Video Surveillance software - Expert commentary

Fighting Illicit Trade With Artificial Intelligence
Fighting Illicit Trade With Artificial Intelligence

AI has opened doors to many transformation opportunities and increasingly minimised many risks  -- personal and economic -- that are alarming today. And illicit trade is one of those pains AI can offer a promising solution against. Illicit trade is a serious threat and problem that affects governments and societies on every level. While governments lose financial funds in tax revenues, thriving businesses are losing potential customers, and customers are getting tricked into purchasing counterfeit, low-quality products. Transnational organized crime generates revenue of $2.2 trillion through transnational criminal organizations, complicit corrupt facilitators, and other threat areas. The list of criminal activities is long and involves such horrific crimes as trafficking of narcotics, opioids, arms, humans, fake medicines and other counterfeit and pirated goods; illegal tobacco and alcohol; illegally-harvested timber, wildlife, and fish; pillaged oil, diamonds, gold, and other natural resources and precious minerals; stolen antiquities; and other contraband or valuable items sold across streets, social media, online marketplaces, and the dark web. In short, illicit trade is a contributing cause to large-scale insecurity and instability across markets. AI-driven technologies Here is where revolutionary AI-driven technologies come in, with their capability to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future. There are a few ways that AI can support the ongoing fight against illicit trade on a global scale in a tangible way. Transnational organized crime generates revenue of $2.2 trillion For financial transactions at risk of fraud and money laundering, tracking has become an increasing headache if done manually. As a solution to this labour-intensive process, AI technology can be trained to follow all the compliance rules and process a large number of documents -- often billions of pages of documents -- in a short period of time. Among these documents widely in circulation, most have an unstructured and inconsistent format -- from invoices to insurance documentation -- are a complex system to tackle; in this whirlwind of pages, the likelihood of non-compliant and misrepresented figures to go by unnoticed. But this is also where AI can thrive as solutions become a necessity, enhancing humans’ capabilities of identifying fraud risks in the early stages. Relying on natural language processing, the technology can begin interpreting the text from the scanned and digitised documents in order to process trade information at high speed. In this context, AI-powered solutions are capable of comparing, contrasting document information and identify anomalies worth looking into further. By automating a large portion of the process, AI-driven technology allows the staff to focus on more pressing, high-involvement issues that require human judgement while saving time on the time-consuming manual work of analyzing documents by hand. Identifying covert interactions between criminals As criminal networks become increasingly intricate in their illegal operations, cutting-edge AI technology is crucial in the battle against it. In 2019, EU launched a project with the goal to deploy advanced AI technology and robots to identify smuggling across the borders of Portugal, Estonia, Italy, Greece, Bulgaria, Romania and Hungary.  With the help of AI, it will be possible to send drones and autonomous vehicles to the most dubious border areas in order to enforce border control and detect smugglers quickly and efficiently. Illicit trade triggers a chain reaction of negative impact across industries, governments and individuals The issues the EU is trying to address through the project include drug and weapon smuggling, as well as human trafficking. From tight border control tracking crossings to communication monitoring to identify covert interactions between criminals on both sides of the border, the project is one among many that will expand the scope of solutions to the illicit trade problems today. AI’s contribution is significant on many levels: from predicting crime and threats to safeguarding public health and safety (in face of human trafficking, counterfeit medicines, and toxic products), these are simply inklings of major shifts that AI technology promises for the future of the battle against illicit trade. So why is fighting illicit trade so crucial? Here are a few reasons why AI’s role in fighting this global issue is crucial. In a world where customers run the risk of being deceived and tricked into buying counterfeit products, companies who provide the original products suffer through the loss of revenue and market share. The same companies are also robbed of their intellectual property and proprietary data. Furthermore, people who are employed in these companies run the risk of losing their jobs as a result of revenue and market share loss. And finally, the last straw is the loss of brand integrity and reputation to the need to compete with low-quality, sometimes even dangerous counterfeit products. Just like a domino effect, illicit trade triggers a chain reaction of negative impact across industries, governments and individuals. And it’s time for AI to step in and stop it.

Edge Computing, AI and Thermal Imaging – The Future of Smart Security
Edge Computing, AI and Thermal Imaging – The Future of Smart Security

Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. With 4K-compliant cameras projected to make up over 24% of all network cameras shipped by 2023 – there is a fast-growing desire for reliable storage on-board security cameras. The question for businesses is: do they look to break up their existing smart video network, by separating and compartmentalising cameras to handle data requirements, or do they increase its storage capabilities? As some people begin to venture out and return to work following initial COVID-19 measures, we are also seeing demand for thermal imaging technology increase. New technology like this combined with more of these always-on systems being rolled out, means organizations will need to carefully consider their smart video strategy. Newer edge computing will play an important role in capturing, collecting, and analyzing data and there are some key trends you can expect to see as a result of this evolution. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyze it and deduce a lot of valuable information in real-time, instead of post-event. Edge computing and smart security As public cloud adoption grew, companies and organizations saw the platform as a centralized location for big data. However, recently there’s been opposition to that trend. Instead we are now seeing data processed at the edge, rather than in the cloud. There is one main reason for this change in preference: latency. Newer edge computing will play an important role in capturing, collecting, and analyzing data Latency is an important consideration when trying to carry out real-time pattern recognition. It’s very difficult for cameras to process data – 4K surveillance video recorded 24/7 – if it has to go back to a centralized data center hundreds of miles away. This data analysis needs to happen quickly in order to be timely and applicable to dynamic situations, such as public safety. By storing relevant data at the edge, AI inferencing can happen much faster. Doing so can lead to safer communities, more effective operations, and smarter infrastructure. UHD and storage AI-enabled applications and capabilities, such as pattern recognition, depend on high-definition resolutions such as 4K – also known as Ultra High Definition (UHD). This detailed data has a major impact on storage – both the capacity and speeds at which it needs to be written, and the network. Compared to HD, 4K video has much higher storage requirements and we even have 8K on the horizon. As we know, 4K video has four times the number of pixels as HD video. In addition, 4K compliant video supports 8, 10, and 12 bits per channel that translate to 24-, 30- or 36-bit color depth per pixel. A similar pattern holds for HD — more color using 24 bits or less color using 10 or 12 bits in color depth per pixel. Altogether, there is up to a 5.7x increase in bits generated by 4K vs. 1080 pixel video. Larger video files place new demands on data infrastructure for both video production and surveillance. Which means investing in data infrastructure becomes a key consideration when looking into smart security. Always-on connectivity Whether designing solutions that have limited connectivity or ultra-fast 5G capabilities, most smart security solutions need to operate 24/7, regardless of their environment. Yet, on occasion, the underlying hardware and software systems fail. In the event of this, it is important to establish a failover process to ensure continued operation or restore data after a failure, including everything from traffic control to sensors to camera feeds and more. Consider the example of a hospital with dozens or even over a hundred cameras connected to a centralized recorder via IP. If the Ethernet goes down, no video can be captured. Such an event could pose a serious threat to the safety and security of hospital patients and staff. For this reason, microSD cards are used in cameras to enable continuous recording. Software tools – powered by AI – can then “patch” missing data streams with the content captured on the card to ensure the video stream can be viewed chronologically with no content gaps. Thermal imaging Health and safety is the number one priority for all organizations as people return to work and public spaces. Some organizations are deploying thermal imaging to help screen individuals for symptoms as they return. Organizations that operate with warehouses, depots and assembly lines will traditionally have large amounts of cameras located outside of the entrance. With thermal imaging smart video in place, these cameras can now serve a dual purpose as a screening device. The thermal imaging technology is capable of detecting elevated body temperatures, with 10-25 workers being scanned in one shot, from one camera – making it an efficient and accurate process. This way, staff can use the information to help identify people who may need further screening, testing, and/or isolation before returning to work. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices While this may not increase data storage requirements, it can change your retention policies and practices. Smart security today is about utilising AI and edge computing, to deliver an always-on, high-resolution video provision that can help keep people safe 24/7. These trends increase the demands and importance of monitoring, which means requirements of the supporting data infrastructure improve to match that, including the ability to proactively manage the infrastructure to help ensure reliable operation. Companies need to make sure they have considered all the storage and policy challenges as part of their smart security strategy for the future.  

The New Marriage Between AI and Stadiums
The New Marriage Between AI and Stadiums

Stadiums around the world are still paralyzed from the effects of COVID-19. Fans and spectators in masses have been absent from stadiums since April and there doesn’t seem to be a concrete plan on how or when they’ll be able to return to near capacity. The NBA recently opted to form a bubble philosophy concept in Disney’s facilities, although it’s been a relative success, it’s also been a $200 million temporary solution. This then begs the question: How long can stadiums survive like this without spectator’s present? History tells us that stadiums, venues and sport recover from disasters, so what can stadiums do to speed up the process? This is the catalyst for AI to be integrated on mass level to stadiums around the world. AI is the answer AI’s role in getting fans and spectators back is huge, through capabilities such as: Social Distance Monitoring Crowd Scanning/Metrics Facial Recognition Fever Detection Track & Trace Providing Behavioural Analytics Technologies such as IREX.ai is now working alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras. This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. Stadiums around the world are still paralyzed from the effects of COVID-19 AI surveillance software such as IREX.ai when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. Crowd metrics Arming stadiums with AI-powered surveillance tools can detect crowd metrics such as “people counting” and “group statistics”. This ensures stadium personnel can monitor social distancing with precision, accuracy and immediately. Alerts can be set up throughout parts of the stadium to alert senior staff members when overcrowding can appear with real time videos, analytics and photos to their hand-held device, such as a smartphone. Fever detection Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures. What IREX.ai implements is an alert system, coupled with facial recognition of any individual(s) that read an elevated body temperature. This alert system then provides security and health officials with a photo of the individual with the elevated body temperature, meaning staff can react quicker to the situation prevent this individual from entry. Pandemic monitoring by facial recognition  Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures Through facial recognition, staff members will be able to locate individuals through simply uploading a photo. It has never been easier to find a person of interest. With masks becoming an everyday part of society, facial recognition has come under scrutiny regarding the accuracy when a mask is worn. Irex.ai still maintains a 96% accuracy with individuals wearing masks and can set up alerts for any individuals not wearing a mask. Another important aspect of facial recognition is finding persons of interest quickly through technology like IREX.ai’s “searchveillance”. The future is here. Designated staff can track a person from when they enter the stadium by simply uploading their photograph. An example of how this can assist stadium personnel is to help relocate lost children inside the stadium with their guardians/parents when they are separated. Another attribute would be any individuals banned from entering the stadium would trigger alerts once they appear under surveillance, a fantastic collaborative tool to use with Law Enforcement.    Return on investment With security solutions, one of the biggest issues with any security investment is a lack of an ROI. This is where AI security is breaking the mould. The ability to provide business analytics, consumer/fan behaviours, traffic patterns, etc, allows other departments within the organization to gain vital information that can assist with their strategies and practices. Stadium security will never be the same in a post-COVID world, so why will its practices stay the same? AI & Stadiums is no longer the future, it’s the 2020 solution.

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Eagle Eye Networks Publishes A Whitepaper Focusing On Smart City Engineering And Architecture
Eagle Eye Networks Publishes A Whitepaper Focusing On Smart City Engineering And Architecture

Eagle Eye Networks, a pioneer in cloud video security, publishes their latest whitepaper ‘Smart Cities: Cloud Video for Connected, Secure Cities.’ A valuable resource for city leaders looking to build a smart infrastructure, the paper delves into applications, public use, key technology requirements, and smart city engineering and architecture. “Recent successes have shown that cloud-based solutions are indispensable elements of smart city infrastructure, which includes both public and private infrastructure elements,” explains Ken Francis, President of Eagle Eye Networks. Cloud-Based deployments Eagle Eye Networks is proud to partner with city officials around the globe to accelerate innovation and deployment “Cloud-based deployments are essential for cost-effectiveness, scalability, and short deployment timeframes. Eagle Eye Networks is proud to partner with city officials around the globe to accelerate innovation and deployment timeframes by building a cyber secure, open, cloud-based security foundation for their cities.” The whitepaper outlines 11 key requirements of smart city technology initiatives, including: Intelligent Connectivity – City leaders must develop a sound networking plan for any proposed project, verifying the infrastructure capabilities and documenting the planned intelligent use of existing network infrastructure and any new infrastructure to be added as part of the project. Simple Scalability – Explore the future vision of the smart city infrastructure and document how the modern solution being proposed will satisfy current needs and also be both expandable and manageable for future growth. Device and System Inter­op­er­ability – Ensure the immediate interoperability requirements have all been identified. Work out and document how they will be addressed by current product capabilities or near-term vendor roadmap items. Open Systems Architecture – Don’t just conform to smart city planning, but contribute to it – especially for strategic infrastructure design and elevating citizen and visitor experiences. Actionable Data and Analytics – Security technology service providers should consider the many opportunities that are appropriate for a city seeking to improve the smart city venue. Finally, join Eagle Eye Networks at Smart City Live 2020, November 17 and 18. The worldwide native digital event for cities is hosted by Smart City Expo World Congress.

Dahua Technology To Host Dahua Technology Partner Day 2020 Online With 26 Technology Partners
Dahua Technology To Host Dahua Technology Partner Day 2020 Online With 26 Technology Partners

Dahua Technology, a renowned video-centric smart IoT solution and service provider, will hold its online Dahua Technology Partner Day 2020 on 1st of December. The event will be a perfect occasion to get a taste of the Dahua ECO system in the EMEA region. 26 technology partners will bring solutions in the field of security and IoT. Smarter Together is the central theme of the Dahua Technology Partner Day 2020. A total of 26 distinguished Dahua partners will gather to share their knowledge and expertise on the development of security and IoT applications for a variety of vertical markets. This online event will serve as a technological and commercial hub for end-users and system integrators from different markets, ranging from Logistics, Traffic and Infrastructures to Healthcare, Retail and Residential. Attendees can Register free of charge and tune in to all the partner keynotes. Explore business opportunities In the partner hub, participants can chat with technology partners, explore business opportunities or technical challenges and get the latest product information. The event will kick off with an opening speech by Mr. Jason Zhao, Dahua VP & General Manager of Overseas Business to introduce how Dahua Technology and its technology partners become smarter together. 26 Partners will showcase their solutions in a main auditorium and six different break out rooms, including Axxonsoft, Qognify, Ivideon, TechnoAware, Vaelsys, A.I. Tech, Optex, Eagle Eye Networks who joined in the 2019 offline partner day and gained much exposure and business opportunities last year. Global security industry We are moving the Partner day to an online event in order to sustain the opportunity of getting together" Integrated solutions developed by both Dahua Technology and its partners will be displayed during the event, which will surely raise spectators’ interest as they meet different needs of system integrators and end users with greater versatility.“The 2019 Partner Day held on September 26th at Estadio Wanda Metropolitano, Madrid was a success with many of our partners’ participation. However, 2020 is challenging because of COVID-19." "We are moving the Partner day to an online event in order to sustain the opportunity of getting together. During the event, leading representative companies in global security industry and IoT industry will have the chance to present their insights into the latest Security Application and also reflect on current challenges in the industry”, says Mr. Jiaqi Gao, Overseas Marketing Director at Dahua Technology. Smart integrated security solutions “The attendees will have the chance to meet security players in the market and create new and diverse business opportunities.” Committed to its mission of “Enabling a Safer Society and Smarter Living,” Dahua Technology will continue to adhere the core value of “customer-centered” and provide the market with smart integrated security solutions, systems, and services to create value for city operations, corporate management, and consumers.

Eagle Eye Networks Investing In AI To Expand Cloud Capabilities
Eagle Eye Networks Investing In AI To Expand Cloud Capabilities

Combining artificial intelligence (AI) with cloud video creates systems that are smarter, safer and more cost-effective. Furthermore, adding AI capabilities can widen the advantage gap of cloud video systems compared to on-premise systems, especially for cost-conscious end users. “We strongly believe the total cost of ownership (TCO) for cloud systems is more affordable,” says Ken Francis, President of cloud video surveillance company Eagle Eye Networks. “And introducing really powerful AI will expand the cost differences.” Combining AI and cloud video To finance realization of their vision to combine AI and cloud video, Eagle Eye Networks has raised $40 million of Series E funding from venture capital firm Accel. The money will allow Eagle Eye to continue its steep growth curve and leverage AI on its true cloud platform to reshape video surveillance. “The investment will make video surveillance smarter and safer for end users,” says Francis. In effect, end users have maximum flexibility to manage and analyze their video data however they wish The system sends captured video to the cloud, where a variety of AI or video analytics systems can extract valuable data from the captured video. Eagle Eye offers an application programing interface (API) to enable integration of best-in-breed third-party AI and analytics systems to leverage the video. In effect, end users have maximum flexibility to manage and analyze their video data however they wish. Delivering lower costs In addition to offering integration with third-party systems, Eagle Eye is investing in its own AI development, and hiring additional development and customer service personnel. As new technologies become part of the Eagle Eye platform, customers benefit from lower costs because of economies of scale. Keeping the emphasis on development of cloud systems, Eagle Eye also offers customers maximum flexibility in choosing their cameras. Eagle Eye’s on-premise cyber-hardened “bridge” can connect to almost any camera from thousands of manufacturers, including those connecting with HD-over-coax. The COVID-19 pandemic has expanded the need for end users to view their premises remotely, and in the process has highlighted shortcomings of their existing video systems. As a result, video manufacturers - including Eagle Eye Networks - are seeing a surge in end users updating their systems. Cloud video surveillance Given the costs of installing and maintaining hard drives for local storage (and additional challenges during a pandemic lockdown), more end users are opting to use cloud systems. In effect, the COVID-19 pandemic is accelerating installation of cloud video surveillance. “Our industry is the most resilient in the world,” says Francis. Eagle Eye Networks was on track to double their growth in the first quarter, and then COVID slowed everything down As a whole, 2020 has been a successful year for the cloud system provider. Eagle Eye Networks was on track to double their growth in the first quarter, and then the COVID lockdown slowed everything down. During the second quarter, their revenue from setup fees and appliances fell by 35% or so, but subscriptions increased slightly including customers looking to keep watch over their shuttered businesses. Temperature alerting solutions The third quarter saw another big uptick in business; August and September were booming, and not just from projects that were delayed from Q2. There has also been a spike in customers looking to apply temperature alerting solutions, says Francis. In uncertain economic times, cloud systems require around 40% less up-front costs, and provide flexibility to eliminate the system (and the expense) at any time without losing a large financial investment.  Cloud video has reached a tipping point in the United States, Mexico, and the United Kingdom, among other locales, but the technology lags in some other geographic areas such as France. Driving adoption is availability and cost of sufficient upload speed and bandwidth. In addition to Eagle Eye’s branded growth, the company also provides the OEM engine behind a half dozen or so cloud systems offered by other manufacturers. Backing multi-site enteprises About eight years old, Eagle Eye Networks has focused squarely on the small- and middle-sized business (SMB) market, especially multi-site businesses such as retail, banking and healthcare. They also work with local governments and K-12 schools. Moving forward, the company will seek to expand more into multi-site enterprise customers, some of which have 1,000 locations around the world and need to store their video locally to meet regulatory requirements. Multi-site businesses, benefit from the cloud by eliminating the need for local IT equipment and expensive staff Multi-site businesses, especially, benefit from the cloud by eliminating the need for local IT equipment and expensive staff. As Internet connectivity becomes less expensive than installing new cable infrastructure, cloud systems will become more attractive to large campus environments such as colleges and airports, says Francis. The advent of 5G connectivity will also be a plus. All Eagle Eye products are NDAA compliant. Premium support services Further expanding its services, Eagle Eye Networks is poised to launch “Premium Support Services,” in which the cloud provider’s employees will proactively monitor and service customer sites for a minimum additional monthly fee. The cloud structure enables most problems to be addressed and solved remotely without needing to send personnel to a site. The new investment from Accel, a funding partner of top-tier tech companies such as Facebook, Dropbox and Spotify, is Accel's first investment in the security industry. In addition to investing in AI, Eagle Eye also plans to leverage the funding to expand into new regional markets with new data centers and additional staff in business development, sales and support roles.

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