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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.
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.
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.
Pivot3, the provider of intelligent infrastructure solutions for mission critical video, announces it is the first hyperconverged infrastructure (HCI) platform to be certified with BVMS – the video management system from Bosch. This certification enables organizations using BVMS to realize additional improvements in economics, simplicity and agility in their physical security environments that only Pivot3’s video-optimized infrastructure can offer. Pivot3’s HCI surveillance solution is the industry’s only hyperconverged infrastructure designed specifically for the unique demands of video workloads and complements the embedded resilience, scalability and reduced total cost of ownership benefits BVMS delivers. Mission-Critical video surveillance We are pleased to partner with the Bosch team on this validation” Pivot3’s hyperconverged infrastructure unifies storage, compute and virtualization resources into a highly resilient, easy-to-deploy and scale solution that reduces cost, complexity and organizational risk. Pivot3 is purpose-built for mission-critical video surveillance and security operations with the ability to consolidate video management, video storage, video analytics, access control and other security workloads onto a common infrastructure. Pivot3’s infrastructure also uses intelligent automation to deliver proactive system health, configuration optimization and automatic information sharing with Pivot3’s Support Cloud to ensure systems are running at peak performance and availability. “Bosch’s focus on resilience, reduced cost of ownership, and scalability address the business needs that enterprises such as airports, commercial buildings, manufacturing plants, and large entertainment complexes have,” said Mike Koponen, sr. director business development, Pivot3. “We are pleased to partner with the Bosch team on this validation; this certification validates the use of Pivot3 HCI with BVMS for customers wishing to deploy our intelligent solutions together.”
Pivot3, the provider of intelligent hyperconverged infrastructure solutions for mission-critical video, announces significant automation and intelligence enhancements to its Acuity software platform to address the system administration, maintenance and availability challenges often faced in large-scale video surveillance deployments. The new intelligent system health and best practices analysis features provide significant reductions in total cost of ownership, ensure 24 x 7 system uptime in large multi-petabyte environments, and enable customers to automate end-to-end system life-cycle management processes, all while ensuring high-availability. managing large deployments “Customers who have safety and security responsibilities are increasingly required to manage large deployments of servers and storage due to the number and resolution of cameras, the increasing use of video analytics and other leading edge security applications,” said Ben Bolles, vice president of product management, Pivot3. “The sheer scale of these deployments presents new management challenges for security personnel to keep systems up-to-date and operating at peak performance and efficiency. Pivot3 is meeting this growing challenge with expanded automation and intelligence capabilities to provide customers with peace of mind, knowing their system is operating at its utmost level of resilience and performance.” System health monitoring At the core of Pivot3’s Acuity software platform is the Pivot3 Intelligence Engine At the core of Pivot3’s Acuity software platform is the Pivot3 Intelligence Engine. The Intelligence Engine comprises many automated system management capabilities including performance optimization, data protection, auto-healing, system health monitoring and analytics that are shared to Pivot3’s Support Cloud. This automates traditionally time-consuming systems administration and maintenance tasks to reduce operating expenses and allows organizations to expand and improve their physical security posture with fewer specialized IT skills. Video evidence recording Pivot3’s Intelligence Engine now includes system-level upgrade orchestration and health and best practices analyzer features optimized for large-scale environments. The Upgrade Manager is designed to simplify performing end-to-end system updates by automating mundane system administration tasks, resulting in improved life-cycle management of large-scale systems and a reduction in the specialized skills required to run these sophisticated deployments. The Health and Best Practices Analyzer automatically verifies system health and detects anomalies, both system-wide and for individual appliances. To lower the risks and liabilities associated with video evidence recording and access, the system also ensures that best practices to deliver 24 X 7 system uptime and availability are observed. Pivot3’s new Intelligence Engine capabilities are in version 10.8 of the Acuity software platform available in Q3 2020.
Pivot3, the globally renowned provider of intelligent hyper-converged infrastructure solutions for mission critical video, has announced a new platform for video surveillance solutions that enable organizations to do more with less in supporting their mission-critical security operations. Powered by the next generation Lenovo ThinkSystem SR655 server platform with 2nd Gen AMD EPYC processor, the new Pivot3 solutions deliver 10% lower cost per terabyte, 14% better capacity density and 100% more bandwidth than similar solutions. The result is improved camera density at a lower overall TCO for customers who consider their video mission critical. Pivot3 Surveillance Series “More and more customers are juggling how to enable better business decisions through technology, including capturing, storing and analyzing massive amounts of video data to enable real-time decision making with tight budgets,” said Kamran Amini, Vice President and General Manager of server, storage and software defined infrastructure, Lenovo Data Center Group. He adds, “Lenovo is collaborating with Pivot3 to deliver innovative solutions that empower customers with the performance they need to handle today’s fast-paced environments while eliminating their challenges.” Powered by Lenovo ThinkSystem SR655 server platform Pivot3 Surveillance Series appliances provide the performance of a dual-socket server at a lower acquisition cost With the Lenovo ThinkSystem SR655 server platform, the new Pivot3 Surveillance Series appliances provide the performance of a dual-socket server at a lower acquisition cost. The single-socket configuration also offers the potential of up to 50% savings on software licensing compared to the dual socket x86 alternative without sacrificing any performance. These savings are due to the solution’s use of one CPU instead of two CPUs. Because the Lenovo ThinkSystem servers include the 2nd Gen AMD EPYC processors they also support PCIe 4, which delivers 100% bandwidth increases compared to PCIe 3. Enhanced bandwidth for video recording With this update, customers get significantly more bandwidth for video recording and 150% increase in networking speed, with 25GbE support to enable faster video transfer from the edge to the core. The new Pivot3 solutions empower organizations dealing with the enormous growth of video to capture, store and analyze massive amounts of video data while controlling infrastructure investments. Optimized for video workloads The new solutions combine the power of the AMD EPYC processors along with Pivot3’s software optimized for video workloads to help ensure video loss and degradation never occur and video is always accessible and available. The Pivot3 solution also enables non-disruptive scalability and provides intelligent monitoring and analytics capabilities for real-time system health monitoring to maximize system uptime and reduce time to repair. Mission-critical IoT, security and video deployments AMD EPYC processors provide an additional layer of value to the new Pivot3 platforms" “The combination of Pivot3, Lenovo and AMD delivers the resilience and optimal performance organizations need to support mission-critical IoT, security and video deployments,” said Greg Gibby, Senior Product Marketing Manager, Data Center Products, AMD. He adds, “AMD EPYC processors provide an additional layer of value to the new Pivot3 platforms, empowering customers to make the most of their budgets upfront while increasing cost-effectiveness over time, critical for businesses that seek to expand their video deployments as needs evolve.” Single, modular software-defined platform The flexibility of the Lenovo ThinkSystem SR655 allows servers to be configured to support the massive processing requirements of new video analytics applications as well, meaning customers can deploy one modular, flexible software-defined platform to meet all their mixed security-workload requirements. This significantly reduces complexity and cost of ownership over traditional 3-tier proprietary systems or bare-metal servers. Enhanced security and safety measures “While video data output is growing, budgets have remained the same and this leaves security and IT professionals challenged on how to deliver on security and safety imperatives,” said Ben Bolles, Vice President of Product, Pivot3. Ben adds, “Building on more than a decade of experience creating solutions purpose-built for video and leveraging the latest in processing technologies, Pivot3 delivers the performance and economics that today’s security decision-makers require.”
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