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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.
FLIR Systems, Inc. has announced the FLIR VS290-32, an industry-first, videoscope that combines thermal imaging and a visible camera specifically designed for safer and more efficient inspections of hard-to-reach underground utility vaults. FLIR VS290-32 videoscope The VS290-32 is the company’s first industrial-grade, electrical safety-rated, flexible dual-sensor videoscope on a replaceable, two-meter-long camera probe. For use in the most demanding environments, the VS290-32 is CAT IV 600 V safety rated for electrical inspections, along with an IP67-rated camera tip and IP54 base unit to protect against dust and water. The device features FLIR Systems’ patented Multi-Spectral Dynamic Imaging (MSX), which improves image clarity by embossing visual scene details onto full thermal images, providing crucial context to accurately and safely assess and identify potential issues to prevent blackouts and asset failures. Featuring low-profile tip and bright LED work light A low-profile tip and bright LED work light provides illumination for MSX in dark environments, including under manhole covers or in other tight spaces such as attics, within HVAC systems, and inside machinery. “The ruggedised and electrical-safety rated videoscope with MSX will drastically increase the ease of thermal inspections within tight, hard-to-reach places at power generation plants, power distribution systems, manufacturing facilities, and for public safety, and building diagnostics inspections,” said Rickard Lindvall, General Manager for Solutions Business at FLIR Systems. Equipped with FLIR Lepton thermal sensor The VS290-32 features a FLIR Lepton thermal sensor and offers the option of hot/cold color alarms The VS290-32 features a FLIR Lepton thermal sensor and offers the option of hot/cold color alarms, or isotherms, to quickly identify areas of concern across a temperature range from -10 to 400 degrees Celsius (14 to 752 degrees Fahrenheit). The device includes a dual battery charger along with lithium ion rechargeable batteries that each provides up to six hours of continuous use. Enhanced safety in vented manholes’ inspection “Safety is Con Edison’s top priority,” said Andrew Reid, Section Manager for Engineering and Analysis in Distribution Engineering at Con Edison, adding “This new tool allows our crews to safely, efficiently, and effectively inspect vented manholes and identify potential problems without having to remove the cover or even having to enter the structure.” Andrew further said, “This reduces the physical effort required by our crews, the time it takes to complete an inspection and enhances data collection activities to support our ongoing infrastructure planning and maintenance.”
Thermal cameras are not only used to safeguard property and people but also to protect mission-critical equipment. At manufacturing plants, maintenance teams want to aggregate data to continually evaluate an asset’s health and know if it is about to fail. Production managers are keen to catch process anomalies that result in faulty products or packaging before these products leave the production line. Safety managers need to detect excessive heat build-up on fuel, hazardous material, and electrical components before combustion occurs and a fire breaks out. By deploying thermal cameras for condition monitoring, process control, and fire prevention applications, plant managers ensure maximum uptime and avoid catastrophic events. Why thermal cameras? Because temperature changes can be an early indicator of equipment deterioration, non-uniform temperature profiles on products, or a hotspot area, thermal automation cameras are a premier choice for plant managers. Radiometric thermal cameras yield a temperature value for every pixel in an image and clearly visualize the temperature differences of a surveyed area. Upon exceeding a specific temperature threshold, a thermal automation camera sends an alarm, or, if integrated with other control processes, triggers an action to de-escalate the situation. FLIR automation cameras in action FLIR offers an array of radiometric thermal cameras that are highly effective automation solutions. Here are three examples of how FLIR automation cameras made a difference for critical facilities in the industrial sector. Steel Mill: Few equipment failures are as dangerous and damaging as a steel breakout at a steel mill, where a ladle or torpedo enclosure ruptures and pours out hundreds of tons of 1400°C (2552°F) molten iron onto the plant floor. Because hotspots can occur on this machinery in less than a minute, engineer service company ANT Automation provides its steel mill customers with a Continuous Infrared Analysis (CIRA) platform. Condition Monitoring: The cornerstone of the CIRA solution is reliable thermal imaging from a FLIR automation camera, which monitors the entire surface of ladles and torpedoes; provides historical temperature data to distinguish between typical splashes and hotspots, and sends an alarm to personnel to act upon true hotspot detection. As a result, ANT Automation customers experience heightened equipment protection, cheaper insurance premiums, and greater peace of mind. Paper Mill: At paper mills, calendaring or the process of putting paper webs through hard pressure rollers to smooth the paper is important. However, excess moisture can occur on the paper web between the rollers, damaging roll covers and causing downtime. One North America paper manufacturer experienced an average of 30 moisture events annually where each event equated to $100,000 in losses. Process Control: To remedy the situation, the manufacturer turned to Eigen, an AI-enabled vision solution provider. Eigen provided a platform that featured FLIR automation cameras, an edge computing device, and analytics software. The FLIR cameras continuously monitor the paper web prior to it entering the calendar machine and upon detection of cold streaks, trigger an unload alarm so that calendar stacks are opened and roll covers are cleaned. Eigen estimates its automation solution will result in 300 unloads for a total savings of $1.2 million. Waste facility and fire prevention Based in the town of Legnago in Northern Italy, Ecologica Tredi operates an 11,000 square meter facility that specializes in the recovery and treatment of special, hazardous, and non-hazardous waste. Should material combust and cause a fire at the plant, the consequences include unwanted pollutants released into the environment, damaged equipment, and lengthy business interruptions. Thermostick Elettrotecnica provides a comprehensive monitoring control and alarm system based on FLIR automation cameras To enhance workplace safety and meet regulation compliance, Ecologica Tredi partnered with Thermostick Elettrotecnica, who specializes in unconventional fire detection systems. Thermostick Elettrotecnica provided a comprehensive monitoring control and alarm system based on FLIR automation cameras. These FLIR cameras monitor work and storage areas and upon specified alarm events, can activate sprinklers or cannons. FLIR AX8 camera Thermostick Elettrotecnica also deployed a FLIR AX8 camera to survey material on the conveyor belt coming out of a shredder. Upon identifying abnormally high temperatures, the belt stops. After completing its audit of the facility, the Ministry of Interior said Ecologica Tredi was one of the most equipped for fire prevention. These are just a few deployments that demonstrate how automation solutions, like the FLIR A400/A700 Smart Thermal Sensor camera, can be used to avoid unplanned outages, production line shutdowns, fires, and other surprise events that cause substantial disruptions and financial loss. Deployment recommendation When evaluating how to implement thermal cameras for one's automation application, there are several factors to consider. Here are a few recommendations to get one started. Select an Accurate Camera: For automation, accurate radiometric thermal images are key. Select a high-resolution radiometric thermal camera that yields sharp images and rich image detail. FLIR offers two optimal thermal detector arrays, 320x240 or 640x480, which provide up to ±2°C accuracy within temperature ranges of -40°C to 2000°C. Choose an Analytics Software: Easily integrate FLIR automation cameras with one's preferred analytics software. Some of the software that FLIR cameras currently integrate with include Cognex Designer Pro, NI Software, Pleora Ebus, Teledyne, and Spinaker SDK. Determine Regions of Interest and Alarm Settings: Define what critical areas need to be surveyed for hotspots or temperature variances. When deploying FLIR cameras, one can select up to 10 regions of interest. Simply use the web-based configuration window on one's mobile device or computer to select spots, draw boxes, or create custom areas. Create one's alarm parameters as well as the desired response by defining the data acquisition output type. Integrate with Control Processes: For improved intervention, integrate thermal automation cameras with other control processes. To do this, ensure one's automation camera is compliant with communication protocols such as GigE Vision, RTSP, MQTT, RESTful API, MODBUS TCP & Master, Ethernet IP, and FTP.
Blind spots in surveillance coverage, incompatible video and access control systems, lack of adequate perimeter measures are some of the common issues that facility directors must address with their security teams. At the end of the day, facility executives need technology that accomplish more with less and that expand situational awareness, overall system functionality, and real-time response capabilities, while generating cost savings. By leveraging technology like thermal imaging, this is possible. FLIR Systems stresses that security directors who want to improve facility management, specifically 24/7 monitoring for heightened security and elevated skin temperature frontline screening for entry control, should consider incorporating thermal cameras into their next security upgrade or new installation project. Leveling up security with thermal security cameras By using thermal security cameras, facility directors can better protect their property By using thermal security cameras, facility directors can better protect their property and tenants from external threats. Backed by decades of successful deployment in the government and defense sector for reconnaissance, thermal imaging is a trusted technology. New innovations have expanded the use cases for thermal cameras and made them widely available to commercial and industrial facilities. Corporate offices, manufacturing plants and healthcare campuses all use thermal cameras as a core component of their security strategy. 24/7 surveillance in low light or dark settings Thermal security cameras perform in adverse conditions where standard surveillance cameras cannot. Visual cameras require a light source, and thus, additional infrastructure, to produce an image. If there’s no light, there’s no video. Because thermal cameras measure infrared radiation, or heat, they do not need illumination to produce imagery. In fact, thermal cameras can see in total darkness as well as in rain, smoke, and light fog. They truly enable 24/7 surveillance. Furthermore, thermal cameras yield high-contrast imagery, which not only enhances video analytics performance, but also situational awareness. For example, a security operator viewing a thermal camera feed can easily spot a trespasser attempting to camouflage in the foliage at night, by alerting the operator of body heat on premise. Thermal cameras also enable alarm validation. Equipped with onboard video analytics While motion sensors, laser detectors and fiber optic cables need another technology to visually verify the alert, thermal cameras already provide this function. With onboard analytics, thermal cameras detect objects, classify whether it’s a human, animal or vehicle, and provide video clips for remote operators to assess the alert. Consequently, thermal cameras minimize unnecessary dispatch of guards or police for false positives, saving valuable time, money and resource for facilities. In the event of a true alarm, thermal cameras enable superior suspect tracking. Upon receiving an intrusion alert, a long-range pan-tilt thermal camera can widely monitor the area and scan the property. The camera can then follow the movements of an intruder and if equipped with both thermal and optical sensors, provide both thermal and color video of the person. With this data, a security officer can ascertain the threat level and determine whether the person is an employee who forgot their ID or an unauthorized person trespassing on private property. Maximising intrusion detection capabilities It is important to note that thermal cameras cannot detect a specific individual or their personal information It is important to note that thermal cameras cannot detect a specific individual or their personal information, rather they classify whether the object is a human and then, further analysis is required through of the use of visual cameras for identification. For these reasons, facility directors, especially those managing large campuses or properties, should consider deploying thermal cameras to maximize their intrusion detection capabilities for stronger overall security. Streamlining entry control with temperature screening Facility executives can also improve their access and entry control security procedures by using radiometric thermal cameras for temperature screening. COVID-19, classified as a global pandemic in March 2020, has permanently changed how facility directors build security and environmental, health and safety (EHS) plans. Now, facility directors are prioritizing protocols and technologies that minimize both the risk of exposure, as well as the spread of infectious diseases among employees, visitors and contractors. Temperature checks have become one of the most widely adopted as a key component of frontline screening practices across facilities. In fact, General Motors plants and the Pentagon Visiting Center are notable examples of critical facilities deploying radiometric thermal cameras for skin temperature screening. Radiometric thermal cameras Radiometric thermal cameras for skin temperature screenings allow for a non-contact, frontline diagnostics tool that enables high throughput. These thermal cameras specifically measure skin surface temperature at the inner corner of the eye, the region medially adjacent to the inner canthus, which is known to be the best measurement spot. The most reliable thermal cameras yield accuracies of ±0.3°C (0.5°F) over a temperature measurement range of 15°C to 45°C (59°F to 113°F). Available in a handheld, tripod-mounted or fixed-mount form factor, elevated skin temperature thermal cameras are deployed inside entryways, immediately screening people as they walk into the facility. These cameras scan a person up to one to two meters (or three to six feet) away. Premium thermal cameras can scan individuals in two seconds or less. Enhanced detection of elevated skin surface temperature Thermal cameras are used as an adjunct to clinical procedures in the screening of skin surface temperature Thermal cameras are intended for use as an adjunct to clinical procedures in the screening of skin surface temperature. Upon detection of an elevated skin temperature, a person must then undergo a secondary screening where a medical device can determine whether the person has an actual fever or should partake in virus specific testing. By implementing these screening procedures, facility directors ensure a faster, non-invasive method to quickly detect possible signs of infection before an individual enters a populous area. This minimizes the risk of communal spread of viruses among employees in the workplace, which ultimately increases workforce health, safety and peace of mind. Implementing a total security solution A total security solution designed to detect both physical threats, as well as environmental and health hazards are one that includes thermal cameras for elevated skin temperature screening. Facility managers can strengthen their risk management plans by proactively expanding their security systems to include these solutions. Many physical security solutions are already in place at key entry points, as well as additional checkpoints, such as indoor surveillance cameras, visitor management and access control. Implementing screening stations with specific radiometric thermal cameras is a logical integration at these locations. Choosing the right solution for the facility While thermal cameras for perimeter protection and elevated skin temperature screening are valuable components to the overall security system, facility directors need to know that not all thermal is created equal. Thermal cameras need to be carefully researched and evaluated before deployment. Here are a few best practices for choosing the right thermal camera for your facility and application. Define Your Application: A thermal camera made for long-range perimeter monitoring functions differently than a thermal camera built for elevated skin temperature screening. Make sure to choose a camera designed for your specific use case. Know the Distinguishing Characteristics: Be aware of which technological features separate high-performing cameras from low-end options. For perimeter thermal cameras, resolution, detection range and integration capabilities matter. For elevated skin temperature screening cameras, resolution, sensitivity, accuracy and stability are critical. Check for Certifications: Select a thermal camera with proven interoperability. Consider one that is ONVIF compliant to ensure integration with the overall security system and chosen video management software. Additionally, for elevated skin temperature cameras, consider one that has a 510(k) filing (K033967) with the S. Federal and Drug Administration as well as one that supports other screening standards such as ISO/TR 13154:2017 and IEC 80601-2-59:2017. Work with Experienced Partners: Work with a system integrator who is knowledgeable in thermal. Choose thermal cameras from manufacturers with a solid track record of success for both security and elevated skin temperature screening deployments. Leverage guidebooks, site planning tools and online trainings that these experienced manufacturers have to offer to maximize performance.
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