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.
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.
Sunstone Systems and DETASAD are pleased to announce they have entered into a strategic partnership, combining Sunstone technologies and DETASAD’s world class experience as an end-to-end ICT solution provider and a leading contributor to ICT sector of Kingdom of Saudi Arabia with a track record of 37-years.
The Sunstone - DETASAD partnership brings together innovative clean technologies, which are deployed in tandem with DETASAD engineering and telecommunications services, providing remote surveillance and internet connectivity across highways, defense, transport and construction sectors in the Middle East.
Remote wireless networks
“This partnership is a powerful combination, together we can provide remote wireless networks anywhere in the region,” said Paul Schelhaas, CEO of Sunstone Systems. “Our systems are quick to deploy, can withstand incredibly high temperatures and generate significant amounts of power for WIFI and surveillance cameras. DETASAD are at the cutting edge of innovation and telecommunications services in the region and we believe our partnership will be truly transformative for a range of sectors and customers across the Middle East.”
DETASAD President & CEO Felix Wass commented ‘’We are excited about this partnership with Sunstone, a visionary in reliable, grid independent, rapid deployment wireless and CCTV solutions. Pre-integrated solutions with VSAT backhauling, Wi-Fi and 5G platforms combined with advanced AI based analytics and IOT enablers give our customers the flexibility to react to business needs. From the initial deployment, the business is provided with a 24/7 guaranteed SLA and online access to all operational data in a highly secure environment with all data complying with the local data sovereignty laws. This flexibility extends to commercial models including purchase as well as short and long term rent.”
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.
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.
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.
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.
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.
As we surpass 2019, it’s high time we realize that by merging the digital and physical realm, IoT is destined to change the way we live and work.
I have always been interested in the intersection between business and technology, and today it seems that the brave new technological world we have been dreaming over centuries has arrived. With everything from home appliances to smart vehicles, portable devices are connected to the internet and exchange crucial data. According to the statistics, there are 26.66 billion IoT connected devices around the globe. Which statistically leaves every citizen of the world with at least 3 devices.
IoT in every day life
I must say the numbers are quite mind-boggling! And this leaves a lot of room for improvement by incorporating the Internet of Things in software development; whether it’s a cellphone app or web.
According to the statistics, there are 26.66 billion IoT connected devices around the globe. Which statistically leaves every citizen of the world with at least 3 devices It may interest you to know that the Internet of Things has the potential to touch every domain and nearly every aspect of human life. According to sources, impact on IoT leads to:
By 2020, 50 billion devices are expected to connect to the internet
In 2015, 3.5 connected devices per person have now reached almost 7
8 billion cellphone broadband access points by 2019
5 million IoT jobs by 2020
70 percent a year growth through 2018 in total sales of clothing and accessories incorporating computer technology, rising from $3 billion today to $42.5 billion
$3.3 trillion market for ‘Smart City’ applications and services by 2025
The impact of smart homes
Instead of saying the home is where our heart is; a home is where a bot is. However, IoT hasn’t entirely arrived in our homes. I mean, we are still required to order groceries the minute we run out of eggs and Greek yogurt. Slowly and steadily we are getting there; it seems the latest advancements in artificial intelligence and big data analytics will definitely work wonders for us.
Smart homes are no longer a dream project; we can soon expect everything to be governed by the “brain” or a central platform. Moreover, bots will be seen tackling a certain set of functions related to more difficult tasks, and lastly niche bots, in charge of single tasks such as vacuuming the house or addressing more complex duties like accounting, coaching or household managing. Tech giants, or should I call them current development frontrunners like Amazon, Google, Samsung and Apple are expected to come up with something nerve-cracking.
The benefits of IoT
Other than this, with IoT, you will be able to work smarter and not harder. Artificial intelligence and advanced analytics can help create a more intelligent work environment. For example, the right AC temperature in shared office spaces help us book the most convenient meeting room, and moreover, take into account the room preference by setting the right temperature, lighting, and can automatically restock office supplies.
This simply leads to:
More efficient office operations
Comfortable work environments
Consequently increased employee productivity
The dark side of the Internet of Things
The potential risks
Every technology indeed comes as a boom, but that doesn’t mean the grass will be greener on the other side. Furthermore, we will uncover how even after offering so much convenience why IoT poses so much risk. Like I said before, IoT can be integrated into anything from coffee machines to fitness watches leading to make our lives more convenient. But what happens if they turn bad? When being unwillingly infected or hacked, these blessings can certainly turn into huge threats.
IoT can be integrated into anything, leading to make our lives more convenient
Devices, systems and the lack of security
It may interest you to know that IoT devices can become bots that blindly follow commands to commit crimes as part of a botnet. What is a botnet, you may ask? Well, it is a network of infected devices that are mainly abused by the attacker to perform tasks such as carrying out DDoS attacks, Bitcoin mining and spreading spam emails. Mainly being used to carry out DDoS attacks and to mine for cryptocurrencies, these botnets have the potential to have a larger impact by making IoT devices do much more, such as send spam messages featuring dangerous malware. Botnets can also carry out click-jacking campaigns, distribute fake advertisements, and even worse, infect other IoT devices.
Botnets can also carry out click-jacking campaigns, distribute fake advertisements, and even worse, infect other IoT devices Much like most malware, botnets can be found on dark marketplaces. The source code can be purchased and leaked, depending on the type of service. In case, an IoT device is already infected, another bot can attempt to replace the infection with its code and in some cases also "repair" the security vulnerability. But most of the time it fails! No matter how innocent these proof-of-concept attacks may seem, one cannot deny the fact that IoT devices and systems aren’t properly secured. Hackers can easily gain control of them and cause complete chaos like never before.
Collecting information at a cost
But how much information can an IoT device collect? What I mean is that by hacking a webcam, one can see what they are pointed at without you even knowing it, smart TVs and personal assistants can pick up sound, and smart cars can give clues to whether or not someone is home. Honestly, the amount of information collected on these IoT devices cannot be determined at any cost. And with everything in the cloud, such information can be intercepted or rerouted to a malicious server and be abused if not properly secured.
The more we surround ourselves with IoT devices, the more motivation cybercriminals receive to target us! With the time passing by, let’s simply hope that connected device security will dramatically improve.
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.”
Technology is expanding passenger screening functions and other capabilities at airport security checkpoints. For example, Smiths Detection is exploring the concept of a security checkpoint that integrates biometric identity management with screening solutions, says Richard Thompson, Global Market Director Aviation, Smiths Detection.
Biometrics is the “unique identifier’” for passengers, and through integration of biometrics directly into the checkpoint, passengers can be matched with their luggage trays to enable real-time risk-based screening (RBS). The system is now able to trigger differentiated workflows for each passenger and their bags.
Risk-based screening optimizes security operator resources through enhanced screening of passengers who represent a higher risk, while passengers deemed to be low risk enjoy a more seamless journey.Passengers deemed to be low risk enjoy a more seamless journey
Easily integrated with existing infrastructure, biometric checkpoints deliver operational efficiencies and a competitive advantage to airports through accelerating the screening process, thus enabling a more seamless free flow of passengers.
Passenger and tray identification
Through passenger and tray identification, new data insights can also be gathered to inform decision-making. Advanced data analysis based on flights, airlines or destinations could be utilized by airlines and security authorities.
For example, airlines could monitor passenger flow through security for specific flights or track the number of trays per flight to predict overhead compartment capacity. Checkpoint data could also be combined with hold luggage screening results or shared with transit and arrival airports to better inform security assessments.
Advanced data analysis based on flights, airlines or destinations could be utilized by airlines and security authorities
Advanced screening of carry-on baggage
Smiths Detection’s HI-SCAN 6040 CTiX offers advanced screening of carry-on baggage using Computed Tomography (CT), an advanced X-ray technology originally intended for medical applications, which allows for detailed, layered 3D images to be rotated and dissected. Electronic devices and liquids do not need to be removed from baggageThis enables detailed detection, meaning electronic devices and liquids do not need to be removed from baggage, thus expediting screening and further improving the passenger journey.
Smith Detection’s iLane.evo is an automatic tray return system. By delivering a steady flow of trays, it plays a critical role in streamlining the screening process and delivering increased throughput; optimized operational costs; and an improved passenger experience.
AI for Object Recognition
In other trends, the use of artificial intelligence (AI) in aviation security is on the rise due to the exponential growth in computing power. It has the potential to significantly boost the performance of screening equipment – allowing for the deployment of new object recognition functions at the checkpoint, which could pave the way for a more automated, alarm-resolution-only passenger screening. Smiths Detection has developed a family of smart algorithms, called iCMORE, which use machine learning to reliably detect prohibited or dangerous goods in baggage, including weapons, to reduce the burden on image analysts and improve screening outcomes.
As security embraces IT-centric solutions, it can provide business value over and above security. Now in charge of managing a variety of data – e.g., from video platforms – a company’s security function has access to a range of new metrics.
While security may use video to analyze a security event, machine learning can analyze the same data for other business capabilities, such as quality control or when a policy has been breached. “It’s the same camera, but with dual purpose,” says Matt Kushner, President of STANLEY Security.
STANLEY Security, one of the largest integrators with a global footprint, has positioned itself at the center of the industry’s transformation by information technology (IT) and the Internet of Things. “Security will become an expanded business partner with corporations,” Kushner comments. In response to the trend, STANLEY is hiring more IT-oriented technicians and salespeople within the IT community and who can “speak at the C-level,” Kushner comments.
Sonitrol is the most recognised brand by law enforcement for verified response
Data centers, higher education and logistics
STANLEY manages very large, multi-national clients. As a consequence, the STANLEY security organization has some of the best and brightest minds for enterprise-class security. To maintain that level of talent, STANLEY is committed to education. “We bring them into the family and focus on education, such as IT and IoT training. That’s critical in a world where unemployment is less than 3%. Finding good people, growing good people, and retaining good people – we do that exceptionally well at STANLEY,” says Kushner.
STANLEY’s strong vertical markets including data centers, higher education, and logistics. They are also strong in multi-location installations (such as banking.) STANLEY has a big footprint throughout North America and Europe.
PACOM access control and 3xLOGIC cloud-based solutions
In addition to STANLEY’s core integrator business, the company also manages several manufacturing brands such as PACOM access control and 3xLOGIC cloud-based solutions. Mergers and acquisitions have been commonplace in the integrator spaceBeyond its company-owned integrator locations under the STANLEY brand, the company also owns Sonitrol, the strongest brand in the market for verified response with 65 franchises in North America. Sonitrol is the most recognized brand by law enforcement for verified response.
Mergers and acquisitions have been commonplace in the integrator space, and Kushner says that STANLEY is “open and actively looking for properties that fit our commercial growth strategy.” He notes that STANLEY focuses on the commercial side of the market, where there are good margins and continuing growth. They pay less attention to the residential side which is “being heavily disrupted.”
Strong partnerships with manufacturers
STANLEY has strong partnerships with several manufacturer partners, through which they bring new breakout technologies to market from emerging companies. An example is Evolv Technology, a manufacturer of gun and bomb detection technology. “We see them as a leading provider of the technology, and they are, in my mind, a very disruptive provider,” says Kushner. STANLEY is also collaborating with a company – to be announced – that provides a unique gunshot detection technology, he says.
STANLEY is also cooperating with dormakaba to implement Switch Tech, a Bluetooth wireless core that can replace any standard mechanical lock core. Existing locks can be transformed into electromechanical locks in minutes. STANLEY is also developing a tight integration with Lenel’s mobile credentialing system.
STANLEY is also cooperating with dormakaba to implement Switch Tech
GSX 2019 and ISC West 2020
At the recent GSX 2019 show in Chicago, Kushner says STANLEY heard a lot about cybersecurity, especially customers wanting to make sure they are investing in cyber-hygiene and who are looking to expand into providing cyber protection. “In concert with cyber-hygiene, they are looking for health monitoring or assurance that network devices are operating properly,” he says. “They want to ensure their security platforms are cyber-secure and up to date with the latest software versions.”
STANLEY is also a big proponent of cloud offerings, and Kushner hints at a big announcement at the upcoming ISC West show in Las Vegas of additional cloud offerings and/or partnerships. “There will be a variety of new solutions to be introduced, including hosted solutions and applications that benefit both security and that add new value to businesses overall.”
Videonetics has supported Nagpur in achieving the Smart City status, under the Smart City Mission of Government of India, by securing its roads with an AI & DL powered Intelligent Traffic Management Solution. The solution has helped the city to solve its traffic enforcement problems such as red light jumping, crosswalk/ stop line violations, over speeding violations, tracking of suspect/ stolen vehicle, and generating e- challan/ e ticket for violators as per the Motor Vehicles Act. It includes applications like Automatic Number Plate Recognition (ANPR), Red Light Violation Detection (RLVD), Integrated eChallan Management Software.
With the successful implementation of the solution, Nagpur has witnessed greater traffic discipline and substantial decrease in traffic violations. More efficient traffic management has helped the city achieve its Smart City objectives.
Intelligent Traffic Management System
Nagpur has witnessed a rapid rise in the number of vehicles, and also in traffic violations and road accidents
Over the last few years, Nagpur has witnessed a rapid rise in the number of vehicles, and also in traffic violations and road accidents. The city administration recognized the need to enhance road safety, and the traffic police department sought a solution that would act as a true decision support system to regulate and analyze vehicle movement on roads. In addition, the police expected the solution to assist them in maintaining law and order, to identify frequent offenders as well as stolen/ suspect vehicles, as and when they enter the city.
With the city needing to enhance its road safety even as it was expanding, Videonetics designed a solution based on its Intelligent Traffic Management System that provides continuous monitoring of the traffic situation, records traffic violations at intersections, and triggers necessary penal action against violators.
Manage real-time alerts
24x7 real-time monitoring: Today, the city has ANPR and RLVD systems spread across 120 traffic junctions, to track and record license plate of any type of vehicle, as well as detect red light or stop line violation at intersections. Nearly 1,300 IP cameras have been deployed, to monitor vehicle movement and detect suspect vehicles simultaneously.
Violation prosecution: Videonetics’s Integrated e-Challan/e-Ticket Management Software has been assimilated with Regional Transport Office database, to fetch the details of a vehicle and its owner. Once a violation is detected, an e-challan is issued to the offender. The e-challan also maintains a record of all payments, both received and pending.
A centralized security view: The solution provides the police a bird’s eye view of the traffic junctions and city’s roads, from the Command & Contro Center. From the unified interface, security operators can view, manage real-time alerts and respond them swiftly.
City surveillance system
Prior to the installation of Videonetics’s Smart City solution, Nagpur city relied on on-site traffic monitors/ police to catch offending vehicles. However, the recent implementation of the solution has eliminated the need for physical deployment of traffic police at each junction. Videonetics’s solution helps maintain the security on city’s roads by detecting and recording traffic violations with accuracy, resulting in irrefutable evidence for local authorities.
In addition, citizens have started obeying traffic rules, resulting in an over 50% reduction in traffic violations. The open architecture of the solution not only allows the city to continue adding more applications to make its traffic management more robust, but also integrate with the city surveillance system in a single unified interface, to address security concerns with a holistic approach.
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.
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.
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.
Brienon-sur-Armançon is a city in the Burgundy-Franche-Comté region of north-central France, with a population of about 3,300. Located at the intersection of two rivers – Créanton and 'Armançon, Brienon-sur-Armançon enjoys an advanced road network which is vulnerable to illegal activities. To make the city safer, the local government, with far less than sufficient police force at hand, chose to secure its city and residents with Dahua Safe City Solution.
There were two main pressing issues that needed to be addressed. Firstly, the city had far less than insufficient police force, only one policeman was supposed to look after the whole 3,300 dwellers. Secondly, Brienon-sur-Armançon had not prepared itself with necessary cables needed for modern surveillance systems, requiring the Dahua Team to design a tailored solution according to the unique local environment and limited human resources of this city.
Wireless transmission device
This solution aids them in obtaining video recordings that can be used as evidence in case of an incident
To make up for the shortage of police force and network cables, Dahua Technology delivered a customized solution covering the whole city with various kinds of video surveillance devices. These equipment are linked by a wireless device combining PTZ camera and antenna that transmits all the collected information to the highest point in the city center. These data are then transmitted to the control center, making it easy for the police to achieve round-the-clock monitoring.
To monitor major sections of the city, an array of modern devices were utilised including Starlight IR PTZ AI Network Camera, Multi-Sensor Panoramic Camera, Eyeball Camera, Thermal Camera, ANPR Camera, Wireless transmission device, keyboard, etc. From the control center in the police station, the police can check real-time situation and decide whether to take action. This solution also aids them in obtaining video recordings that can be used as evidence in case of an incident.
Vehicles trigger detection
In addition, the combined strength of the Dahua general camera and PTZ camera created a smart capture mechanism for the police. General cameras were installed to monitor fixed scenes, once human or vehicles trigger detection rules set by the operator (like tripwire and intrusion), the PTZ camera will automatically zoom-in and start tracking. For low-light applications, the Dahua Starlight Technology of the PTZ camera also offers outstanding light sensitivity, capturing color details even under ultra-low light condition.
Moreover, ANPR Cameras were deployed for road safety enforcement on main roads. Embedded with License Plate Recognition (LPR) algorithm, the cameras have the ability to detect and recognize moving vehicle's plate number within low speed. Furthermore, installing Thermal Cameras took care of the job of monitoring the BBQ sites in the park with their built-in fire detection functionality that can detect fires even at long range distance.
Effectively monitor major areas
The police has solved a cemetery theft case with evidence recorded by the Dahua PTZ cameraWireless transmission device made it possible for all cameras in all locations to connect to the control center without the cost and trouble of wiring. NKB 5000 HD Network Control Keyboard was installed in the control center to help the police achieve split screen operation of both general and PTZ cameras. Some Seagate hard disks were also used to store recorded videos for future use.
The Brienon-sur-Armançon police can now sit remotely in the control room and operate in an efficient way with the help of Dahua Safe City Solution, which allows them to effectively monitor major areas in the city and respond in time when an incident takes place.
Dahua PTZ camera
The recorded videos also serve as crucial evidence and help the police to crack a case with much less effort. In the first week of the test run of this smart system, the police has already solved a cemetery theft case with evidence recorded by the Dahua PTZ camera.
“The origin of our cooperation with Dahua dates back to the visit to China a year ago. This visit to the Dahua headquarters in Hangzhou concluded with a reciprocal commitment – to equip the city of Brienon with video surveillance. We welcomed this agreement, which allowed the installation of the system and improved the daily life of our residents.” said Mr. Jean-Claude M.CARRA, Mayor of Brienon-sur-Armançon.
With the opening of the new Thomson Nature Park, Singapore, the National Parks Board (NParks) recently unveiled a new system to help detect wildlife crossing the roads between forests and provide real-time warning messages for approaching vehicles, so that the vehicles can slow down and let the animals safely walk onto the other side (The Strait Times).
IronYun AI NVR Animal Detection solution
IronYun AI NVR Animal Detection is the solution that NParks has selected to realize the system
IronYun AI NVR Animal Detection is the solution that NParks has selected to realize the system. On one hand, AI NVR uses deep learning AI models to accurately recognize animals versus vehicles and people via camera feeds on the roadside. On the other hand, AI NVR integrates with signage systems to trigger the appropriate alerts when such animals are detected.
Wildlife protection program:
“Thomson Nature Park (TNP) is a 50-hectar (124-acre) green space to buffer between the eastern forests of the Central Catchment Nature Reserve and the new infrastructure developments. TNP is separated from the Nature Reserve by a 3-km-long Old Upper Thomson Road, on which visitor cars frequently travel. Animals, however, do not recognize manmade geographical boundaries”, said NParks Director for Conservation, Sharon Chan, and thus often walk across the road from the forest into TNP and vice versa to forage for foods and find mates.
Animal-vehicle collisions have occurred because the cars and motorcycles cannot see the animals and stop in time. Meanwhile, biodiversity surveys have indicated that many native animals, including critically endangered species such as the Raffles' banded langur and the Sunda pangolin often cross this road.
Several measures have been implemented to protect the animals, including:
Aerial crossing: a rope ladder and a single rope crossing along the Old Upper Thomson Road to help canopy-dwelling animals crossing overhead
Culverts: five culverts to help ground-dwelling mammals crossing underground
Reducing traffic: turning Old Upper Thomson Road from a dual-lane road to a single-lane road in June 2018; plans to close the road to vehicles between 7:30 pm – 6 am daily in the future
Roadway animal detection system: a combination of IronYun AI NVR, cameras, and signage to alert vehicles to slow down from afar when an animal crosses the road
In particular, the roadway animal detection system is co-funded by NParks and the Land Transport Authority (LTA) to reduce animal-vehicle accidents. At the heart of the system is IronYun AI NVR.
AI technology for wildlife protection
The system is guaranteed to recognize a human versus an animal versus a vehicle
AI NVR is a deep learning video analytics solution, which can distinguish several types of objects, including vehicles (car, bus, motorcycle, etc.), people, manmade objects (backpack, suitcase, etc.), and animals. IronYun engineering teams train the AI models using thousands of hours of video data to ensure high accuracy, so the benefits are two-fold:
No false alarms: the system is guaranteed to recognize a human versus an animal versus a vehicle. As an improvement compared to legacy sensor-based systems, motions caused by tree branches swaying, people walking/biking, cars driving by, etc. do not trigger any alarm. In this case, only an animal crossing the road would trigger an alarm.
Easy to use: no calibration to the environment is required. The model is pre-trained and ready to use from day 1.
AI Network Video Recorders (NVRs)
The LTA and NParks users set the alert rule so that when an animal appears, AI NVR recognizes, records the metadata and triggers lights to flash under a sign that reads ‘Animals Ahead’, all within 3 seconds. The car sees the flashing light and slows down, allowing the animals to reach safety.
The unintrusive monitoring and alert system AI NVR has proven useful
The current system supports 5 cameras along Old Upper Thomson Road. The system was announced on October 11, 2019, and is a year-long pilot project in the joint effort of LTA and NParks to protect wildlife in Singapore national parks.
Unobtrusive and alert video system
While the rope crossing and culverts help providing the animals safe alternative travel routes, Dr. Andie Ang, a primate scientist and chair of the Raffles’ Banded Langur Working Group, has commented that it would take time for animals like the Langurs to get used to artificial structures, so long-term monitoring is necessary.
Therefore, the unintrusive monitoring and alert system AI NVR has proven useful. According to LTA Chief Executive, Ngien Hoon Ping, “Joint efforts, such as the one on the roadway animal detection system, help us understand how technology could be deployed to achieve our aims.”
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?
Video storage is an important – and expensive – aspect of almost any surveillance system. Higher camera counts equate to a need for more storage. New analytics systems make it easier for operators to manage video, but that video must be dependably stored and easy to access if and when it is needed. To keep up to date on the latest developments, we asked this week’s Expert Panel Roundtable: What’s new in video storage solutions?