feature-rich hyper-converged private cloud platform with policy-driven resource orchestration
Lower total cost of ownership (TCO) through the strategic use of open source, including a built-in KVM based hypervisor for ease of deployment and management
Advanced m+k erasure coding across all nodes for extreme resiliency
Automatic cache tiering for high-performance use cases
A whole set of storage data services, such as in-line compression, de-duplication, snapshots, and quality of service policies on workloads
Quantum global engineering facility in India
It also establishes a new Quantum global engineering facility in India
This technology acquisition adds key technical talent with expertise in hyper-converged infrastructure, cloud operations, and enterprise sales, along with several Red Hat certified engineers. It also establishes a new Quantum global engineering facility in India, as the company expands into more addressable markets, including India and the rest of Asia.
“When Quantum acquired the Pivot3 surveillance business assets, the acquisition expanded our ability to address physical security projects of every size and scope and manage the video surveillance data lifecycle from initial capture through expiration,” said Curt Wittich, Vice President of Sales - Strategic Markets at Quantum Corporation.
Curt Wittich adds, “This message has been resonating with customers and partners, and the EnCloudEn technology allows us to further expand on that strategy in every way.”
The asset acquisition is expected to close later this quarter and is subject to customary closing conditions.
The evolution of smart video technology continues at pace. As in many other industries, the onset of the COVID-19 pandemic expedited timelines and the artificial intelligence (AI) video world is continuing its rapid evolution in 2021.
As video demand and the use of AI to make sense of the visual data increase, the number of cameras and subsequent data produced are growing rapidly, and these are forcing the creation of new edge architectures.
Cameras and AI in traffic management
‘Smart factories’ can leverage AI to detect flaws or deviations in the production line in real time
In addition, a new generation of ‘smart’ use cases has developed. For example, in ‘smart cities’, cameras and AI analyze traffic patterns and adjust traffic lights, in order to improve vehicle flow, reduce congestion and pollution, and increase pedestrian safety.
‘Smart factories’ can leverage AI to detect flaws or deviations in the production line in real time, adjusting to reduce errors and implement effective quality assurance measures. As a result, costs can be greatly reduced through automation and earlier fault detection.
Evolution of smart video
The evolution of smart video is also happening alongside other technological and data infrastructure advancements, such as 5G. As these technologies come together, they’re impacting how we architect the edge. And, they’re driving a demand for specialized storage.
Listed below are some of the biggest trends that we’re seeing:
Greater volume means greater quality
The volume and variety of cameras continue to increase with each new advancement, bringing new capabilities. Having more cameras allow more to be seen and captured. This could mean having more coverage or more angles. It also means more real-time video can be captured and used to train AI.
Quality also continues to improve with higher resolutions (4K video and above)
Quality also continues to improve with higher resolutions (4K video and above). The more detailed the video, the more insights can be extracted from it. And, the more effective the AI algorithms can become. In addition, new cameras transmit not just one video stream, but also additional low-bitrate streams used for low-bandwidth monitoring and AI pattern matching.
Smart cameras operate 24/7
Whether used for traffic management, security or manufacturing, many of these smart cameras operate 24/7, 365 days a year, which poses a unique challenge. Storage technology must be able to keep up.
For one thing, storage has evolved to deliver high-performance data transfer speeds and data writing speeds, to ensure high quality video capture. And, actual on-camera storage technology must deliver longevity and reliability, critical to any workflow.
Real world context is vital to understanding endpoints
Whether used for business, in scientific research or in our personal lives, we’re seeing new types of cameras that can capture new types of data. With the potential benefits of utilizing and analyzing this data, the importance of reliable data storage has never been more apparent.
Considering context when designing storage technology
As we design storage technology, we must take the context into consideration, such as location and form factor. We need to think of the accessibility of cameras (or lack thereof), are they atop a tall building or maybe amid a remote jungle?
Such locations might also need to withstand extreme temperature variations. All of these possibilities need to be taken into account, so as to ensure long-lasting, reliable continuous recording of critical video data.
Chipsets are improving artificial intelligence (AI) capability
Improved compute capabilities in cameras means processing happens at the device level, enabling real-time decisions at the edge.
New camera chipsets deliver enhanced AI capability
We’re seeing new chipsets arrive for cameras that deliver improved AI capability, and more advanced chipsets add deep neural network processing for on-camera deep learning analytics. AI keeps getting smarter and more capable.
Cloud must support deep learning technology
Just as camera and recorder chipsets are coming with more compute power, in today’s smart video solutions most of the video analytics and deep learning is still done with discrete video analytics appliances or in the Cloud. To support these new AI workloads, the Cloud has gone through some transformation. Neural network processors within the Cloud have adopted the use of massive GPU clusters or custom FPGAs.
They’re being fed thousands of hours of training video, and petabytes of data. These workloads depend on the high-capacity capabilities of enterprise-class hard drives (HDDs), which can already support 20TB per drive and high-performance enterprise SSD flash devices, platforms or arrays.
Reliance on the network
Wired and wireless internet have enabled the scalability and ease of installation that has fueled the explosive adoption of security cameras, but it could only do so where LAN and WAN infrastructures already exist.
5G technology aids camera installations
Emerging cameras that are 5G-ready are being designed to load and run 3rd party applications
5G removes many barriers to deployment, allowing expansive options for placement and ease of installation of cameras at a metropolitan level. With this ease of deployment comes new greater scalability, which drives use cases and further advancements in both camera and cloud design. For example, cameras can now be standalone, with direct connectivity to a centralized cloud, as they’re no longer dependent on a local network.
Emerging cameras that are 5G-ready are being designed to load and run 3rd party applications, which can bring broader capabilities. Yet with greater autonomy, these cameras will need even more dynamic storage. They will require new combinations of endurance, capacity, performance, and power efficiency, to be able to optimally handle the variability of new app-driven functions.
Paving the way for the edge storage revolution
It’s a brave new world for smart video, and it is as complex as it is exciting. Architectural changes are being made to handle new workloads and prepare for even more dynamic capabilities at the edge and at end points. At the same time, deep learning analytics continue to evolve at the back end and the Cloud.
Understanding workload changes, whether at the camera, recorder, or the Cloud level, is critical to ensuring that new architectural changes are augmented by continuous innovation in storage technology.
Since the early 1920s, when the transition to fast food consumption began with the grand opening of White Castle in Wichita, Kansas, fast-casual dining has appealed to a fast-paced way of life – offering convenience and affordability. Today, fast-casual restaurants are as popular as ever, continuing to challenge restaurants to offer a consistent brand experience. This requires security and safety operations to be conducted at a volume and pace too rapid for humans to consistently monitor and execute productively.
24/7 safety and security
Many major fast-food chains, such as McDonald’s, Burger King, KFC, Chick-fil-A, etc., operate sophisticated systems to ensure safety and security in restaurants 24/7. This sets a standard for security hardware and equipment in all locations. These include video surveillance systems, alarm systems, time-delay safes, fortified drive-thru windows, and robbery prevention training for the entire staff.
Smart security cameras help operators automate the monitoring and analysis of visitor and employee behavior
The monitoring of video surveillance systems offers the highest level of return amongst these technologies when fast-casual chains are looking for simplified automation and optimization of operations.
Smart security cameras that combine the Internet of Things (IoT) and security cameras with Artificial Intelligence-enabled video analytics, help operators automate the monitoring and analyzing of visitor and employee behavior. By gaining valuable insights from video data, restaurant operations can be optimized, and customer experience will be enhanced.
Optimized execution and consistent quality are barriers faced by many fast-casual food chains, and when coupled with rising labor costs, low training, and high employee turnover, are making the case for technology solutions designed to help with consistent execution. However, very few are taking advantage of digitized, or automated, opportunities.
According to the Zenput, 2020 Restaurant Ops Report, 27 percent of operators say their company is embracing technology to automate various aspects of their organization “to a great extent.” However, 83 percent of operators who have embraced automation, report their experience has been positive.
Positive customer experience
Smart cameras equipped with AI-video analytics are also helping food retailers to ensure consistency
Because uniformity of the customer experience is an important aspect of fast-casual spaces, each location must streamline the entire process, from customer line entry to order, production, and delivery and exit. Smart cameras equipped with AI-video analytics are also helping food retailers to ensure consistency across locations and processes in a variety of innovative ways.
One restaurant that was able to increase sales based on business intelligence gathered from smart cameras was Happy Donazz & Co, a German baked goods chain specializing in American-style donuts. With 15 franchise outlets occupying a mix of locations, including in shopping centers and some inside major food retailers, the German chain needed a consistent way to analyze the performance of individual outlets.
This information would be used to create internal benchmarks for corporate and franchisee use as well as to provide individual franchise owners intelligence to make improvements and boost individual store sales.
Enhanced restaurant layout
Happy Donazz deployed a footfall application in its stores to monitor visitor traffic and customer flow. By gathering visual analysis over time, Happy Donazz was able to detect and respond to customer flow patterns.
Through the use of heat mapping applications, a geographical representation of the data can be gained from camera systems, enabling operators like Happy Donazz to easily identify critical areas and take appropriate action to optimize the layout. For example, if a restaurant offers a self-checkout or online order pick-up station, smart cameras can help decision-makers in designing the best possible routes through a restaurant for customers.
Over time, analysis can also help identify weaknesses in restaurant layout and improve overall customer experience. By offering real-time insights, cameras can also help to spot loitering in the restroom or identify suspicious behavior in corners or hallways that are difficult to monitor. The cameras can also monitor the self-checkout or online order pick-up areas for suspicious behavior and possible thefts.
Video analytics for streamlined staffing and operations
Smart security cameras analyze restaurant occupancy to plan to staff based on actual demand, rather than just feeling
Proper staffing for busy times can be difficult for many fast-casual restaurants. Smart cameras can help fine-tune and optimize personnel planning by analyzing restaurant occupancy continuously. This ensures managers can keep enough staff on hand at all times, creating superior customer experiences.
Smart security cameras detect visitors entering and leaving a restaurant, using people counting applications, and analyze restaurant occupancy over time enabling managers to plan to staff based on actual demand, rather than just gut feeling.
The future of AI video analytics in fast-casual restaurants
Today’s technology has evolved from “digital” to “smart,” leveraging AI to gain better insights into business operations and understand customer behavior. While fast-casual restaurants have been required to adapt to modern technologies faster than other restaurants due to the speed and accuracy requirements of production, this offers them the unique opportunity to be some of the first to leverage video analytic technology.
With this in mind, fast-food/fast-casual restaurants can ensure each store is running as optimally as possible, offering consistent experience and ensuring quality standards are being met – ushering in the dining experience of the future.
James Twigg is the Managing Director of Total Integrated Solutions (TIS), an independent life safety, security and communication systems integrator, specializing in design & consultancy, technology and regulatory compliance.
Total Integrated Solutions work primarily with retirement villages, helping to ensure the safety of residents in numerous retirement villages across the country. In this opinion piece, James shares how smart technology is helping security teams and care staff alike in ensuring the safety and security of their spaces, amid the COVID-19 pandemic and beyond.
Impact of smart technology
Smart technology is having an impact on pretty much every aspect of our lives
Smart technology is having an impact on pretty much every aspect of our lives. From how we travel, to how we work, to how we run our homes. It’s not unusual to have Alexa waking us up and ordering our groceries or Nest to be regulating the temperature and energy in our homes.
And while there’s a popular misconception that people in their later years are allergic to technology, retirement villages and care homes are experiencing significant innovation too. And the result is not only improved quality of life for residents, but also improved safety and security systems for management teams.
Switching to converged IP systems
I’ve been working in the life safety and security industry for over fifteen years. When I first joined TIS, much of the sector was still very analog, in terms of the technology being installed and maintained.
Slowly but surely, we’ve been consulting and advising customers on how to design, install and maintain converged IP systems that all talk to each other and work in tandem. I'm excited to say retirement villages are some of the top spaces leading the way, in terms of technological advancement.
Improving the quality of life for residents
A move into a retirement village can be daunting and one of the key concerns that we hear about is the loss of independence. No one wants to feel like they are being monitored or to have someone constantly hovering over them. One of the ways we’ve used smart technology to maintain residents' independence is through devices, such as health monitors and motion sensors. For example, instead of having a member of staff check-in on residents every morning, to ensure they are well, sensors and analytics can automatically detect changes in routine and alert staff to possible problems.
Similarly, wearable tech, such as smart watches give residents a chance to let staff know they are okay, without having to tell them face-to-face. As our retirement village customers have told us, a simple ‘I’m okay’ command can be the difference between someone feeling independent versus someone feeling monitored.
Simplifying and improving security systems
Smart technology gives care staff and security oversight of the needs of residents
For the teams responsible for the safety of the people, places and spaces within retirement villages, smart technology is helping to improve and simplify their jobs. Smart technology gives care staff and security oversight of the needs of residents, and ensures rapid response if notified by an emergency alert, ensuring they know the exact location of the resident in need.
And without the need to go and physically check-in on every resident, staff and management can ensure staff time is being used effectively. Resources can be distributed where they are needed to ensure the safety and wellbeing of those residents who need extra consideration.
When planning the safety and security for retirement villages, and other residential spaces, it’s no use having traditional systems that only work effectively for 12 hours a day or need to update during the evening. Surveillance needs to be 24/7 and smart technology allows that without the physical intrusion into people’s spaces and daily lives.
Smart technology ensures that systems speak to each other and are easily and effectively managed on one integrated system. This includes video surveillance, which has also become much more effective as a result of advanced video analytics, which automatically warn staff of suspicious behavior.
Securing spaces amid COVID-19
This year has, of course, brought new challenges for safety. COVID-19 hit the retirement and residential care sectors hard, first with the initial wave of infections in mid-2020 and then, with the subsequent loneliness caused by the necessary separation of families.
As essential workers, we worked closely with our customers to make sure they had everything they needed
As essential workers, we worked closely with our customers to make sure they had everything they needed during this time, equipping residents with tablet devices to ensure they could stay connected with their families and friends. It allowed residents to keep in touch without risking transferring the virus.
Thermal cameras and mask detection
And now that we’re emerging out of COVID-19 restrictions and most residents can see their families again, we’re installing systems like thermal cameras and mask detection, so as to ensure that security will be alerted to anyone in the space experiencing a high temperature or not wearing proper PPE.
Such steps give staff and families alike, the peace-of-mind that operational teams will be alerted at the earliest possible moment, should a COVID-19 risk appear. Thinking ahead to the next fifteen years, I’m excited at the prospect of further technological advancements in this space.
Because at the end of the day, it’s not about how complex your security system is or how you compete in the industry. It’s about helping teams to protect the people, spaces and places that matter. I see smart technology playing a huge role in that for years to come.
A new generation of video cameras is poised to boost capabilities dramatically at the edge of the IP network, including more powerful artificial intelligence (AI) and higher resolutions, and paving the way for new applications that would have previously been too expensive or complex.
Technologies at the heart of the coming new generation of video cameras are Ambarella’s newest systems on chips (SoCs). Ambarella’s CV5S and CV52S product families are bringing a new level of on-camera AI performance and integration to multi-imager and single-imager IP cameras. Both of these SoCs are manufactured in the ‘5 nm’ manufacturing process, bringing performance improvements and power savings, compared to the previous generation of SoCs manufactured at ‘10nm’.
CV5S and CV52S AI-powered SoCs
The CV5S, designed for multi-imager cameras, is able to process, encode and perform advanced AI on up to four imagers at 4Kp30 resolution, simultaneously and at less than 5 watts. This enables multi-headed camera designs with up to four 4K imagers looking at different portions of a scene, as well as very high-resolution, single-imager cameras of up to 32 MP resolution and beyond.
The CV52S, designed for single-imager cameras with very powerful onboard AI, is the next-generation of the company’s successful CV22S mainstream 4K camera AI chip. This new SoC family quadruples the AI processing performance, while keeping the same low power consumption of less than 3 watts for 4Kp60 encoding with advanced AI processing.
Faster and ubiquitous AI capabilities
Ambarella’s newest AI vision SoCs for security, the CV5S and CV52S, are competitive solutions"
“Security system designers desire higher resolutions, increasing channel counts, and ever faster and more ubiquitous AI capabilities,” explains John Lorenz, Senior Technology and Market Analyst, Computing, at Yole Développement (Yole), a French market research firm.
John Lorenz adds, “Ambarella’s newest AI vision SoCs for security, the CV5S and CV52S, are competitive solutions for meeting the growing demands of the security IC (integrated circuit) sector, which our latest report forecasts to exceed US$ 4 billion by 2025, with two-thirds of that being chips with AI capabilities.”
Edge AI vision processors
Ambarella’s new CV5S and CV52S edge AI vision processors enable new classes of cameras that would not have been possible in the past, with a single SoC architecture. For example, implementing a 4x 4K multi-imager with AI would have traditionally required at least two SoCs (at least one for encoding and one for AI), and the overall power consumption would have made those designs bulky and prohibitively expensive.
By reducing the number of required SoCs, the CV5S enables advanced camera designs such as AI-enabled 4x 4K imagers at price points much lower than would have previously been possible. “What we are usually trying to do with our SoCs is to keep the price points similar to the previous generations, given that camera retail prices tend to be fairly fixed,” said Jerome Gigot, Ambarella's Senior Director of Marketing.
4K multi-imager cameras
“However, higher-end 4K multi-imager cameras tend to retail for thousands of dollars, and so even though there will be a small premium on the SoC for the 2X improvement in performance, this will not make a significant impact to the final MSRP of the camera,” adds Jerome Gigot.
In addition, the overall system cost might go down, Gigot notes, compared to what could be built today because there is no longer a need for external chips to perform AI, or extra components for power dissipation.
The new chips will be available in the second half of 2021, and it typically takes about 12 to 18 months for Ambarella’s customers (camera manufacturers) to produce final cameras. Therefore, the first cameras, based on these new SoCs, should hit the market sometime in the second half of 2022.
Reference boards for camera manufacturers
The software on these new SoCs is an evolution of our unified Linux SDK"
As with Ambarella’s previous generations of edge AI vision SoCs for security, the company will make available reference boards to camera manufacturers soon, allowing them to develop their cameras based on the new CV5S and CV52S SoC families.
“The software on these new SoCs is an evolution of our unified Linux SDK that is already available on our previous generations SoCs, which makes the transition easy for our customers,” said Jerome Gigot.
Better crime detection
Detecting criminals in a crowd, using face recognition and/or license plate recognition, has been a daunting challenge for security, and one the new chips will help to address.
“Actually, these applications are one of the main reasons why Ambarella is introducing these two new SoC families,” said Jerome Gigot.
Typically, resolutions of 4K and higher have been a smaller portion of the security market, given that they came at a premium price tag for the high-end optics, image sensor and SoC. Also, the cost and extra bandwidth of storing and streaming 4K video were not always worth it for the benefit of just viewing video at higher resolution.
4K AI processing on-camera
The advent of on-camera AI at 4K changes the paradigm. By enabling 4K AI processing on-camera, smaller objects at longer distances can now be detected and analyzed without having to go to a server, and with much higher detail and accuracy compared to what can be done on a 2 MP or 5 MP cameras.
This means that fewer false alarms will be generated, and each camera will now be able to cover a longer distance and wider area, offering more meaningful insights without necessarily having to stream and store that 4K video to a back-end server. “This is valuable, for example, for traffic cameras mounted on top of high poles, which need to be able to see very far out and identify cars and license plates that are hundreds of meters away,” said Jerome Gigot.
The advent of on-camera AI at 4K changes the paradigm
Enhanced video analytics and wider coverage
“Ambarella’s new CV5S and CV52S SoCs truly allow the industry to take advantage of higher resolution on-camera for better analytics and wider coverage, but without all the costs typically incurred by having to stream high-quality 4K video out 24/7 to a remote server for offline analytics,” said Jerome Gigot.
He adds, “So, next-generation cameras will now be able to identify more criminals, faces and license plates, at longer distances, for an overall lower cost and with faster response times by doing it all locally on-camera.”
Deployment in retail applications
Retail environments can be some of the toughest, as the cameras may be looking at hundreds of people at once
Retail applications are another big selling point. Retail environments can be some of the toughest, as the cameras may be looking at hundreds of people at once (e.g., in a mall), to provide not only security features, but also other business analytics, such as foot traffic and occupancy maps that can be used later to improve product placement.
The higher resolution and higher AI performance, enabled by the new Ambarella SoCs, provide a leap forward in addressing those scenarios. In a store setup, a ceiling-mounted camera with four 4K imagers can simultaneously look at the cashier line on one side of the store, sending alerts when a line is getting too long and a new cashier needs to be deployed, while at the same time looking at the entrance on the other side of the store, to count the people coming in and out.
This leaves two additional 4K imagers for monitoring specific product aisles and generating real-time business analytics.
Use in cashier-less stores
Another retail application is a cashier-less store. Here, a CV5S or CV52S-based camera mounted on the ceiling will have enough resolution and AI performance to track goods, while the customer grabs them and puts them in their cart, as well as to automatically track which customer is purchasing which item.
In a warehouse scenario, items and boxes moving across the floor could also be followed locally, on a single ceiling-mounted camera that covers a wide area of the warehouse. Additionally, these items and boxes could be tracked across the different imagers in a multi-headed camera setup, without the video having to be sent to a server to perform the tracking.
Updating on-camera AI networks
Another feature of Ambarella’s SoCs is that their on-camera AI networks can be updated on-the-fly, without having to stop the video recording and without losing any video frames.
So, for example in the case of a search for a missing vehicle, the characteristics of that missing vehicle (make, model, color, license plate) can be sent to a cluster of cameras in the general area, where the vehicle is thought to be missing, and all those cameras can be automatically updated to run a live search on that specific vehicle.
If any of the cameras gets a match, a remote operator can be notified and receive a picture, or even a live video feed of the scene.
Efficient traffic management
With the CV52S edge AI vision SoC, those decisions can be made locally at each intersection by the camera itself
Relating to traffic congestion, most big cities have thousands of intersections that they need to monitor and manage. Trying to do this from one central location is costly and difficult, as there is so much video data to process and analyze, in order to make those traffic decisions (to control the traffic lights, reverse lanes, etc.).
With the CV52S edge AI vision SoC, those decisions can be made locally at each intersection by the camera itself. The camera would then take actions autonomously (for example, adjust traffic-light timing) and only report a status update to the main traffic control center. So now, instead of having one central location trying to manage 1,000 intersections, a city can have 1,000 smart AI cameras, each managing its own location and providing updates and metadata to a central server.
Privacy is always a concern with video. In this case, doing AI on-camera is inherently more private than streaming the video to a server for analysis. Less data transmission means fewer points of entry for a hacker trying to access the video.
On Ambarella’s CV5S and CV52S SoCs, the video can be analyzed locally and then discarded, with just a signature or metadata of the face being used to find a match. No actual video needs to be stored or transmitted, which ensures total privacy.
In addition, the chips contain a very secure hardware cyber security block, including OTP memory, Arm TrustZones, DRAM scrambling and I/O virtualization. This makes it very difficult for a hacker to replace the firmware on the camera, providing another level of security and privacy at the system level.
Another privacy feature is the concept of privacy masking. This feature enables portions of the video (say a door or a window) to be blocked out, before being encoded in the video stream. The blocked portions of the scene are not present in the recorded video, thus providing a privacy option for cameras that are facing private areas.
“With on-camera AI, each device becomes its own smart endpoint, and can be reconfigured at will to serve the specific physical security needs of its installation,” said Jerome Gigot, adding “The possibilities are endless, and our mission as an SoC maker is really to provide a powerful and easy-to-use platform, complete with computer-vision tools, that enable our customers and their partners to easily deploy their own AI software on-camera.”
Physical security in parking lots
With a CV5S or CV52S AI-enabled camera, the camera will be able to cover a much wider portion of the parking lot
One example is physical security in a parking lot. A camera today might be used to just record part of the parking lot, so that an operator can go back and look at the video if a car were broken into or some other incident occurred.
With a CV5S or CV52S AI-enabled camera, first of all, the camera will be able to cover a much wider portion of the parking lot. Additionally, it will be able to detect the license plates of all the cars going in and out, to automatically bill the owners.
If there is a special event, the camera can be reprogrammed to identify VIP vehicles and automatically redirect them to the VIP portion of the lot, while reporting to the entrance station or sign how many parking spots are available. It can even tell the cars approaching the lot where to go.
Advantages of using edge AI vision SoCs
Jerome Gigot said, “The possibilities are endless and they span across many verticals. The market is primed to embrace these new capabilities. Recent advances in edge AI vision SoCs have brought about a period of change in the physical security space. Companies that would have, historically, only provided security cameras, are now getting into adjacent verticals such as smart retail, smart cities and smart buildings.”
He adds, “These changes are providing a great opportunity for all the camera makers and software providers to really differentiate themselves by providing full systems that offer a new level of insights and efficiencies to, not only the physical security manager, but now also the store owner and the building manager.”
He adds, “All of these new applications are extremely healthy for the industry, as they are growing the available market for cameras, while also increasing their value and the economies of scale they can provide. Ambarella is looking forward to seeing all the innovative products that our customers will build with this new generation of SoCs.”
Imagine a world where video cameras are not just watching and reporting for security, but have an even wider positive impact on our lives. Imagine that cameras control street and building lights, as people come and go, that traffic jams are predicted and vehicles are automatically rerouted, and more tills are opened, just before a queue starts to form.
Cameras with AI capabilities
Cameras in stores can show us how we might look in the latest outfit as we browse. That’s the vision from Panasonic about current and future uses for their cameras that provide artificial intelligence (AI) capabilities at the edge.
Panasonic feels that these types of intelligent camera applications are also the basis for automation and introduction of Industry 4.0, in which processes are automated, monitored and controlled by AI-driven systems.
4K network security cameras
The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications
Panasonic’s 4K network security cameras have built-in AI capabilities suitable for this next generation of intelligent applications in business and society. The company’s i-PRO AI-capable camera line can install and run up to three AI-driven video analytic applications.
The AI engine is directly embedded into the camera, thus reducing costs and Panasonic’s image quality ensures the accuracy of the analytics outcome.
FacePRO facial recognition technology
Panasonic began advancing AI technology on the server side with FacePRO, the in-house facial recognition application, which uses AI deep learning capabilities. Moving ahead, they transitioned their knowledge of AI from the server side to the edge, introducing i-PRO security cameras with built-in AI capabilities last summer, alongside their own in-house analytics.
Moreover, in line with the Panasonic approach to focus more on collaboration with specialist AI software developers, a partnership with Italian software company, A.I. Tech followed in September, with a range of intelligent applications, partially based on deep learning. Additional collaborations are already in place with more than 10 other developers, across the European Union, working on more future applications.
i-PRO AI-capable security cameras
Open systems are an important part of Panasonic’s current approach. The company’s i-PRO AI-capable cameras are an open platform and designed for third-party application development, therefore, applications can be built or tailored to the needs of an individual customer.
Panasonic use to be a company that developed everything in-house, including all the analytics and applications. “However, now we have turned around our strategy by making our i-PRO security cameras open to integrate applications and analytics from third-party companies,” says Gerard Figols, Head of Security Solutions at Panasonic Business Europe.
Flexible and adapting to specific customer needs
This new approach allows the company to be more flexible and adaptable to customers’ needs. “At the same time, we can be quicker and much more tailored to the market trend,” said Gerard Figols.
He adds, “For example, in the retail space, enabling retailers to enhance the customer experience, in smart cities for traffic monitoring and smart parking, and by event organizers and transport hubs to monitor and ensure safety.”
Edge-based analytics offer multiple benefits over server-based systems
Edge-based analytics offer multiple benefits over server-based systems. On one hand, there are monetary benefits - a cost reduction results from the decreased amount of more powerful hardware required on the server side to process the data, on top of reduction in the infrastructure costs, as not all the full video stream needs to be sent for analysis, we can work solely with the metadata.
On the other hand, there are also advantages of flexibility, as well as reliability. Each camera can have its own individual analytic setup and in case of any issue on the communication or server side, the camera can keep running the analysis at the edge, thereby making sure the CCTV system is still fully operational. Most importantly, systems can keep the same high level of accuracy.
Explosion of AI camera applications
We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications"
“We can compare the explosion of AI camera applications to the way we experienced it for smartphone applications,” said Gerard Figols, adding “However, it doesn’t mean the hardware is not important anymore, as I believe it’s more important than ever. Working with poor picture quality or if the hardware is not reliable, and works 24/7, software cannot run or deliver the outcome it has been designed for.”
As hardware specialists, Figols believes that Panasonic seeks to focus on what they do best - Building long-lasting, open network cameras, which are capable of capturing the highest quality images that are required for the latest AI applications, while software developers can concentrate on bringing specialist applications to the market. Same as for smartphones, AI applications will proliferate based on market demand and succeed or fail, based on the value that they deliver.
Facial recognition, privacy protection and cross line technologies
Panasonic has been in the forefront in developing essential AI applications for CCTV, such as facial recognition, privacy protection and cross line.
However, with the market developing so rapidly and the potential applications of AI-driven camera systems being so varied and widespread, Panasonic quickly realized that the future of their network cameras was going to be in open systems, which allow specialist developers and their customers to use their sector expertise to develop their own applications for specific vertical market applications, while using i-PRO hardware.
Metadata for detection and recognition
Regarding privacy, consider that the use of AI in cameras is about generating metadata for the detection and recognition of patterns, rather than identifying individual identities.
“However, there are legitimate privacy concerns, but I firmly believe that attitudes will change quickly when people see the incredible benefits that this technology can deliver,” said Gerard Figols, adding “I hope that we will be able to redefine our view of cameras and AI, not just as insurance, but as life advancing and enhancing.”
i-PRO AI Privacy Guard
One of the AI applications that Panasonic developed was i-PRO AI Privacy Guard
Seeking to understand and appreciate privacy concerns, one of the AI applications that Panasonic developed was i-PRO AI Privacy Guard that generates data without capturing individual identities, following European privacy regulations that are among the strictest in the world.
Gerard Fogils said, “The combination of artificial intelligence and the latest generation open camera technology will change the world’s perceptions from Big Brother to Big Benefits. New applications will emerge as the existing generation of cameras is updated to the new open and intelligent next generation devices, and the existing role of the security camera will also continue.”
Future scope of AI and cameras
He adds, “Not just relying on the security cameras for evidence when things have gone wrong, end users will increasingly be able to use AI and the cameras with much higher accuracy to prevent false alarms and in a proactive way to prevent incidents."
Gerard Figols concludes, “That could be monitoring and alerting when health and safety guidelines are being breached or spotting and flagging patterns of suspicious behavior before incidents occur.”
Growth is accelerating in the smart cities market, which will quadruple in the next four years based on 2020 numbers. Top priorities are resilient energy and infrastructure projects, followed by data-driven public safety and intelligent transportation.
Innovation in smart cities will come from the continual maturation of relevant technologies such as artificial intelligence (AI), the Internet of Things (IoT), fifth-generation telecommunications (5G) and edge-to-cloud networking. AI and computer vision (video analytics) are driving challenges in security and safety, in particular, with video management systems (VMSs) capturing video streams and exposing them to various AI analytics.
Adoption of disruptive technologies
“Cities are entering the critical part of the adoption curve,” said Kasia Hanson, Global Director, Partner Sales, IOT Video, Safe Cities, Intel Corp. “They are beginning to cross the chasm to realize their smart city vision. Cities are taking notice and have new incentives to push harder than before. They are in a better position to innovate.”
“Safety and security were already important market drivers responsible for adoption of AI, computer vision and edge computing scenarios,” commented Hanson, in a presentation at the Milestone Integration Platform Symposium (MIPS) 2021. She added: “2020 was an inflection point when technology and the market were ripe for disruption. COVID has accelerated the adoption of disruptive technologies in ways we could not have predicted last year.”
Challenges faced by cities
Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018 Providing wide-ranging services is an expanding need in cities of all sizes. There are currently 33 megacities globally with populations over 10 million. There are also another 4,000 cities with populations over 100,000 inhabitants. Challenges for all cities include improving public health and safety, addressing environmental pressures, enabling mobility, improving quality of life, promoting economic competitiveness, and reducing costs.
Spending in the European Union on public order and safety alone stood at 1.7% of GDP in 2018. Other challenges include air quality – 80% of those living in urban areas are exposed to air quality levels that exceed World Health Organization (WHO) limits. Highlighting mobility concerns is an eye-opening statistic from Los Angeles in 2017: Residents spent an average of 102 hours sitting in traffic.
“The Smart City of Today can enable rich and diverse use cases,” says Hanson. Examples include AI-enabled traffic signals to help reduce air pollution, and machine learning for public safety such as real-time visualization and emergency response. Public safety use cases include smart and connected outdoor lighting, smart buildings, crime prevention, video wearables for field agents, smart kiosks, and detection of noise level, glass breaks, and gunshots.
Smart technology will make indoor spaces safer by controlling access to a building with keyless and touchless entry. In the age of COVID, systems can also detect face mask compliance, screen for fever, and ensure physical distancing.
2020 was an inflection point when technology and the smart cities market were ripe for disruption, Kasia Hanson told the MIPS 2021 audience.
Video workloads will provide core capabilities as entertainment venues reopen after the pandemic. When audiences attend an event at a city stadium, deep learning and AI capabilities analyze customer behaviors to create new routes, pathways, signage and to optimize cleaning operations. Personalized digital experiences will add to the overall entertainment value.
In the public safety arena, video enables core capabilities such as protection of people, assets, and property, emergency response, and real-time visualization, and increased situational awareness. Video also provides intelligent incident management, better operational efficiency, and faster information sharing and collaboration.
Smart video strategy
Intel and Milestone provide video solutions across many use cases, including safety and security Video at the edge is a key element in end-to-end solutions. Transforming data from various point solutions into insights is complicated, time-consuming, and costly. Cities and public venues are looking for hardware, software, and industry expertise to provide the right mix of performance, capabilities, and cost-effectiveness.
Intel’s smart video strategy focuses around its OpenVINO toolkit. OpenVINO, which is short for Open Visual Inference and Neural network Optimization, enables customers to build and deploy high-performing computer vision and deep learning inference applications.
Intel and Milestone partnership – Video solutions
“Our customers are asking for choice and flexibility at the edge, on-premises and in the cloud,” said Hansen in her presentation at the virtual conference. “They want the choice to integrate with large-scale software packages to speed deployment and ensure consistency over time. They need to be able to scale computer vision. Resolutions are increasing alongside growth in sensor installations themselves. They have to be able to accommodate that volume, no matter what causes it to grow.”
As partners, Intel and Milestone provide video solutions across many use cases, including safety and security. In effect, the partnership combines Intel’s portfolio of video, computer vision, inferencing, and AI capabilities with Milestone’s video management software and community of analytics partners.
Given its complex needs, the smart cities market is particularly inviting for these technologies.
IDIS end-to-end video is protecting a new, purpose-built visitor center at Canterbury Cathedral, part of a $34 million renovation project transforming one of the UK’s most important UNESCO Heritage sites. The seven-year program, preserving and safeguarding the fifteen-centuries-old masterpiece of English Gothic architecture – and mother church of the worldwide Anglican communion - includes the addition of a new, purpose-built welcome center for visitors.
The center, housing retail facilities, a viewing gallery, and community studio exhibition space, is protected with a best-in-class video solution which combines discrete monitoring with high-performance image capture.
Real time monitoring
Specialist systems integrator Hall & Kay Security Engineering was tasked with delivering a solution that would be affordable, easy-to-use, and allow for comprehensive real time monitoring, while ensuring reliable recording without data loss. And because this was part of a much wider project, the video technology also had to be fast and easy to install – essential for avoiding project overruns in this complex, multidisciplinary construction environment, and preventing any delays to the new welcome center’s opening.
This IDIS Korean-made tech also gives Canterbury assurance of trusted manufacturing origin
Based on previous experience, Hall & Kay had no hesitation recommending IDIS end-to-end tech, incorporating cameras, recorders VMS, and essential peripherals. This IDIS Korean-made tech also gives Canterbury assurance of trusted manufacturing origin and high-level cybersecurity protection, with its inherent, multi-layered encryptions and proprietary protocols to safeguard sensitive video data.
Variable lighting conditions
To give high-definition video coverage of the Welcome Center’s entrances, retail area and exhibition spaces, Hall & Kay installed IDIS Full HD DC-4223WRX IR dome cameras. These vandal-resistant models come equipped with varifocal lenses, true WDR and IR LED to deliver crisp, clear images even in challenging and variable lighting conditions.
They connect to three 16-channel DD-1216 NVRs to handle recording and deliver 480ips live view with no visible latency. Easy plug-and-play allowed for seamless and rapid connectivity and mutual two-factor authentication of devices streamlined cybersecurity measures, the cornerstone of IDIS DirectIP® solutions.
Specific user permissions
The IDIS cameras, NVRs and VMS discretely blend with the center’s architecture
The license-free IDIS Center VMS gives the cathedral Constable and his security team complete visual awareness and easy control tools for efficient management, plus the ability to configure specific user permissions to give senior staff and system administrators timely access to video footage.
The IDIS cameras, NVRs and VMS discretely blend with the center’s architecture without detracting from the visitor experience, while providing effective real-time monitoring. “The solution is now protecting property, enhancing safety for visitors and staff, and providing a complete record of events at one of the UK’s busiest and most important heritage sites,” says David Stokes, Divisional Director, Hall & Kay Security Engineering.
Compelling business case
“The IDIS end-to-end solution allowed us to present this important customer with a compelling business case, with no up-front or ongoing licensing fees, extended warranties and a low total cost of ownership. The solution is also highly flexible and scalable, thanks to long-term hardware support and forward- and backward-compatibility, which future-proofs the cathedra’s investment.”
“The choice of IDIS video for this most sensitive of sites is testament to the reliability, quality and cybersecurity of our Korean-made tech,” adds Jamie Barnfield, Senior Sales Director, IDIS Europe. “This is just one of many projects we are working on with Hall & Kay in-line with the IDIS philosophy of building sustainable strategic partnerships with integrators and end user customers.”
Hanwha Techwin a supplier of IP and analog video surveillance solutions, announces that Round1 Entertainment, a multi-entertainment facility offering bowling, arcade games, billiards, karaoke, and other activities in an indoor facility complex has chosen Hanwha cameras, NVRs and WAVE VMS to secure several of its US-based facilities.
Until recently, security at Round1 centers in the US focused mainly on internal and external theft. As the company began building more sports challenge zones, however, it started seeing an increase in litigation from visitors making claims about injuries.
Physical security system
To protect the company against false claims, Round1 decided to increase data retention requirements at their facilities to store footage for two years to allow staff to go back and review incidents to determine the validity of any claim made against the company.
Round1 implemented a remote storage solution featuring a 124 TB NVR from Hanwha Techwin
To help design a physical security system that would meet the new retention requirements, Round1 implemented a remote storage solution featuring a 124 TB NVR from Hanwha Techwin that performs continuous back-ups to ensure that the data is secure. This NVR is then supported by an outside server. The total storage for the facility is 528TB, which enables them to comply with the two-year retention requirement.
Protecting against liability requires capturing and storing wide-angle, high-resolution video. To achieve this, a total of 77 cameras were deployed from Hanwha Techwin, including the XNV-6011 with a fisheye lens and the PNM-7000VD. With these cameras placed throughout the center, the security system is able to capture 360° views of key areas.
One of the challenges in using fisheye lenses and dual-headed cameras is the size of the video files. These cameras are capturing high-resolution 360° images that are data-heavy and require a lot of bandwidth. Finding the right VMS to compress video and manage bandwidth is crucial. This is particularly true if you are interested in implementing long-term storage.
Optimizing motion capture
Hanwha’s Wisenet WAVE VMS is helping Round1 at Cumberland Mall in Atlanta, Georgia manage bandwidth
Hanwha’s Wisenet WAVE VMS is helping Round1 at Cumberland Mall in Atlanta, Georgia manage bandwidth. In addition to using H-265 and WiseStream II compression technology to reduce file size, they’re also using motion detection to help reduce the amount of video they capture.
“Wisenet WAVE offers Round1 everything we need to meet our retention goals. And, from an operations perspective, the day-to-day usage of the cameras is just so far superior to anything else on the market,” said Matthew Strawn, Director of Loss Prevention at Round1. They have also set the sensitivity of their video cameras to optimize motion capture so that flashing lights and other background elements don’t trigger the sensors.
Pertinent video footage
The facility at Cumberland was completed in 2020, and their security system is already yielding results. The center had an alleged injury on the skating rink that was reported long after the date it was said to have occurred. Using WAVE, Strawn was able to retrieve the pertinent video footage from the remote storage and then isolate the relevant images.
To date, Round1 has migrated seven locations to WAVE. Strawn is pleased with the outcome, saying “We have had zero issues and the coverage has been great. We haven’t had to make any adjustments and the system completely satisfies our retention needs.” And he’s not alone in his appreciation of the new system. The project at the Cumberland Mall and the migration of seven other centers to WAVE have been so successful that Round1 hopes to upgrade more in the future.
A revamped G4S security solution at the chemical industry company Synthomer’s operational center in the Czech Republic ensures that employees and valuable assets are protected from potential threats.
The Sokolov region in the western Czech Republic, not far from the German border, is home to an operational center for the British chemical industries company Synthomer, one of the world’s foremost suppliers of water-based polymers.
Synthomer’s polymers are used to manufacture many everyday products: from the medical gloves used by the doctor and dentist, the sound damping in cars, to the backing of carpets in offices. As with any site where chemicals are stored and used, security is a top priority and the G4S team in the Czech Republic has recently revamped the entire security solution at the site to give the best protection to Synthomer’s staff, property, and other important assets.
“G4S always takes a risk-based approach with our security solutions” explains Pavel Nerheš, G4S Project Development Manager in the Czech Republic. “We visit the site and carry out a thorough risk assessment, and then we design a tailored integrated security solution for our customer based on their unique risks and assets that they need to protect.” There are several risks and threats to consider when preparing the security for a chemical site.
Strong measures to prevent unauthorized entry into the perimeter and to key buildings within the site were essential
“Strong measures to prevent unauthorized entry into the perimeter and to key buildings within the site were essential,” said Pavel. “You have to consider the assets that are held on-site that you do not want to fall into the wrong hands, such as important technology that is used in the chemical manufacturing process, as well as further restricting access to high hazard zones within the site.”
Perimeter security solution
As part of the new integrated security solution, G4S redesigned the perimeter security for the site, which covers a large 4km2 area, with cameras with video analytic functionality and new IP speaker systems.
The cameras automatically detect potential intruders and instantly send information to the on-site security operation center where G4S mobile patrol officers, who are permanently on-site with patrol vehicles, can quickly respond.
Visitor management system
In any risk assessment for chemical sites, the threats that have to be considered include terrorist attacks and organized crime attacks.
Visitor Management System at entrance sites ensure strict access control and recording of any vehicles and visitors
“We have highly-trained security officers located throughout the site, we’ve installed new mechanical barriers in key areas, and our new guest kiosks (Visitor Management System) at entrance sites ensure strict access control and recording of any vehicles and visitors,” said Pavel.
“This means that Synthomer can have confidence that we always know who is on-site, and that we can quickly respond to any threats or incidents.”
G4S will also carry out annual risk assessments of the site and security solution for Synthomer to ensure that it remains as effective as possible in protecting the site and employees from evolving threats.
Milan Brejchal, Synthomer Site Manager, said, “Security is very important to us because of the high potential for security and safety risks at a site like ours. We would like to thank G4S for its professional approach. As a result of their expert risk assessments and installations, the integrated security system on site optimizes our current measures, mitigates risks, and helps us to create a more secure environment for our employees.”
BriefCam, the industry’s provider of video content analytics solutions announced that its software platform is in place at the National Mall as part of a $3.3+ million technology donation led by systems integration leader Convergint.
By making surveillance video footage searchable, actionable and quantifiable, BriefCam can help the National Park Service (NPS) and the United States Park Police (USPP) ensure a safe and enjoyable experience for visitors to the National Mall’s monuments, museums, and parks.
BriefCam and ten other vendors have joined forces to help the National Park Service (NPS) meet the challenge of creating a positive, family-friendly environment while maintaining safety and security.
Optimizing visitor experience
“We very much appreciate BriefCam’s role in this technology donation designed to help us optimize National Mall operations, safety, and visitor experience,” said Deputy Chief Mark Adamchik, Commander of the Field Operations Division for the United States Park Police.
By providing real-time alerts and the ability to search and filter video, BriefCam can help the NPS respond with agility, investigate quickly, and make informed decisions that drive safety and security, including:
Preparing Sites for Increased Traffic: The NPS can easily determine the high pedestrian traffic areas and use that information to strategically post signage for visitors. This ensures that important messages are viewable by the visitors and maintains the scenic landscape by reducing sign pollution.
Maximizing the Mall Layout: By analyzing data on where people tend to congregate, the NPS can identify opportunities for concession sales and emergency medical services, as well as attractions that could be made more kid-friendly.
Ensuring Crowd Control: BriefCam’s proximity detection and crowd density capabilities can help the NPS monitor crowding patterns and hotspot areas to help manage crowd sizes. They can even set a custom threshold for crowds and receive real-time alerts when occupancy limits are exceeded. This will be especially crucial until the pandemic has passed.
Locating Lost Children: BriefCam’s rapid video review capabilities provide high-powered technology to help the NPS reunite parents with their lost children.
“BriefCam is thrilled to collaborate with Convergint and other industry leaders to deliver innovative technology solutions for the National Mall and surrounding monuments,” said Seva Liokumovich, BriefCam’s Director of Strategic Technical Solutions.
“We look forward to continuing our collaboration and helping to provide a memorable, engaging, and safe experience for the thousands of people who visit annually.”
Adoption of General Data Protection Regulation (GDPR) by the European Union in 2016 set a new standard for data privacy. But adherence to GDPR is only one element, among many privacy concerns sweeping the global security community and leaving almost no product category untouched, from access control to video to biometrics.
Because privacy concerns are more prevalent than ever, we asked this week’s Expert Panel Roundtable: What is the impact on the physical security market?
Many of us take critical infrastructure for granted in our everyday lives. We turn on a tap, flip a switch, push a button, and water, light, and heat are all readily available. But it is important to remember that computerized systems manage critical infrastructure facilities, making them vulnerable to cyber-attacks.
The recent ransomware attack on the Colonial Pipeline is an example of the new types of threats. In addition, any number of physical attacks is also possibilities. We asked this week’s Expert Panel Roundtable: What are the security challenges of protecting critical infrastructure?
Perimeter security is the first line of defense against intruders entering a business or premises. Traditionally associated with low-tech options such as fencing, the field of perimeter security has expanded in recent years and now encompasses a range of high-tech options. We asked this week’s Expert Panel Roundtable: What are the latest trends in perimeter security technology?