Facial recognition systems

VIVOTEK, globally renowned IP surveillance solution provider, and CyberLink Corp. (5203.TW), a pioneer of AI and facial recognition technologies, has announced they have entered into a strategic partnership, which will integrate CyberLink’s FaceMe AI facial recognition engine into VIVOTEK’s IP surveillance solutions. The initial collaboration will be showcased in VIVOTEK’s booth (#SAD37) at Intersec 2020 in Dubai, United Arab Emirates.  VIVOTEK – CyberLink IP partnership We are honored to partner with CyberLink, also a Taiwanese company and to adopt CyberLink’s FaceMe" “Founded in 2000, VIVOTEK has been dedicated to the IP surveillance industry for 20 years. Entering the era of AIoT, we will continue global partnerships to accelerate and enhance video applications by joining force with top analytic software providers”, said Owen Chen, Chairman of VIVOTEK. Owen adds, “We are honored to partner with CyberLink, also a Taiwanese company and to adopt CyberLink’s FaceMe , which was ranked one of the most accurate AI facial recognition engines in the NIST Face Recognition Vendor Test (VISA and WILD tests.)”  Facial recognition intelligence “Through this strengthened alliance, facial recognition intelligence will be integrated with VIVOTEK’s network cameras and backend video management software, enabling security operators to receive accurate facial recognition alerts based on both blacklists and whitelists. We are very pleased to see our partnership being elevated to a new chapter today, further enhancing our goal to provide advanced video value for users around the globe.”  “The demand for facial recognition is booming, driven by the latest IoT and AIoT innovations, and enabling a wide array of scenarios across industries such as security, home and public safety, retail, banking and more,” said Dr. Jau Huang, CyberLink’s founder and CEO. “Each application is dependent on the performance of the cameras used to capture faces. CyberLink is pleased to partner with VIVOTEK, a world leader in surveillance cameras, and to integrate FaceMe into VIVOTEK devices to provide accurate and reliable solutions to the market.”

Intersec 2020 in Dubai (United Arab Emirates) from 19th to 21st January 2020 is an internationally renowned trade fair for security, safety and fire protection, where participants will be presenting their latest technology innovations. Intersec Dubai 2020 With 1,200 exhibitors and more than 31,000 visitors from 135 countries, Intersec 2020 will consist of three days of expansive B2B interactions and discussions on new technological developments and expertise in the global security industry and sector. The 22nd event of Intersec Dubai 2020 will be held under the patronage of his Highness Sheikh Mansoor bin Mohammed bin Rashid Al Maktoum. Architect access control readers On the occasion of this global security showpiece event, STid will be exclusively presenting two innovations integrated into the company’s exclusive range of Architect access control readers: A new facial recognition solution A new QR Code module Intersec Dubai 2020 is slated to feature innovations that make access control even smoother and more natural. Visitors can come and check out the various technologies and discuss upcoming projects at Intersec 2020 at the Dubai International Convention & Exhibition Centre on stand SA-F41.

As it is a new year and decade, it is prime time to assess the state of the video content analytics industry and ponder how it might evolve in the coming 12-18 months. The video surveillance market has been booming for many years, but the introduction of complementary video intelligence technology has enabled users to derive more value from their video surveillance investments, transforming video into actionable intelligence based on deep learning techniques and artificial intelligence. This is why a variety of industries, including retail, financial services, and shipping, are enthusiastically embracing video content analytics. Video content analysis Artificial intelligence (AI) and deep learning continue to be the key enabling technologies behind video content analysis, effectively transforming live or recorded video into structured metadata that can deliver actionable and quantifiable insights. Ongoing algorithm research and development continues to make the extraction and analysis of data increasingly efficient and accurate and the innovation in this area will progress as the world moves into 2020 and beyond.  Algorithm research and development continues to make the extraction and analysis of data increasingly efficient and accurate Because real-time video processing continues to provide significant benefit to end users – based on advances in the sophistication of real-time alerting – a top priority for organizations already leveraging video analytics is expanding the camera coverage for real-time video processing. By expanding the scope of real-time video processing, users can trigger alerts for broader environments and also increase data aggregation and visualization into dashboards in real time to drive business insights based on continuous processing with integrated video data sources. Real-time information The market demand for real-time information and immediacy will only grow, especially as users become more reliant on video intelligence dashboards for deriving current business intelligence, and – in parallel – the technology to support this will continue to improve. Facial recognition, which matches faces by correlating biometric features against a compiled watchlist or database of digital images, either extracted from video frames or uploaded to the system. With so many significant applications – from pinpointing missing persons or criminal suspects, to identifying VIP customers in a loyalty program – this technology is posed for increased adoption, as access to ideal video and conditions to support face matching become more mainstream: As higher resolution video and more efficient processing technologies evolve, face recognition solutions are becoming more effective and accurate. While the progress in this field has been significant, face recognition remains controversial and will continue to do so until regulations around its use become more definitive. Accurate video analytics The increasing availability of high-resolution video (4k, 8k) is enabling more sophisticated and accurate video analytics. Higher resolution video makes it possible to more accurately analyze and identify objects in crowds, for triggering real-time rule-based alerts when certain conditions are met, searching and filtering video, and drawing intelligence from video metadata. Technological advances drive precise analytic capabilities, such as face recognition and count-based alerting. However, the steep hardware requirements to support heavier video processing remain a barrier. As long as the cost of hardware is high, mass market adoption of higher resolution cameras will be somewhat stilted, but it’s definitely an evolution we’ll continue to monitor in the coming years.  Video surveillance networks The migration to cloud platforms offer end users the freedom of choice when it comes to video content analytics deployment Cloud-based video analytics is a trend that’s often discussed, but as of yet there has not been significant market penetration. Nonetheless, this industry – among other software solutions – is still moving in this direction, because cloud implementations offer ease of deployment and a low cost of entry. With advances to cloud development, in general, cloud platforms now boast robust cybersecurity, as well. Cloud services incur a fraction of the capital expenditures, procurement procedures, and installation and deployment expenses of on-premises implementations, and are well-suited to serving the needs of a multi-site deployment. At the very least, the migration to cloud platforms will offer end users the freedom of choice when it comes to video content analytics deployment, whether the cloud, on-premises or hybrid of the two is most suited to maximize their existing video surveillance networks. Hardware and software progress The video analytics field is posed for continued evolution in 2020, because of rapid enabling hardware and software progress that is making the technology more accessible and more valuable. BriefCam is looking forward to continuing to contribute towards the advances in video content analytics in 2020 and to evolve with the market as it grows to serve new types of end users, business units and organizations across a broad range of industries in 2020 and beyond. 

Johnson Controls introduces the exacqVision Facial Matching solution, an Artificial Intelligence enabled system that provides immediate notification of persons of interest who are returning to a retail business, venue, or other premise. Tyco will be displaying the solution at Booth 4142 at the NRF 2020 show in New York, January 12-14. Using highly accurate deep learning analytics, exacqVision Facial Matching serves as a “front door host,” with immediate recall of recognized visitors that arrive on site, such as a suspected shoplifter returning to the store, or to detect persons of interest entering a high-profile sporting event or a place of business. Deep learning capabilities “The power of exacqVision Facial Matching comes from its deep learning capabilities for accuracy as well as in its extensive integrations with exacqVision and other retail tools, such as electronic article surveillance and point of sale systems,” said Ryan Hulse, senior product manager for Exacq. “Leveraging these tools for a complete automated detection and notification system significantly lessens the burden on staff who have a whole host of other responsibilities to fulfill.” Tyco AI harmonizes video and access control solutions, streamlining the management of a facility  The engine behind exacqVision Facial Matching is Tyco AI an ever-evolving, deep learning solution that will take analytic capabilities such as object classification, behavior and facial recognition to the next level, using powerful algorithms that customize solutions to specific end user installations. To further automate this approach, Tyco AI harmonizes video and access control solutions, streamlining the management of a facility through a surveillance infrastructure rather than by disparate systems or operator intervention. Electronic Article Surveillance In a retail setting, exacqVision Facial Matching continuously compares faces against saved profiles, even with hats, glasses and facial hair, providing instant confirmation of the presence of persons of interest with color-coded facial bounding boxes. Integrated directly into exacqVision for easy configuration and deployment, the solution can capture and automatically enter into the database acceptable facial views triggered by Electronic Article Surveillance pedestals or Point of Sale keywords, growing the database of faces with minimal user interaction. Users can also be added manually into the system. Once a profile has been created and that individual returns to the business, users can receive a push notification through the Exacq Mobile app with the date, time, and image of the person of interest. Personnel will then be able to take appropriate action based on the event. The exacqVision Facial Matching also provides businesses of other types the ability to reference visitors against a known database of terminated employees or other persons of interest, whether they are returning to the same location or to another facility. For example, if a recently terminated employee returned to the workplace within a certain amount of time, Exacq Facial Matching will provide instant notification.

Ambarella, Inc., an AI vision silicon company, Lumentum, a designer and manufacturer of innovative optical and photonic products, and ON Semiconductor, a provider of CMOS image sensor solutions, announced a joint 3D sensing platform for the development of intelligent access control systems and smart video security products, such as smart video doorbells and door locks. The platform is based on Ambarella’s CV25 CVflow AI vision system on chip (SoC), structured-light powered by Lumentum’s VCSEL technology, and ON Semiconductor’s AR0237IR image sensor. Ambarella, Lumentum, and ON Semiconductor will demonstrate the platform during CES 2020. Dedicated ASIC Lumentum has worked to enable diverse applications of our VCSEL technology into ext-generation 3D sensing products" Traditional structured-light solutions need to use both an infrared (IR) camera and a separate RGB camera and typically, a dedicated ASIC for depth processing. This new platform leverages a single ON Semiconductor AR0237 RGB-IR CMOS image sensor to obtain both a visible image for viewing and an infrared image for depth sensing. The Ambarella CV25 AI vision SoC powers depth processing, anti-spoofing algorithms, 3D facial recognition algorithms, and video encoding on a single chip, significantly reducing system complexity while improving performance. “Lumentum has worked to enable diverse applications of our VCSEL technology into next-generation 3D sensing products,” said Dr. Andre Wong, vice president, product line management, 3D Sensing at Lumentum. “We are excited to partner with Ambarella to help expand the use of 3D sensing in new applications including video security and more broadly AI vision.” Single sensor solutions “ON Semiconductor’s RGB-IR sensor technology enables single sensor solutions to provide both visible and IR images in security and vision IoT applications,” said Gianluca Colli, vice president and general manager of the Commercial Sensing Division at ON Semiconductor. “Ambarella’s CV25 computer vision SoC, with its next-generation image signal processor (ISP), brings out the best image quality of our RGB-IR sensor, while providing powerful AI processing capability for innovative use cases in security applications.” It delivers 3D sensing with reduced system complexity as well as improved reliability and security “We are delighted to partner with Lumentum and ON Semiconductor to deliver a hardware platform for the next generation of intelligent access control systems and video security devices,” said Fermi Wang, president and CEO of Ambarella. “Powered by Lumentum’s VCSEL solution, ON Semiconductor’s RGB-IR technology, and our CV25 SoC, it delivers 3D sensing with reduced system complexity as well as improved reliability and security. We look forward to seeing the innovative products our customers will build with this hardware platform.” High dynamic range (HDR) processing Ambarella’s CV25 chip includes a powerful ISP, native support for RGB-IR color filter arrays, and advanced high dynamic range (HDR) processing, which results in exceptional image quality in low-light and high-contrast environments. CV25’s CVflow architecture delivers the computational power required for liveness detection and 3D face recognition, while running multiple AI algorithms for advanced features such as people counting and anti-tailgating. CV25 includes a suite of advanced security features to protect against hacking including secure boot, TrustZone and I/O virtualisation. The 3D sensing platform will be shown to select Ambarella and Lumentum customers and partners at their respective private events during CES 2020. ON Semiconductor will offer CES 2020 demonstrations of the 3D sensing platform in their demo room at the Venetian/Sands Convention center, Murano 3302.

Ambarella, Inc., an AI vision silicon company, Lumentum, a designer and manufacturer of innovative optical and photonic products, and ON Semiconductor, a provider of CMOS image sensor solutions, announces a joint 3D sensing platform for the development of intelligent access control systems and smart video security products such as smart video doorbells and door locks. The platform is based on Ambarella’s CV25 CVflow® AI vision system on chip (SoC), structured-light powered by Lumentum’s VCSEL technology, and ON Semiconductor’s AR0237IR image sensor. Ambarella, Lumentum, and ON Semiconductor will demonstrate the platform during CES 2020. Significantly reducing system complexity Lumentum has worked to enable diverse applications of our VCSEL technology into next-generation 3D sensing products" Traditional structured-light solutions need to use both an infrared (IR) camera and a separate RGB camera and typically, a dedicated ASIC for depth processing. This new platform leverages a single ON Semiconductor AR0237 RGB-IR CMOS image sensor to obtain both a visible image for viewing and an infrared image for depth sensing. The Ambarella CV25 AI vision SoC powers depth processing, antispoofing algorithms, 3D facial recognition algorithms, and video encoding on a single chip, significantly reducing system complexity while improving performance. “Lumentum has worked to enable diverse applications of our VCSEL technology into next-generation 3D sensing products,” said Dr. Andre Wong, vice president, product line management, 3D Sensing at Lumentum. “We are excited to partner with Ambarella to help expand the use of 3D sensing in new applications including video security and more broadly AI vision.” Providing powerful AI processing capability We are delighted to partner with Lumentum and ON Semiconductor to deliver a hardware platform" “ON Semiconductor’s RGB-IR sensor technology enables single sensor solutions to provide both visible and IR images in security and vision IoT applications,” said Gianluca Colli, vice president and general manager of the Commercial Sensing Division at ON Semiconductor. “Ambarella’s CV25 computer vision SoC, with its next-generation image signal processor (ISP), brings out the best image quality of our RGBIR sensor, while providing powerful AI processing capability for innovative use cases in security applications.” “We are delighted to partner with Lumentum and ON Semiconductor to deliver a hardware platform for the next generation of intelligent access control systems and video security devices,” said Fermi Wang, president and CEO of Ambarella. Improved reliability and security “Powered by Lumentum’s VCSEL solution, ON Semiconductor’s RGB-IR technology, and our CV25 SoC, it delivers 3D sensing with reduced system complexity as well as improved reliability and security. We look forward to seeing the innovative products our customers will build with this hardware platform.” Ambarella’s CV25 chip includes a powerful ISP, native support for RGB-IR color filter arrays, and advanced high dynamic range (HDR) processing, which results in exceptional image quality in low-light and high-contrast environments. CV25’s CVflow architecture delivers the computational power required for liveness detection and 3D face recognition, while running multiple AI algorithms for advanced features such as people counting and anti-tailgating. CV25 includes a suite of advanced security features to protect against hacking including secure boot, TrustZone®, and I/O virtualization.

It’s not just a new year, it’s a new decade. And somehow this makes it feel bigger. Almost like we’re moving faster or reaching farther. Technology is certainly advancing at an unprecedented pace. While there’s a lot to talk about, there are three big security trends that we think will continue to have a huge impact in the year to come. 1. What is artificial intelligence and is it going to take over? We’ve seen countless versions of artificial intelligence (AI) in pop culture—think of Sonny in the 2004 film I, Robot or Rachael in Blade Runner—so we feel we know the technology. And, based on this, we believe our anxieties around it are warranted. But, the truth is that the science to produce even far less sophisticated versions of these characters just doesn’t exist. AI today Computers use data to help improve performance without being explicitly programmed Today’s AI science is focused largely on machine learning. With machine learning, computers use data to help improve performance without being explicitly programmed. This means that, through the use of algorithms and training, a computer can be programmed to determine which features it should use in the identification process to efficiently produce the most accurate output. Over time and based on a trainer’s feedback, for example, a computer can determine that using color rather than shape to identify a flower is more efficient because the results are more accurate. Machine learning in the physical security industry In the security sector, we’re seeing good results with automatic license plate recognition (ALPR) systems that employ machine learning. Today’s ALPR cameras and systems are better at recognizing license plates from different countries, states, or provinces because they’re more efficient at identifying an ever-expanding number of inputs. We don’t need to worry that AI will be running our lives So, we don’t need to worry that AI will be running our lives. And, in fact, we should be relieved that machine learning can be used to identify scofflaw plates as this will help keep our roads and spaces safer.   2. Can we move beyond the single, secured door? With increased globalization and the rise of multinational companies, organizations everywhere are facing new challenges around visitor, and employee access management. Protecting your environment is no longer as easy as securing a single door. As the nature of work becomes more complex, organizations are going to have to take a different approach for managing the flow of people through their facilities. Organizations are going to have to take a different approach for managing the flow of people through their facilities The challenges of traditional access control We’ve seen that relying exclusively on a static access control system can increase workload and inefficiencies. With this approach, granting and revoking temporary access and provisioning employees is a labor-intensive process. It requires hands-on participation from security operators and front office staff. There is no guarantee that corporate or regulatory policies are being followed as well as little-to-no traceability. And, ultimately, the process is, by its very nature, prone to human error. Large conglomerates have been meeting these challenges by developing tailor-made solutions based on physical identity management. These systems are costly and require 3rd party support. Smaller organizations simply could not afford the time or resources necessary to implement them. Heading into 2020, we’re seeing an increase in out-of-the-box solutions that will allow organizations of all sizes to move to cloud-based identity management systems. How Physical Identity and Access Management (PIAM) systems can help More affordable Physical Identity and Access Management (PIAM) solutions will help organizations secure their systems and facilities by effectively managing access requests based on an individual’s identity and an organization’s security policies. They can ensure that only those individuals who have the right to access a secured area can do so by managing and automating the process. In effect, by extending an access control system with a PIAM, organizations of any size will be able to reduce workloads, fully implement corporate policies, and better protect their spaces.   3. Should we be nervous about facial recognition? We shouldn’t be surprised by the public’s fear of facial recognition. The idea that private citizens can be identified and tracked in public is the stuff of political espionage and sci-fi thrillers. But, beyond the fictional examples, we’ve also seen cases where facial recognition gets it wrong. Incorrectly identifying an innocent man for a robbery twice or having difficulty distinguishing members of the same race are just some of the real-world reasons people don’t trust facial recognition. How facial recognition can increase security Facial recognition technology can play a huge role in helping keep people, assets, and spaces safe. It can monitor visitors to improve safety and efficiency, assist security personnel by helping to reduce response times, and aid in the investigation of incidents. Facial recognition technology can play a huge role in helping keep people, assets, and spaces safe In the coming year, we’re going to see a greater focus on developing solutions that use a privacy-by-design approach. For video surveillance applications, this will include the ability to automatically mask—through blurring or pixelation—persons in live and stored video feeds. The system itself will ensure that only authorized personnel can access un-pixelated or blurred images and only in cases that warrant it. Anonymization Using this approach will help reduce concerns and increase protection, which will lead to greater accuracy and trust. In parallel, technology providers must continue to work with regulating bodies to ensure that the policies around implementing and using any surveillance technology, especially facial recognition, align with our values. With all these trends, we’re seeing the relationship between people and technology evolving. When we focus on improving the lives of people in our communities, we can harness the power in these advancements and make a real difference.

On November 2019 in Stockton, California, surveillance footage found that vandals shot out glass windows and doors in many places in a small business complex (FOX40). The intruders broke in only to leave with nothing, proving their intent was solely to vandalize the property. Meanwhile, it was reported that a trio of ATM thieves struck around 9 times across many different locations inside Brooklyn and Queens within just over a month in fall 2019 (ATM Marketplace). On average, the cost of vandalism to SMB is around $3,370 per incident (US Small Business Administration), including a staggering 692 vehicle vandalism claims per day. Likewise, the average cost of theft to SMB is about $300 per shoplifting incident and $1,500 per employee theft incident, which accounts for 38% and 34.5% of all theft instances, respectively (National Retail Security Survey). High-performance artificial intelligent systems can automate the monitoring tasks Vandalism and theft have proven time and time again to be inconvenient and deconstructively harmful towards SMB. However, these financial burdens can be prevented with the use of the right security system. AI-based security systems with Deep Learning contain many features that many SMB owners find advantageous in their pursuit to stop unwarranted and unwanted money loss.   Intrusion and loitering detection The first of many features that can help with vandalism and theft prevention is Intrusion Detection. High-performance artificial intelligent systems can automate the monitoring tasks for high-risk sites to provide a high level of security and security personnel monitoring efficiency. Traditional intrusion detection systems detect objects based on size and location, but they do not recognize the type of objects. 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 decreases the false-positive intrusion rate. The more advanced AI-based systems, like those we offered at IronYun, 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. 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. Advanced loitering detection software as such can detect and trigger real-time alerts for both people loitering and/or vehicles that are illegally parked in certain areas of interest. A benefit, which only certain advanced systems contain, is the ability to send trigger actions to 3rd-party systems in reaction to receiving an alert of loitering and/or intrusion detection. These trigger actions can be set to contact authorities immediately and/or trigger a scare tactic alarm or announcement to intruder/loiterer. Certain Face Recognition and License Plate Recognition software can record individual people/vehicles Face and license plate recognition In addition to the activity detection solutions, certain Face Recognition and License Plate Recognition software can record individual people/vehicles and use pre-configured lists to identify particular faces or plates that may be of interest, such as those in watchlists. These systems can also enable the users to upload images of faces not in the lists and search for them in the camera recording. For instance, if a person is detected several times loitering outside a store, one may save one of the detection photos into the watchlist, and set up an alert when said face is recognized again outside the building in the future. The alerts will help to deter and prevent vandalism or theft, and notify the authorities to the scene before the troublemaker completes the act. The main attributes of high-performance Face Recognition systems which maximize assistance with vandalism and theft management include: Face match rate > 90% with good camera angles and lighting. Processing multiple streams and multiple faces per image. Live face extraction and matching to databases of thousands of faces within 3 seconds.                                                                                                                State-of-the-art AI security software with Deep Learning allows the user to no longer need to install special LPR cameras     If the watchlist individual is wearing a mask or their face is not in view of the camera, their license plate may be a good indicator. If a particular car is detected several times loitering in the parking lot or street outside a store, the user can set the alerts for such car to get notified in the future. With an AI solution like this, common street cameras should be equipped with LPR capabilities. So, state-of-the-art AI security software with Deep Learning allows the user to no longer need to install special LPR cameras. high-performance alert mechanisms A high-performance AI solution, in addition to having high accuracy, should be able to: Easily integrate with 3rd-party systems Work well with all ONVIF IP cameras including infrared and thermal ones (for Intrusion detection) Analyzes video streams in real time and trigger alerts within a few seconds Send alerts to multiple VMSs, connect with signaling devices such as loud speakers or flashing lights Send email notifications to security staff and police departments Send notification on mobile device using AI NVR mobile app Maintains a record of all alerts to provide evidence of intrusion and loitering instances for police and insurance agencies. To assist in theft and vandalism prevention, AI-based security systems with deep learning will do all of the tedious work for you. Their low cost and high performance also make them the most accessible security solutions in the market with large return on investment. Stopping crimes is a difficult, ongoing challenge, but with the right AI software, business vendors and police departments can do so with more ease.

Imagine a home surveillance camera monitoring an elderly parent and anticipating potential concerns while respecting their privacy. Imagine another camera predicting a home burglary based on suspicious behaviors, allowing time to notify the homeowner who can in turn notify the police before the event occurs—or an entire network of cameras working together to keep an eye on neighborhood safety. Artificial Intelligence vision chips A new gen of AI vision chips are pushing advanced capabilities such as behavior analysis and higher-level security There's a new generation of artificial intelligence (AI) vision chips that are pushing advanced capabilities such as behavior analysis and higher-level security to the edge (directly on devices) for a customizable user experience—one that rivals the abilities of the consumer electronics devices we use every day. Once considered nothing more than “the eyes” of a security system, home monitoring cameras of 2020 will leverage AI-vision processors for high-performance computer vision at low power consumption and affordable cost—at the edge—for greater privacy and ease of use as well as to enable behavior analysis for predictive and preemptive monitoring. Advanced home monitoring cameras With this shift, camera makers and home monitoring service providers alike will be able to develop new edge-based use cases for home monitoring and enable consumers to customize devices to meet their individual needs. The result will be increased user engagement with home monitoring devices—mirroring that of cellphones and smart watches and creating an overlap between the home monitoring and consumer electronics markets. A quick step back reminds us that accomplishing these goals would have been cost prohibitive just a couple of years ago. Face recognition, behavior analysis, intelligent analytics, and decision-making at this level were extremely expensive to perform in the cloud. Additionally, the lag time associated with sending data to faraway servers for decoding and then processing made it impossible to achieve real-time results. Cloud-based home security devices The constraints of cloud processing certainly have not held the industry back, however. Home monitoring, a market just seven years young, has become a ubiquitous category of home security and home monitoring devices. Consumers can choose to install a single camera or doorbell that sends alerts to their phone, a family of devices and a monthly manufacturer’s plan, or a high-end professional monitoring solution. While the majority of these devices do indeed rely on the cloud for processing, camera makers have been pushing for edge-based processing since around 2016. For them, the benefit has always been clear: the opportunity to perform intelligent analytics processing in real-time on the device. But until now, the balance between computer vision performance and power consumption was lacking and camera companies weren’t able to make the leap. So instead, they have focused on improving designs and the cloud-centric model has prevailed. Hybrid security systems Even with improvements, false alerts result in unnecessary notifications and video recording Even with improvements, false alerts (like tree branches swaying in the wind or cats walking past a front door) result in unnecessary notifications and video recording— cameras remain active which, in the case of battery powered cameras, means using up valuable battery life. Hybrid models do exist. Typically, they provide rudimentary motion detection on the camera itself and then send video to the cloud for decoding and analysis to suppress false alerts. Hybrids provide higher-level results for things like people and cars, but their approach comes at a cost for both the consumer and the manufacturer. Advanced cloud analytics Advanced cloud analytics are more expensive than newly possible edge-based alternatives, and consumers have to pay for subscriptions. In addition, because of processing delays and other issues, things like rain or lighting changes (or even bugs on the camera) can still trigger unnecessary alerts. And the more alerts a user receives, the more they tend to ignore them—there are simply too many. In fact, it is estimated that users only pay attention to 5% of their notifications. This means that when a package is stolen or a car is burglarized, users often miss the real-time notification—only to find out about the incident after the fact. All of this will soon change with AI-based behavior analysis, predictive security, and real-time meaningful alerts. Predictive monitoring while safeguarding user privacy These days, consumers are putting more emphasis on privacy and have legitimate concerns about being recorded while in their homes. Soon, with AI advancements at the chip level, families will be able to select user apps that provide monitoring without the need to stream video to a company server, or they’ll have access to apps that record activity but obscure faces. Devices will have the ability to only send alerts according to specific criteria. If, for example, an elderly parent being monitored seems particularly unsteady one day or seems especially inactive, an application could alert the responsible family member and suggest that they check in. By analyzing the elderly parent’s behavior, the application could also predict a potential fall and trigger an audio alert for the person and also the family. AI-based behavior analysis Ability to analyze massive amounts of data locally and identify trends is a key advantage of AI at the edge The ability to analyze massive amounts of data locally and identify trends or perform searches is a key advantage of AI at the edge, for both individuals and neighborhoods. For example, an individual might be curious as to what animal is wreaking havoc in their backyard every night. In this case, they could download a “small animal detector” app to their camera which would trigger an alert when a critter enters their yard. The animal could be scared off via an alarm and—armed with video proof—animal control would have useful data for setting a trap. Edge cameras A newly emerging category of “neighborhood watch” applications is already connecting neighbors for significantly improved monitoring and safety. As edge cameras become more commonplace, this category will become increasingly effective. The idea is that if, for example, one neighbor captures a package thief, and then the entire network of neighbors will receive a notification and a synopsis video showing the theft. Or if, say, there is a rash of car break-ins and one neighbor captures video of a red sedan casing their home around the time of a recent incident, an AI vision-based camera could be queried for helpful information: Residential monitoring and security The camera could be asked for a summary of the dates and times that it has recorded that particular red car. A case could be made if incident times match those of the vehicle’s recent appearances in the neighborhood. Even better, if that particular red car was to reappear and seems (by AI behavior analysis) to be suspicious, alerts could be sent proactively to networked residents and police could be notified immediately. Home monitoring in 2020 will bring positive change for users when it comes to monitoring and security, but it will also bring some fun. Consumers will, for example, be able to download apps that do things like monitor pet activity. They might query their device for a summary of their pet’s “unusual activity” and then use those clips to create cute, shareable videos. Who doesn’t love a video of a dog dragging a toilet paper roll around the house? AI at the Edge for home access control Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring, and it’s an application that is expected to take off soon. With smart biometrics, cameras will be able to recognize residents and then unlock their smart front door locks automatically if desired, eliminating the need for keys. And if, for example, an unauthorized person tries to trick the system by presenting a photograph of a registered family member’s face, the camera could use “3D liveness detection” to spot the fake and deny access. With these and other advances, professional monitoring service providers will have the opportunity to bring a new generation of access control panels to market. Leveraging computer vision and deep neural networks Ultimately, what camera makers strive for is customer engagement and customer loyalty. These new use cases—thanks to AI at the edge—will make home monitoring devices more useful and more engaging to consumers. Leveraging computer vision and deep neural networks, new cameras will be able to filter out and block false alerts, predict incidents, and send real-time notifications only when there is something that the consumer is truly interested in seeing. AI and computer vision at the edge will enable a new generation of cameras that provide not only a higher level of security but that will fundamentally change the way consumers rely on and interact with their home monitoring devices.

Facial recognition continues to be a political football and a target of privacy activists in the United States. For example, San Diego has suspended its use of facial recognition scanners by law enforcement after a campaign by civil rights groups. The San Diego Tactical Identification System (TACIDS) program included a database of facial recognition scans shared by 30 local, state and federal agencies. A California law, passed in the fall, puts a three-year moratorium on law enforcement use of face recognition technology. A proposal in Congress would prohibit use of biometric recognition technology in most public and assisted housing units funded by the Department of Housing and Urban Development (HUD), thus protecting the more than two million public housing residents nationwide from being “over-surveilled.” The “No Biometric Barriers to Housing Act” is supported by the NAACP, the National Housing Law Project, National Low-Income Housing Coalition, National Action Network, Color of Change, and the Project on Government Oversight. The problems of Facial Recognition "Studies that show that facial recognition systems may misidentify many individuals including women and people of colour" A letter from seven members of Congress to HUD Secretary Ben Carson questioned the use of facial recognition in federally assisted housing because it “could be used to enable invasive, unnecessary and harmful government surveillance of…residents.” The letter cites studies that show that facial recognition systems may misidentify many individuals including women and people of color, thus “exacerbating vulnerabilities that marginalized groups already face in life.” In June, Somerville, Mass., became the second U.S. city to ban the use of facial recognition technology in public spaces. The first was San Francisco. A coalition of organizations and trade associations has issued a letter to Congress outlining concerns with “blanket prohibitions” or moratoriums on facial recognition technology and listing beneficial uses for public safety, national security and fighting fraud. The Security Industry Association (SIA) is part of the coalition, the Information Technology and Innovation Foundation. A letter from seven members of Congress to HUD Secretary Ben Carson questioned the use of facial recognition in federally assisted housing   Facial recognition technology has benefited Americans in many ways, such as helping to thwart identity thieves" The letter says: “While polls consistently show that Americans trust law enforcement to use facial recognition technology responsibly, some groups have called for lawmakers to enact bans on [the] technology. While we agree that it is important to have effective oversight and accountability of these tools to uphold and protect civil liberties, we disagree that a ban is the best option.” Development and guidance  As alternatives to outright bans, the letter proposes expanded testing and performance standards, develop of best practices and guidance for law enforcement, and additional training for different uses of the technology. “Facial recognition technology has benefited Americans in many ways, such as helping to fight human trafficking, thwart identity thieves and improve passenger facilitation at airports and enhance aviation security,” says Don Erickson, CEO of SIA. “SIA believes this advanced technology should be used in a safe, accurate and effective way, and look forward to working with Congress to help the U.S. set the example on how to ethically and responsibly govern this technology.” SIA has produced a document called “Face Facts: Dispelling Common Myths Associated with Facial Recognition Technology.”

Security’s intersection with consumer electronics is on view at CES 2020, the world’s largest technology event, Jan. 7-10 in Las Vegas. The giant show features more than 170,000 attendees, 4,500 exhibitors and 1,100 industry thought-leaders featured on the CES stage. A range of technologies will be on display, from artificial intelligence (AI) to 5G, vehicle technology to AR/VR (augmented and virtual reality), robotics to home automation. Security plays a prominent role, too.The impact of this event for the smart home could be about delivering home analytics and enhancing privacy" Smart home market on the forefront The smart home market is a major focus. “For the smart home market at CES this year, we expect to see numerous announcements regarding home awareness,” says Blake Kozak, Senior Principal Analyst at IHS Markit. “This will include brands offering up additional analytics for consumer security cameras with a focus on edge-based solutions.” “The impact of this [event] for the smart home could be about delivering home analytics and enhancing privacy through cloudless architectures and new electronic door lock approaches,” he adds. An example of cloud analytics is the Resideo Home app, introduced in December, which will make whole-home monitoring possible for four critical networks of the home – water, air, energy and security. Resideo promises a “simplified and integrated smart home experience.” Video is also prominent at the show. “For cameras, we can expect to see more cameras focused on the outdoor space and possibly new form factors for video doorbells,” says Kozak. Familiar security industry brands exhibiting at CES 2020 include ADT, Ring, August Home and Yale (both part of ASSA ABLOY), Bosch and Alarm.com. Focus on Cybersecurity In 2020, companies will continue to focus on solutions for protecting consumer data" Cybersecurity is an aspect of many of the devices on display at CES. “Device security and data privacy play a key role in the adoption of connected devices,” says Elizabeth Parks, President, Parks Associates. “Consumer security concerns for smart home products will continue to be a barrier to adoption in the U.S. and Europe, and these concerns can actually intensify with device adoption-71% of U.S. smart home households are concerned about cybersecurity. In 2020, companies will continue to focus on solutions for protecting consumer data. One big area of interest is protection on the network router, providing whole home solutions, which are very appealing to consumers.” “At CES we will see the traditional players introducing new DIY (do-it-yourself) products, as well as new players announcing new product features, services, and partnerships,” Parks adds. Smart access control Smart locks will be among the security products at CES 2020. For example, PassiveBolt, a lock company, will show the Shepherd Lock, a touch-enabled smart lock with enhanced security through sensors and AI. The add-on lock converts existing locksets into touch-activated devices. Another lock manufacturer is Kwikset, whose door locks and door hardware include Wi-Fi-enabled smart locks, Bluetooth-enabled smart locks, keyless and keyway-less locks and connected home technology. Video doorbells, including industry-innovator Ring, have been a hit in the consumer market. At CES, Ring will expand the mission to make neighborhoods safer by creating a “Ring of Security” around homes and communities with a suite of home security products and services. The “Neighbors by Ring” app enables affordable, complete, proactive home and neighborhood security. Homeguard offers a range of affordable CCTV solutions for home and small business DIY CCTV demonstrations DIY security systems are another market. Homeguard is a leading DIY consumer brand offering a range of affordable CCTV solutions for home and small business, including wired and wireless CCTV kits, smart cameras, home alarm systems and wire-free HD CCTV kits. Swann Communications is also at the forefront of surveillance and monitoring with new products developments including wire-free HD cameras and doorbells, professional CCTV video surveillance systems, and 1080p full HD systems with “True Detect” heat and motion sensing. AVTECH, and subsidiary YesGo Tech, will demonstrate a compact Wi-Fi home security set, a series of special cameras with face recognition, thermal detection and license plate recognition, customized central management software and a university ID tag that is compatible with access control, OEM and ODM opportunities. Security and automation solutions D-Link’s home networking, security and automation solutions will help consumers connect, view, share, entertain, work and play. SECO-LARM, manufacturer of a Room Occupancy Monitor that shows whether a room is in use, has a line of keypads and proximity readers with built-in Bluetooth for convenient access. Another smart home security solutions provider, Climax Technology, integrates wireless security, home automation, energy management, home emergency monitoring and live visual monitoring. Personal safety mobile application Manufacturers are positioning outdoor cameras as deterrents to theft before a burglary happens" WaryMe designs and develops a personal safety mobile application to improve a user’s security in public places, schools, transports and companies by addressing major risks such as terrorism attacks, intrusion, fire and even industrial accidents. An all-in-one mobile application integrates alerting, crisis management and mass notification features. “Market players are looking to expand beyond established smart home devices like smart thermostats and networked cameras to products like smart water leak detectors, smart pet feeders, and smart air purifiers,” says Elizabeth Parks. “Manufacturers are positioning outdoor cameras as deterrents to theft before a burglary happens. This trend is part of a broader security marketing effort to extend the perimeter of home security beyond traditional home access points.” “Familiarity with smart home devices lags behind familiarity with smart entertainment products; it even lags that of smart speakers, which are quite new in the market,” adds Parks. “In 2020, we will see players working to advance the visibility and marketing around device integration, and specifically focus on use case scenarios around safety, security, and convenience, which have always been the primary drivers of adoption of these types of products.”

Securing New Ground, the security industry’s annual executive conference this week in New York, offered food for thought about current and future trends in the security marketplace. Highlights from SNG 2019 included keynote remarks from security leaders at SAP, Johnson Controls and the Consumer Technology Association, discussions on how CSOs mitigate security risks, topic-focused thought leadership roundtables and a lively networking reception. Top trends observed at the event include cybersecurity, data privacy, facial recognition and artificial intelligence. A "View from the Top" session covered the need for companies to consider responsible use and ethics around technology; responsibility should extend throughout the organization. A panel of security leaders emphasized the need to understand the diversity of risks that end users face. As the Internet of Things (IoT) expands connectivity, the inputs, outputs and "attack surface" also expand. It's critical to have security "baked" into products themselves, and also to undertand the mission of the organization being protected, the context and correlation. Technologies transforming security market Keynote speaker Gary Shapiro, President and CEO of the Consumer Technology Association, listed the many technologies that will impact the consumer electronics market – and the security market – in the near future: artificial intelligence (AI), voice recognition, the transition to 5G and self-driving cars.As the Internet of Things expands connectivity, the inputs, outputs and "attack surface" also expand “What we're seeing today is a huge turning point in where the world is going,” said Shapiro, whose organization presents the giant CES trade show each year in Las Vegas. “It’s not just about jobs and technology, but who we are and how we address fundamental human rights.” Privacy is a component of human rights, but “in the world of AI, there is a tradeoff between innovation and privacy”. Balance between security standards Shapiro sees Europe as representing one extreme of privacy, epitomized by General Data Protection Regulation (GDPR), which he sees as stifling innovation. Meanwhile, China is pushing innovation using massive amounts of data with no regard to privacy. The United States, therefore, should look for a balance that acknowledges the inevitability of innovation while respecting privacy and realizing it is “always situational.”With new technologies, biometric ID and cybersecurity issues, your business is in a strong and growing place" Too much concern for privacy comes at a cost, Shapiro said. “Privacy zealots are killing facial recognition, step by step by step,” he said. “Regulators should not throw away the baby with the bathwater. Every technology in history has been used to cause evil and to do good. Throughout history any new technology could have been banned and made illegal.”  Shapiro offered encouraging words to the security marketplace, even in the wake of large tech firms such as Amazon entering the market. “With new technologies, biometric ID and cybersecurity issues, your business is in a strong and growing place,” he said. “There is opportunity. There will be increasing new things people want, and always new threats. People will want what you're providing, which is physical and technology security in their facility.” Scott Schafer, Chairman of the Board of the Security Industry Association (R), interviewed Steve Jones, CEO, Allied Universal, on stage about the importance of merging technology with security officers Allied Universal CEO Steve Jones discussed holistic approach Steve Jones, CEO, Allied Universal, was interviewed on stage about the importance of merging technology with security officers for a holistic approach to securing a facility. “Today, customers are asking us to look at their facility holistically and asking: What is my best approach?” said Jones. A holistic approach includes protecting people, the facility, intellectual property (IP), and how to handle visitors. Manguarding perspective on security Allied Universal looks at security from a manguarding perspective and also from a technology perspective, based on their daily experience managing security for 40,000 customer sites across the United States and Canada.Allied Universal has a new handheld technology platform that uses AI “We are in a unique position in the channel,” said Jones. “We know the stats at any customer site. We know the last time there were repairs on cameras, which card reader is malfunctioning, how long the systems company takes to respond to a call. We are at these locations 24/7 and have an intimate relationship with customer. We are a significant influencer in the decision-making process. We have an opportunity to have a voice, and to build a business around it.” Predictive security “We are looking for technology that will enhance the security of the customer,” said Jones, including situational awareness and analysis of data to predict patterns. Allied Universal has a new handheld technology platform that uses artificial intelligence (AI) to analyze data, predict outcomes, and prescribe optimum responses. Workforce development – hiring and training new employees – is a big issue for Allied Universal, which last year interviewed more than a million applicants to find around 100,000 employees. They are targeting every demographic, and last year hired 33,000 veterans. The company is using technology to help with the massive recruiting effort, including AI to analyze applicant qualifications and a computer-generated avatar to conduct the first online interview. Future security challenges Jones sees the rapid increase in the homeless population in the United States as one of the biggest security challenges of coming years. The rapid increase in the US homeless population is one of the biggest security challengesMany businesses face the prospect of homeless individuals living in front of their buildings, possibly using drugs or approaching customers. “It has become a real threat,” he said. “When they are living in front of your buildings, in many cases, there are ordinances that allow them to be there so the police will not get involved. It falls on the facility owner and private security to address the problem. Given the large homeless population we have now during good economic times, I don’t know what it will look like in an economic downturn.” Human side of security An SNG session on the human side of security observed that people are the biggest source of vulnerability. Companies should foster a "safety climate" in which security is integral to operations and viewed as something that helps employees rather than create hassles. Human resources is now a technology field and should work together with security to achieve shared goals. At the consumer and small business level, cybersecurity must also be top-of-mind and built into a security companies' DNA. SNG attendees heard about opportunities to move beyond providing products and devices to providing experiences, by partnering with customers to protect what matters most to them. While a bit of inconvenience comes along with security, products should be built in a way that is easy to use, with security baked in. The results are systems people are comfortable engaging with every day. Securing New Ground is presented by the Security Industry Association (SIA).

Danish Superliga Soccer Club Brøndby IF has enhanced fan safety by using Panasonic security solutions to prevent banned soccer hooligans from entering the stadium, while maintaining visitor privacy and complying with European Union General Data Protection Regulations (GDPR). Installing Panasonic’s FacePRO facial recognition system at the entrances to the stadium has helped to more effectively identify those on the banned list. The club had been aware that family attendance had fallen at some of the more high-profile games, such as the local derby with F.C. Copenhagen, due to concerns over hooliganism, illegal use of flares and safety. Family-friendly stadium With an average attendance of 14,000 people per game, and up to 100 registered persons on the stadium blacklist for causing trouble, the soccer club wanted to find a way to make genuine fans feel even safer at the family-friendly stadium by preventing any problems before they could occur. Up until this point, lists of banned people were distributed to security staff at the entrance gates. They would manually check each person coming into the stadium but the process was time consuming and not always effective. With the use of Panasonic’s security solution, blacklisted offenders can now be automatically identified in the crowd before they attempt to enter the stadium. System operators in the surveillance room double check matches made by the system before sending notification to the stewards at the gates to prevent them from entering. Panasonic FacePro solution Brøndby IF sought approval on its approach to GDPR compliance from the Danish Data Protection Agency The automated procedure at the stadium entrance also decreases congestion at the gates, so genuine fans can get into the stadium faster. As well as improving security outside, the system allows staff more time to focus their attention on creating a safe and entertaining environment for those inside the stadium. Another issue important to address in the implementation was compliance with European Union GDPR. The Panasonic FacePro solution is very flexible and can be configured to delete or store data as required. To meet Brøndby IF’s requirements, data from the camera is encrypted and the data and images of people not on the blacklist are never stored. In addition, the details of banned individuals are encrypted and only stored on a server blocked from the Internet and all other external systems. Brøndby IF sought permission and approval on its approach to GDPR compliance from the Danish Data Protection Agency. Facial recognition system Mickel Lauritsen, Head of Security at Brøndby IF, said: “We can see that we have decreased the amount of flares being used within the stadium during our matches. It has been a success and it’s an absolutely vital tool in order to maintain safety and security.” Gerard Figols, Head of the European security business at Panasonic, commented: “Panasonic’s facial recognition system contributes to a safer stadium environment by alleviating security pressure on the ground, while ensuring that all data is protected from unauthorized external access." "The accuracy and processing capacity of Panasonic FacePRO means that it is ideal for soccer, and other sporting stadiums around the world, as well as many other venues where security and high visitor numbers are a factor. Besides the pure security factor, our facial recognition system can also help to enhance the customer experience by providing quicker, more streamlined access or tailored services.”

Haier Group, China’s home appliance manufacturer, has built a new industrial park in Russia to cope with the growing demand in Europe. Covering a total area of about 124.9 hectares, the new site is located in Naberezhnye Chelny, an important industrial city in Tatarstan, Russia. With the gradual completion of its factories in the industrial park, Haier is looking for an intelligent system to realize multiple tasks within the whole industrial park. First, to prevent theft and timely detect people climbing over the perimeter fence. Second, to provide comprehensive monitoring in the whole industrial park and inside the factory which includes: monitoring of production line and employees’ smoking behavior during working hours at office areas; efficient employee attendance; vehicle identification at the entrance and exit areas of the industrial park; and the overall management of all devices, data report output, etc. Intrusion detection The Dahua Russia team designed a complete smart solution incorporating AI cameras, perimeter cameras, ANPR system, access control, time attendance system, face recognition barrier, DSS PRO platform and EVS storage for Haier’s industrial park. Notably, all of the devices were integrated in one central management platform, making it easier for operators to control and manage the system. In addition, the system also supports further device upgrade based on customer’s future plan for the next several years. AI-powered perimeter protection function can greatly reduce false alarms caused by irrelevant objects To help Haier solve the first problem, Dahua 5MP WDR IR Bullet AI Network Cameras were chosen to safeguard the perimeter of the Haier industrial park. Featuring active deterrence, the cameras are able to proactively warn intruders to leave before users take action. Once an intrusion is detected, a white light will turn on, accompanied by a buzzer to warn off the intruder. Additionally, its AI-powered perimeter protection function can greatly reduce false alarms caused by irrelevant objects. The combination of advanced AI analytics and real-time alerts to a desktop or mobile clients reduces system requirements and resources, thereby improving the efficiency of the surveillance system. Smart IR technology The office areas and the interior of the washing machine factory are covered with Dahua 4MP WDR IR Dome Network Cameras, while public areas are monitored by 2MP 25x Starlight IR PTZ Network Cameras. As a member of Dahua Eco-savvy product family, the Dahua 4MP WDR IR Dome Network Cameras adopt upgraded H.265 encoding technology to provide starlight, Smart IR technology, as well as intelligent image analysis techniques. It saves bandwidth and storage, with energy-saving design to enhance monitoring performance of the system. With built-in Intelligent Video System (IVS) analytic algorithm, these dome cameras also support intelligent functions to monitor a scene for tripwire violations, intrusion detection, and abandoned or missing objects. In the future, it can respond quickly and accurately to events in the monitored areas. These cameras are equipped with smooth control, high quality image and good protection As for public areas, Dahua 2MP 25x Starlight IR PTZ Network Cameras have powerful optical zoom and accurate pan/tilt/zoom performance that can provide a large monitoring range and rich details. Through the latest Starlight technology, the cameras can achieve excellent low-light performance. In addition, these cameras are equipped with smooth control, high quality image and good protection, which meet the requirements of most industrial parks. Face recognition Dahua face recognition barriers were deployed at the entrance of the Haier industrial park and its office building, allowing quick and touchless passage of registered Haier employees without using employee cards or other identification documents. The system is based on a deep learning algorithm powered by AI, which compares facial images captured by the camera with those stored in the library to verify a person’s identity and grant permission. Access will be denied for unregistered people. The industrial park’s entrance and exit use 2 Megapixel Full HD AI Access ANPR Cameras to identify entering and exiting vehicles. Boasting a capture rate of over 99%, the cameras can automatically recognize the number plate of a vehicle in low speed less than 40 kmph, and capture vehicle data such as vehicle direction, vehicle size and vehicle color detection (in daytime) based on deep learning algorithm. Aside from these capabilities, the cameras can also control the barrier according to the whitelist set by users and let registered vehicles pass without stopping. The Dahua DSS PRO management platform integrates all cameras and the aforementioned devices At the management center, all the information collected by font-end cameras will be transferred to a 16-HDD Enterprise Video Storage. With Seagate HDD, the device offers unparalleled capacity performance for users to store massive videos and obtain evidence when needed. The Dahua DSS PRO management platform integrates all cameras and the aforementioned devices, allowing operators to easily control and manage the system. Up-to-date Dahua AI equipment Dahua Technology’s smart industrial park solution has assisted Haier in creating a modern intelligent industrial park in Russia. The up-to-date Dahua AI equipment provides Haier a long-term smart security system with upgraded security level and enhanced management efficiency. “The traditional personnel management system requires manual registering of employee information and cards to enter and exit office areas, which is inefficient and difficult to manage, and often high in cost. Upgrading the access verification system is crucial for modern companies like Haier in order to increase the security level of its industrial park and office building. We look forward to our future cooperation,” said Zhao Shengbo, Regional Director of Dahua CIS. “During the requirement discussion, solution design, and engineering survey, Dahua shows professionalism and excellent communication skills. Haier is satisfied with the first step cooperation and looking forward to the second step of the project,” said Liu Wei, Overseas Regional Project Manager of Haier Group.  

Established in 1976, Meghna Group of Industries (MGI) is a conglomerate in Bangladesh. MGI operates out of a large campus in Dhaka that houses its head office, 45 different manufacturing plants, and maintenance workshops, all under one roof. MGI has a turnover of over USD 3 billion, and an employee strength of over 30,000. Being an established and trusted group, it required operations to be suitably monitored, in order to ensure uninterrupted production, adherence to quality standards, and timely delivery of supplies to customers. So far, it had been monitored by manned security, with accompanying risks ranging from damage to assets, misuse of equipment, thefts, leakage of confidential information, employees’ safety, poor record keeping for vehicles entering or exiting the premises, and more. Providing investigation-Friendly monitoring software Enabling IVA at various locations has helped in the monitoring of infrastructure Designing of the solution started with a joint site survey by Videonetics, MGI IT heads, and the system integrator. After extensive research, Videonetics developed a unified solution encompassing Intelligent Video Management Software (IVMS), Intelligent Video Analytics (IVA), and a customized ANPR system to read and capture license plates in Bengali language. Key aspects of the solution included the following: Videonetics’s IVMS has been deployed to help in viewing and recording feeds from over 500 cameras installed in multiple factory locations. This is enabled over IP network in an efficient and elegant way. In addition, the solution provides investigation-friendly monitoring software at the front-end, while relegating all the complexity of the server software to the back-end. Enabling IVA at various locations has helped in the monitoring of infrastructure, vehicles, people, crowds and objects, for automatic detection and analysis of events of interest. Manned security to address safety The operators get a bird’s eye view of various sites from their centralized location, enabling them to respond quickly and effectively when an incident occurs. The solution has been installed on Red Hat® Enterprise Linux® which makes the overall system more secure and maintainable. Videonetics’s Automatic Number Plate Recognition (ANPR) system has been customized to read license plates in Bengali. Regardless of the lighting conditions, the Bengali ANPR accurately captures with timestamp the license plate of any vehicle as it appears in the camera’s field of view (FoV). The new implementation enables security operators to be deployed at the unified interface In addition, the system is integrated with the IVMS at the command and control center, for viewing and analyzing vehicular movements, and taking action, if required. THE IMPACT Prior to the installation of Videonetics’s solution, MGI used to rely on manned security to address safety, security and operational risks. However, the new implementation enables security operators to be deployed at the unified interface, for monitoring multiple sites such as assembly plant, warehouse, process, dispatch area, vehicle movement, and so on. Personal protection equipment detection So now, MGI operators can handle incidents of thefts, potential break-ins, unauthorized intrusions, and conduct investigations, without having to leave their desks. This has helped MGI in maximizing resources and significantly reducing costs. But the biggest benefit has been to be able to provide a safer environment to its employees, and to secure its workplaces with optimization in day-to-day operations. The open architecture of the solution allows MGI to continue adding, in a single interface, more AI & DL powered applications such as personal protection equipment detection, facial recognition, fire & smoke detection, workers slip/ fall detection, workers head count, vehicle movement management, to name a few. This makes it possible for the company to address all its security concerns with a holistic approach.

Use of iTrak solution by casino operators in both Macau and Las Vegas for reporting, security and loss prevention expands Omnigo’s global footprint. Omnigo’s security system “One of the major benefits of penetrating a market like Macau with Omnigo’s security system is that casinos can draw from a shared database of banned patrons, advantaged players, and VIP guests from Day One of implementation,” said Mark Kornegay, CRO of Omnigo Software. He adds, “Sharing data across properties enhances security and surveillance for everyone by allowing casino operators to exchange critical information with each other and with law enforcement.” Omnigo’s iTrak allows casino operators to protect their staff, patrons, property and assets while streamlining reporting iTrak security solution Omnigo’s iTrak allows casino operators to protect their staff, patrons, property and assets while streamlining reporting and data analysis. Casinos can function more efficiently using iTrak thanks to its simplified reporting and notification process. The system also empowers casino employees to leverage data-driven security intelligence to address incidents in real-time, track persons of interest and mitigate risk and exposure to liability. Various modules within iTrak include Facial Recognition, Visitor Management, Lost and Found and more. Security and risk management system In addition to the Macau expansion, Omnigo’s casino portfolio also includes 100% of the Las Vegas Strip casinos and 65% of the Canadian gaming market. Each casino uses iTrak, Omnigo’s security and risk management system for incident reporting, property surveillance and security and loss prevention. “It’s a true testimony that these casino operators have put their full confidence into Omnigo’s offerings to keep their properties safe. With that level of trust, we’re able to prioritize innovation and bring the latest technology like facial recognition software and advanced data analytics to market faster for our customers, both large and small,” Kornegay added.

Ciudad Ros Casares has become one of the most important business parks in Valencia, Spain. It is a unique commercial and residential construction, which responds to the new business and networking requirements. The intercommunication system chosen by the project managers is the MEET IP System from FERMAX, because of its high performance and integration features as well as the security offered by MEET. The system includes integrated access control in the standard panel: facial recognition (up to 6,000 users can be registered), numeric keypad and MIFARE proximity reader. The system includes integrated access control in the standard panel: facial recognition (up to 6,000 users can be registered), numeric keypad and MIFARE proximity reader Residential management software The project has a total of 245 apartments in 2 buildings, with two outdoor panels per building plus a concierge service managed with MEET's residential management software. The chosen outdoor entry panel is the MILO Digital Touch Panel and the 245 apartments are equipped with the MIO 7'' Monitor. The project is equipped with high technological features and qualities of different types, large leisure and green areas, general and specialized services and an excellent geo-strategic location. This commercial condominium includes offices, stores, a business center, spaces built to organizing events and apartments for rent. The installation of Fermax MEET system started in January 2019. Learn more about MEET by Fermax in this video:

The Danish Superliga football club Brøndby IF were aware that family attendance had fallen at some of the more high-profile games, such as the local derby with F.C. Copenhagen, due to concerns over hooliganism and safety. With an average attendance of 14,000 people per game, and up to 100 registered persons on the stadium blacklist for causing trouble, the football club wanted to find a way to make genuine fans feel safer by preventing problems before they could occur. Improving security With the use of cameras and facial recognition, blacklisted offenders can now be automatically identified in the crowd before they attempt to enter the stadium. This system identifies any individuals registered on the offenders list and alerts security staff to prevent them from entering. The automated procedure at the stadium entrance also decreases congestion at the gates, so genuine fans can get into the stadium faster. As well as improving security outside, the system allows staff more time to focus their attention on creating a safe and entertaining environment for those inside the stadium. The technology can identify faces that are difficult to recognise with conventional techniques Facial recognition server The Panasonic facial recognition software ensures high levels of accuracy. The technology can identify faces that are difficult to recognize with conventional techniques, such as those taken from an acute angle and even when part of the face is concealed or hidden by sunglasses or scarves. In fact, the National Institute of Standards of Technology (NIST) in independent testing identified the system as the most accurate facial recognition server on the market. And the system is already working. One blacklisted offender was prevented from entering the stadium at the very first home game of the season in mid-July and he will receive a fine and extended ban. Protection of personal data However, some fans were initially sceptical about the scheme. They were worried about the Big Brother concerns of privacy and personal data protection. These fears quickly faded once the club explained the sensitive way that the scheme had been implemented. Security personnel remain in control of the process at every stage. The technology flags potential blacklisted offenders and the security advisers then take over and investigate further before taking action. People-led and technology supported The solution is people-led and technology supported. Personal data privacy is also protected because the facial recognition technology does not store the images or data of any supporters, other than those registered on the blacklist. In addition, all personal data is stored on an internal server, not connected to the internet or to any other system, significantly reducing any cyber risk of data breach. After seeing the results of the technology and receiving reassurances about data protection, both Brøndby management and fans alike have welcomed the new technology. Moving forward there is also the potential to utilize a national hooligan register with the system to help spot traveling troublemakers within Denmark.

The new year comes with new opportunities for the security industry, but what technologies will dominate our discussions in 2020? Topics such as artificial intelligence (AI) and HCI (hyperconverged infrastructure) became familiar in conversations during 2019, and they are likely to dominate our thoughts again in the new year. But other buzzwords are also gaining steam, such as “blockchain” and “frictionless access control.” Connectivity and the cloud will also be timely technology topics as the industry evolves. We asked this week’s Expert Panel Roundtable: What technology buzz will dominate the security industry in 2020?

Public spaces provide soft targets and are often the sites of terrorist or active shooter attacks. Public spaces, by definition, require easy accessibility and unrestricted movement. Given that openness, what security technologies can provide real results? We asked this week’s Expert Panel Roundtable: How is technology innovation impacting the security of public spaces?

The role of video surveillance is expanding, driven by all the new ways that video – and data culled from video – can impact a business. As a growing population of video cameras expands into new fields of view, we asked this week’s Expert Panel Roundtable: What is the most unusual application of surveillance cameras you have seen recently?