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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.
In 2020, with the continuous spread of the COVID-19 pandemic, millions of people have been infected around the globe. Touchless security devices In these uncertain times, with the ever-increasing demand for touchless security devices, Anviz, a globally renowned biometric security solutions firm, offers the latest touchless solutions - iris and face recognition access control terminals. The company’s latest iris and face recognition access control terminals help reassure business owners, wrestling with the uncertainties of running their businesses, during this very challenging period. Iris S2000 and FacePass 7 Series access control terminals Anviz’s Iris (S2000) and FacePass (FacePass 7 Series) recognition terminals provide 100% touchless user authentication for a variety of applications, spanning access control, time & attendance, visitor management, etc. These terminals help: Detect if a person requesting access has an acceptable face mask or glasses. The face recognition readers have body temperature detection that will instantly alert and deny access to anyone trying to enter with body temperature above the acceptable range. Efficient body temperature screening Anviz’s iris and face recognition terminals feature a very powerful embedded dual core processor Denying access to anyone with high body temperature prevents healthy individuals from being infected, especially in shipping facilities, airports, schools, commercial office buildings, pharmacies, grocery stores, and so on. Anviz’s iris and face recognition terminals are a combination of a very powerful embedded dual core processor and the latest AI deep learning algorithm for high-level accuracy and quick matching-speed. Featuring integrated thermal sensor The capture time of the company’s touchless access control devices is less than 1 second and the matching speed is less than 0.5 second and its body temperature detection is accurate to within +/- 0.3 degrees Fahrenheit when a person stands within 20 inches of its integrated thermal sensor. Anviz successfully launched 3 models of its touchless access control series.
Access control now includes a strong focus on the data integration sideof the business, as showcased at this year’s ISC West When the category of physical security emerged many decades ago, it was literally all about locks, hardware and creating barriers such as fences to keep people out. Fast forward to ISC West 2016 in Las Vegas this week, where the focus is on intelligent solutions, smart data, cloud-based access control and incorporating audio, video and a wide range of safeguards in a total, integrated approach. LE-802 Intelligent Audio Analytic System Louroe Electronics, Van Nuys, California, is one of the original pioneers of audio technologies, and as systems continue to merge and converge, the element of sound provides a much-needed added dimension to fortifying physical security applications. Louroe Electronics is unveiling the LE-802 Intelligent Audio Analytic System, offering a robust and easy-to-install application for unattended audio monitoring on specific events analyzing the presence of gunshots, aggressive speech, glass breaking and car alarms. The system is a complete hardware and software solution housed in a weather- and vandal-resistant enclosure for outdoor applications. It also integrates with most video management and monitoring systems and works as a standalone edge solution analyzing sounds in real time, according to Chris Gaunt, Manager of North American Sales. Connecting Audio To Video Surveillance “Audio security gives you another piece of the puzzle and makes what was a silent movie come to life,” he says, adding that the bread and butter for the company is tying audio to video surveillance, as an attachment to cameras or nearby as an enhancement to surveillance. “For example, in schools, some 80 percent of verbal encounters lead to something aggressive, and now we can do something with preventative audio software,” he says. The company partnered with an analytics company to build the additional audio capabilities into its product, which also fits markets such as public safety, commercial and law enforcement, in addition to education. It also brought to market the Verifact® a gunshot detector for active shooter incidents. Louroe Electronics demonstrated the Verifact® Gunshot Detector at ISC West Data Builds Intelligent Processes A common theme of data and added intelligence was front and center at the show – getting more from physical security. Vanderbilt Industries, Parsippany, New Jersey, introduced Vanderbilt VI Connect at the show, a custom-configurable data management system that integrates Vanderbilt’s security management system (SMS), with third party, disparate systems of any size to automate business workflow. Automation For Error Reduction Mitchell Kane, President of Vanderbilt Industries, says the process of access control has changed and now includes a strong focus on the data integration side of the business. “Automating workflow makes the process less labor-intensive and eliminates user error in programming permissions and schedules. The entire process is automated and performed through web interfaces and hosting. Everything we automate means one less thing to do and one less chance of doing something wrong.” VI Connect establishes rules engines and also can provide the systems integrator with detailed security audits and reports for the end user. For example, the solution can be used in higher education environments where student data — demographic information, enrolled courses, housing information and badging settings — can be processed and manipulated through the VI Connect system, ensuring that a student is only allowed to gain access to campus buildings that are relevant to that particular student’s major. CrossChex Time Attendance And Access Control Management System Anviz, an intelligent security provider with roots in biometric and RFID applications, is making its move to the cloud with the CrossChex Time Attendance and Access Control Management System. The company offers three different levels to expand the scope of specification possibilities: Desktop for small and medium businesses; Professional designed for enterprise web-based management; and Cloud for global enterprise applications. Brian Fazio, Director of Global Sales, Shanghai, China, says the three different versions provide a full solution for every type of user and their specific time and attendance applications. “CrossChex satisfies the time and attendance and access control requirements in different, complicated environments,” he says, and it also provides report management and a mobile application function that can be applied and accessed via smartphones. The lines of typical product categories continue to blur. The focus is on integrating a wide range of solutions to meet the challenges and issues of the end-user customer.
Foot traffic improved a little on the second day of ASIS International in Anaheim, California. Furthermore, the high quality of meetings at the big industry show tended to overshadow complaints about attendance. There is plenty to talk about in Anaheim. “The conversations have been much more substantial than you usually have at a trade show,” says Charles Hunger, Product Marketing Director, Anviz Global Inc. “They’re not general conversations, they’re ‘How can I use it? I have a very specific problem I need to solve.” Cloud-Based Services For Biometric Access Control Anviz specialises in small- to medium-sized business (SMB) applications. The company’s biometric time-and-attendance systems are strong in the retail/restaurant/small medical facility market, while the manufacturing vertical favours Anviz biometric access control applications. A relative newcomer to the U.S. market, Anviz announced at ASIS that it will begin offering cloud-based services for biometric access control and time and attendance. In business since 2001, Anviz has been successful in the Latin American market (especially Argentina) and entered the U.S. market in 2010, selling products manufactured in Shanghai, China, including a line of surveillance cameras branded under the Anviz name. The company has about two dozen dealers across North America, moving deliberately with a strategy to pay for growth in the U.S. market from sales revenues. OnSSI Ocularis v5.0 ASIS is a great venue to highlight product improvements, and some new products introduced just last spring have been upgraded and improved since their initial launch. For example, OnSSI introduced Ocularis Version 5.0 in the spring, the first version of OnSSI’s flagship software that uses the company’s own recorder (versus an OEM’d recorder.) Ocularis Version 5.1 now includes additional integrations with camera manufacturers, including Arecont Vision and Canon, in addition to the cameras previously supported. The system also uses server-based motion detection. ASIS is a great venue to highlightproduct improvements, and somenew products introduced just lastspring have been upgraded andimproved since their initial launch Fully encrypted using 256-bit AES, the software can be used in banking and government applications.The system also manages storage of video and load-balances storage among multiple drives to increase capacity. “The customer reaction to Ocularis 5 has been tremendous,” says Ken LaMarca, OnSSI’s Vice President of Sales and Marketing. “They are embracing it because it is a wholly owned product.” He says the quality of attendees at OnSSI’s booth has been very good. “But there haven’t been enough of them.” Placing confidence in the uniqueness of a product line is a good strategy in the era of commoditization. That seems to be the case for MOBOTIX, which has always charted its own product development course. The German company emphasized IP video when analog was still dominant, and they were also early to the idea of edge storage. Even with a heritage of innovation, Keith Jernigan, MOBOTIX General Manager, says the company needs to work to educate the market on who they are. New Thermal Cameras Offering hemispheric cameras, a new thermal radiometry camera and improved video management software (VMS) that is touch-screen and intuitive to operate, the company has a lot to tell the market about. There is also a 6 megapixel camera in the lineup and “Moonlight” low-light imaging. “We believe in the technologies the company was founded on,” says Jernigan, noting that many technologies have become more common since they were pioneered by MOBOTIX. Another message for MOBOTIX at the show is use of video for functions beyond security, such as use of the new thermal camera to detect temperature extremes to monitor manufacturing or other processes. Open House Events Placing confidence in the uniquenessof a product line is a good strategy inthe era of commoditization After the show closed, events in the evening continued to draw crowds, including two open house events in nearby Irvine, Calif., a center of technology. Axis Communications hosted an open house at their new “Axis Experience Center,” a learning facility that can host up to 28 people and also focuses on use of Axis products in a variety of vertical markets, with full displays of systems targeted to markets such as gaming, education, retail and banking. A short ride away, Dahua was also hosting an open house at its Irvine facility. The Chinese company is on the verge of expanding its presence in the U.S. market, building its channel, and positioning Dahua as a trusted brand in the video surveillance market. The company has been in the U.S. market for years as an OEM/ODM manufacturer, but is now beginning to build up its branded business. The global company is already selling products, including HD cameras, NVRs, video display walls, VMS software and video analytics, in 140 countries. It’s one of the companies that makes the ASIS show truly international.
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