Explosives detection

UVeye, a supplier of high-tech vehicle-inspection systems, is planning to expand in the United States with the introduction of products especially designed for car dealers, used-car auction houses and major vehicle-fleet operators. The company plans to open sales and product development offices in Ohio and New York within the next four months, is assembling a team of regional sales representatives and also is exploring various North American locations for production and warehouse facilities in 2021. “Our systems are ideally suited for use by new and used-car dealership groups, major fleets, vehicle auction houses and rental-car companies,” noted Amir Hever, UVeye’s Co-Founder and CEO. “Our deep-learning technology identifies even the smallest exterior defects or problems within seconds and can significantly improve profit margins and customer satisfaction levels.” Artificial intelligence technology Hever said UVeye’s automated vehicle-inspection systems are equipped with high-speed cameras and artificial intelligence technology to check for sheet metal damage, underbody component problems and tire wear. Its technology also is used by carmakers to improve manufacturing quality and by security professionals to detect bombs, weapons and other onboard-vehicle threats (UVIS). A European headquarters is scheduled to open in Munich, Germany, later this year North American sites under consideration for future UVeye production facilities include locations in Michigan, Ohio and Texas, as well as several states in the southeastern United States. The company currently has headquarters in Tel Aviv, Israel; Stamford, Connecticut, and Tokyo, Japan. A European headquarters is scheduled to open in Munich, Germany, later this year. Quality control technology The company’s 360-degree Atlas quality control technology was shown for the first time in North America earlier this year at CES 2020 in Las Vegas. UVeye inspection systems today are being deployed worldwide by major carmakers such as Volvo, Daimler and Toyota. Atlas systems with software developed for use by major vehicle fleets and car dealerships are equipped with high-resolution cameras to capture paint and sheet-metal defects, component damage, missing parts and other quality-related issues. Atlas generates thousands of images per second at multiple angles to detect scratches or dents as small as two millimeters in diameter. Machine learning technologies Our deep-learning technology will change how automakers inspect vehicles" “Our deep-learning technology will dramatically change how automakers, dealers, major fleet operators and used-vehicle auctions inspect vehicles,” Hever predicted. “We already are working with a number of car manufacturers and vehicle resale businesses to provide efficient, high-speed inspection systems that will save both time and money.” He added that the company’s proprietary algorithms, cloud architecture, sensor fusion, artificial intelligence and machine learning technologies allow it to automatically check vehicle chassis components, suspension systems, sheet metal and tires at dealerships within seconds. Vehicle inspection processes “Our systems help standardize and speed up vehicle inspection processes and give dealership service personnel more time to work directly with their customers,” Hever pointed out. The company’s deep-learning technology initially was developed for the security industry to detect weapons, explosives, illegal drugs and other contraband. Today its inspection systems are in place at hundreds of high-security locations throughout the world and have generated millions of vehicle scans. “We currently have several major automotive- and security-industry pilot programs underway in North America,” Hever concluded. “Combined with development projects underway in Japan and Europe, we expect those programs will lead to a significant amount of new business over the next 12-24 months.” Automated inspection systems The company is setting new standards for vehicle inspection in the automotive and security industries The company develops and provides automated inspection systems for vehicles, powered by artificial intelligence and proprietary hardware. UVeye’s deep-learning-driven “Inspection as a Service” unified platform provides an objective, scalable and efficient standard for identifying issues in vehicles as they move through the automotive lifecycle. UVeye’s anomaly detection and alerting solutions offer support from assembly-line and paint shop inspections at the OEM manufacturer to the aftermarket applications, including systems for insurance providers, fleet managers, rental agencies, dealerships and used-vehicle auctions. Intelligent vehicle screening UVeye’s first line of products, deployed all over the world in homeland-security and defense markets, enables customers to automatically scan, detect and identify anomalies, modifications or foreign objects in the undercarriage of virtually any vehicle. The company today is setting new standards for vehicle inspection in the automotive and security industries by changing basic approaches to vehicle inspection through automated processes, improved accuracy and standardized inspection systems.

iDENT LLC and Limitless Integrations LLC have announced the launch of the patent pending iDENT MODS (Mobile Onsite Detection System) that will include Patriot One Technologies Inc.’s (Patriot One) PATSCAN Multi-Sensor Threat Detection Platform with specific modules for the early detection of weapons and potential-health related threats, such as COVID-19 and other pathogenic viruses. iDENT MODS unit The iDENT MODS (Mobile Onsite Detection System) unit has been designed to be used in key public gathering locations, such as stadiums, arenas, entertainment venues, and other secure facilities. Leaders from the entertainment, professional sports, and events industries have expressed great interest in the iDENT MODS units, and its inclusion of the PATSCAN platform, to ensure a safe and secure environment for their patrons. iDENT MODS (Mobile Onsite Detection System) unit has been designed to be used in key public gathering locations The solution will be showcased over the next several months, with the intent to restore trust and confidence to their customers and allow staff and talent to return to work and play. health safety solution The iDENT MODS unit was specifically designed in response to key entertainment and professional sports clients who were looking for an all-inclusive physical threat and health safety solution that could be used to re-open their venues safely and securely.   The goal was to minimize time and inconvenience for all event goers, and venue staff at onsite security checkpoints, while providing enhanced safety and security at the venue. Touchless and frictionless security screening “These iDENT MODS offer event promoters and venue operators a touchless and frictionless security screening process for up to 1800 people per lane per hour,” explained Albert Reynolds, iDENT LLC’s Chief Operations Officer (COO) and Co-Founder. Albert adds, “Our two (2) or six (6) lane units offer great options for front of house or back of house screening to ensure customer, staff and talent safety and security as they attend their favorite programs.” Incorporating AI-powered PATSCAN platform The PATSCAN solutions leverage advanced AI capabilities, correlating data from multiple sensing devices By incorporating the PATSCAN platform’s innovative AI-powered threat detection solutions, visitors to event or sports venue can be quickly screened for visible and concealed threats at the outer perimeter of facilities’ plazas, so as to ensure that when they enter the secure area, all are ensured a great and safe experience.   The PATSCAN solutions leverage advanced AI capabilities, correlating data from multiple sensing devices, in near-real time, allowing for very high accuracy, and a pre-emptive approach to minimizing or eliminating risk. Enhanced threat detection By looking for, and identifying risks first, and then identifying individuals, the solution also protects all attendee’s privacy and civil liberties. If a threat is detected, whether associated with weapons, or health risks, onsite security will be immediately notified, and the individual will be flagged for additional screening before gaining access to the stadium or arena. “Opening up event venues is critical to our communities from both an economic and social perspective,” expressed Peter Evans, the Chief Executive Officer (CEO) of Patriot One Technologies Inc. Mobile onsite detection units Peter adds, “Incorporating our PATSCAN platform threat detection solutions into these mobile onsite detection units not only provides entertainment, hospitality and retail businesses the opportunity to return to work, but it also provides event goers the confidence that they will be safe and secure as they return to their favorite entertainment and sporting events.” The iDENT MODS are constructed from mobile shipping containers The iDENT MODS are constructed from mobile shipping containers, which can be transported from one venue to another, and be quickly deployed. Event attendees, along with the onsite venue staff and talent, simply walk through a mobile checkpoint in 4 simple steps, without the need to empty their pockets of keys, cellphones, wallets, money, loose change or other personal items. These 4 steps include: Step 1: As an event attendee approaches the iDENT MODS unit, the PATSCAN VRS Weapon & Facial Mask video detection solutions identify potential visible threats in real-time. Step 2: As the attendee passes through the unit, the PATSCAN MSG multi-sensor gateway instantly scans for concealed weapons, such as larger knives, guns, sharp objects and rifles. Step 3: As the concealed weapon scan is taking place, the PATSCAN VRS-T solution scans for elevated body temperature, which may indicate a viral threat or extreme motive. Step 4: As the event attendee prepares to leave the iDENT MODS unit, they swipe their event ticket across the contactless ticketing system. Saffire Tix and block chain-based Health Passport from GetChkd Inc. have combined their technologies to create a portable contactless ticketing solution, which can be linked to an at home or on-site point of care test. Venues could require a negative COVID-19 test, health screening questionnaire, proof of identity and a temperature scan before an event goer and staff can attend and enter a stadium or an arena. Threat Detected? If at any time during this 4-step screening process a threat should be detected, then onsite security are notified in real-time, and can move the individual to a secondary screening area for further investigation, prior to providing event access. As highlighted earlier, the unveiling of the iDENT MODS unit will take place over the next few months with iDENT LLC, Patriot One Technologies and senior executives from the entertainment, events and sports facilities. Each potential client will see the working of the iDENT MODS unit and discuss their specific use cases and facility needs to meet their security and screening requirement.

Smiths Detection, a globally renowned threat detection and security technology solutions company, has announced that it has developed the capability to detect synthetic cannabinoids, commonly known as Spice or K2, with its IONSCAN 600 trace detection solution. Detecting synthetic cannabinoids This development comes following an extensive R&D process and testing trials with major correctional institutions around the world and expands the IONSCAN 600 existing detection library of explosives and a wide range of narcotics, including various forms of fentanyl, cocaine, heroin, methamphetamine, and THC (Tetra Hydro Cannabinol). IONSCAN 600 trace detection solution IONSCAN 600 trace detection solution is also highly effective in finding narcotics that are concealed The IONSCAN 600 trace detection solution is also highly effective in finding narcotics that are concealed, such as those that have been liquefied and absorbed in paper. Spice or K2 is an emerging threat for law enforcement officials, especially in critical public administration infrastructure facilities, such as prisons, jails, and other secure government facilities. These potent substances can cause life threatening health effects and ailments when consumed and pose detection challenges during conventional security screening process. CBRNE detection and identification solutions This development is the latest from Smiths Detection who have invested heavily into the critical infrastructure market, which includes law enforcement, emergency responders, and security, to build a comprehensive portfolio of chemical, biological, radiological, nuclear, and explosive (CBRNE) detection and identification solutions.  Philo Daniel, Global Director of Urban Security at Smiths Detection commented, “We are very pleased by the release of this new detection capability. This new library has received a significant level of R&D investment and underwent extensive testing to ensure our customers have the very best information available to them to make critical decisions that protect public health, safety, and security.”

Gunshot Detection Systems market report introduces basic information including definition, application, industry chain structure, industry overview, classification, policy analysis, and news analysis. Insightful predictions for the Gunshot Detection Systems Market for the coming few years have also been included in the report. Gunshot Detection Systems report The report provides a detailed analysis of global market size, segmentation market growth, regional and country-level market size, market share, competitive landscape, sales analysis, the impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations. This report presents an intensive outline of the market and its normal development way over the period somewhere in the range of 2020 and 2029. The compound yearly development rate (CAGR %) for all fragments of the market is accommodated in this period. The report features the key patterns of, at various times, expected to assume a key job in the general improvement of the market over the forecast period. Variable driving and controlling the market The report additionally diagrams the urgent variables driving and controlling the market The report additionally diagrams the urgent variables driving and controlling the market. An itemized outline of rewarding development openings across key portions and local markets is additionally included. The report likewise presents a qualitative and quantitative investigation of the advancement observed in the field of Gunshot Detection Systems technologies in the previous years. Through essential and optional research endeavours, detailed information relating to new revelations to have forayed into the worldwide market in the previous years, have been remembered for the report. Information in regards to the buyer and seller scene, administrative system across key provincial markets, and areas with high-development possibilities are likewise remembered for the report. Trends and Opportunities One of the key variables driving the worldwide Gunshot Detection Systems market is the expanded interest for new procedures and standards for viably taking care of enormous information related issues and the rising appropriation of Gunshot Detection Systems-based automatons and different equipment in safety and military applications. Various different businesses are additionally contributing expanded entities on the appropriation of logical arrangements that can cut down operational expenses and make activities speedier and increasingly beneficial. Gunshot Detection Systems-based calculations As Gunshot Detection Systems-based calculations end up being viable in these zones and the mindfulness with respect to their advantages rises, the Gunshot Detection Systems is relied upon to profit hugely from a potential ascent in a set of uses. At long last, the report gives subtleties of serious advancements, for example, developments, understandings, new item dispatches, and acquisitions in the market for gauging, territorial interest, and gracefully factor, investment, market elements including specialized situation, consumer conduct, and end-use industry patterns and elements, capacity and spending were contemplated.

Radio Physics announce winning the security category in Prosegur’s “COME IN”, open innovation program. From amongst the more than 190 start-ups from 33 different countries, the winning companies will receive support from the different units at Prosegur, one of Spain's top security multinational, to develop and implement their projects worldwide. Radio Physics, a renowned provider of stand-off concealed threat detection, is pleased to announce winning the security category of the challenge aimed at finding security solutions with non-invasive methods for busy spaces or events. The winning proposal comprised Radio Physics’, Optracon concealed threat detection solution, a sensor system that uses a combination of radar, VCA, LiDAR and machine learning for the remote detection of hidden threats such as weapons or explosive devices. Threat detection solution Their talent, combined with the enormous potential of Prosegur's technological innovation Mark Pritchard, CCO said: “We are looking forward to forging a strong relationship with Prosegur. Working together using our state-of-the-art threat detection solution, Optracon, and Prosegur’s global reach to develop and implement our solutions worldwide, in collaboration with Prosegur's business units and their customers.” In the words of Prosegur's Director of Innovation, José Daniel García Espinel, "the excellent response to the program highlights the impetus of the start-up ecosystem. Their talent, combined with the enormous potential of Prosegur's technological innovation, have turned future security challenges into real projects that will reinvent the way we protect our environment." International experience and projection Furthermore, he referred to collaborative models as "in combination with Prosegur's international experience and projection, the formula for success to incorporate the external talent of start-ups and accelerate the "go to market" process, thus revolutionizing the security sector."

Smiths Detection announces its newest X-ray inspection system, HI-SCAN 5030C, that addresses a critical gap in commercial security screening solutions with its optimal size, durability and mobility. Combined with a HiTraX 3 electronic platform for superior image quality, the HI-SCAN 5030C is specifically designed to enhance security screening operations from courthouses to corporate campuses. Its compact size and lightweight construction enable it to fit seamlessly into checkpoints and mailrooms. Vibration absorbers make it possible to transport HI-SCAN 5030C between various locations without requiring re-calibration, providing maximum flexibility. Training and detection support The HI-SCAN 5030C is Smiths Detection’s smallest X-ray inspection system and offers a wide variety of options including stainless steel castors, storage compartment, 24” monitor, newly designed keyboard with image manipulation keys, and foldable input/output conveyors. It can be upgraded with add-on software packages for training and detection support. Matt Clark, Vice President, Technology, Smiths Detection said, “Our mission is to deliver the right solutions to help our customers achieve safety and security no matter what size or scale of their operations. The HI-SCAN 5030C fulfills an important role for a wide range of commercial applications, helping improve security with ease and efficiency. Engineering the HI-SCAN 5030C for mobility further maximizes its utility and versatility, enabling customers to share it or relocate it as required.”

According to the reports of not-for-profit organization Gun Violence Archive, the year 2018 has seen 323 mass shooting incidents as of November 28 in the United States. This number is 346 for the year 2017 and 382 for 2016 (more statistics are available here), with “mass shooting” defined as cases where four or more people are shot or killed in the same time period and location. While definitions of mass shooting vary with organizations in the US, the count of over 300 incidents per year, or about once per day on average, is simply alarming. It raises public safety concerns, ignites debates and protests, which in turn lead to public unrest and potentially more violence, and increases costs for governments from the regional to federal level. Most importantly, the loss of lives demands not only improvement in post-incident handling and investigation, but also new prevention technologies. Gunshot Detection Solutions AI weapon detection offers a more efficient alternative to prevent active shooting There are several gunshot detection solutions in the security market, commonly used by law enforcement agencies to detect and locate gun fires. These systems function based on acoustic recordings and analyses and often in combination with signals detected by sensors of the optical flash and shockwave when a gun is fired. However, gunshot detection by nature dictates that the law enforcement can only react to a shooting incident that has occurred. With fast action, law enforcement can prevent the incident from escalating, but lives that are lost cannot be recovered. With the development of artificial intelligence in object recognition, AI weapon detection offers a more efficient alternative to prevent active shooting: AI can visually detect guns based on their shapes before they are fired. The AI is trained to recognize firearms in different shapes, sizes, colors, and at different angles in videos, so that the AI weapon detector can be deployed with existing cameras systems, analyze the video feeds, and instantly notify security staff when a gun is spotted. Comparison of the advantages for law enforcement and public security agencies Legacy gunshot detection using sensors AI weapon detection Reactive measure: detect after guns have been fired Proactive measure: detect before guns are fired Time to action: within 1 second Time to action: within 1 second Unable to provide visual data about shooter(s) Can provide data about shooter(s) based on the camera recording: clothing, luggage (backpack, handbag, etc.), facial features, vehicle Unable to track the location of the shooter(s) before and after shooting because of the lack of sound Can track the shooter(s) using AI Person & Vehicle Tracking, AI Face Recognition, and AI License Plate Recognition False detection caused by similar sound such as fireworks and cars backfiring Minimal to no false detection, as AI can distinguish different types of handguns and rifles from normal objects (umbrella, cellphone, etc.) Require physical deployment of gunshot detection sensors Can be used with existing camera systems, do not require special hardware Complicated to deploy, require highly trained professional Easy to deploy as an add-on to existing video surveillance system - Can integrate with gun-shot detection to create a “double knock” audio and video active shooter alert system Gun-Shot Detection Advantages In addition to advantages for law enforcement and public security agencies, this type of visual-based pre-incident detector has three-fold advantages for the public: Save lives by spotting the shooter before the shooting event. Minimize the chaos entailing an incident: panic and chaos caused by a shooting incident often adds to injury, as people run, fall, trample on others… With an AI weapon detector, when a gun is spotted, the system sends an alert to security staff, who can quickly control the situation in an organized manner and apprehend the intending shooter. Can be added as a SaaS (Security as a Service) component to small business and home surveillance systems, e.g., intrusion detection alerts (home invasion incidents with firearms number over 2500 per year nationwide). For a complete active shooter detection system, video-based AI detector can operate in conjunction with gunshot detectors for enhanced security. Traditional X-ray based weapon detection or metal detection entrance systems are complicated and expensive; with AI video technology, active shooter detection system can be cost-effective, and after all, what price tag can one put on a life? Written by Paul Sun and Mai Truong, IronYun

It amazes me how in a few short years security systems have gone from simple, dumb cameras witnessing events to intelligent eyes, ears, speech and touch solutions that boost situational awareness far beyond human capabilities. It seems the only senses missing from the equation now are smell and taste. And who knows, someone might be working on those in a lab somewhere right now. But what’s really fascinating to me is how the Internet of Things (IoT) has opened a world of possibilities for transforming security technology into something new yet again. With IoT we’re able to push and pull nuggets of intelligence from sources we never considered before: environmental sensors, pressure plates, door lock timers and much more. It’s helped us break through the constraining mindset that security systems are strictly single-purpose. With interconnectivity at the core, we’re starting to imagine myriad ways to apply these tools to challenges outside the realm of security. Here are just a few examples. Flood Management Assistance Network camera adds another dimension and timeliness to flood management by helping responders investigate remotely As recent hurricanes and floods have shown, water damage can be devastating to a community. That’s why some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem. Water sensors collect data from multiple sources such as rain gutters, sewer systems and pump stations, in order to monitor fluctuations in water levels and water quality. If an alert triggers, having a network camera in proximity to visually verify the situation helps responders determine the best course of action. For instance, if multiple water detection sensors trigger alerts simultaneously or sequentially over a large area it’s probably due to natural runoff from recent rainfall. But without eyes on the scene, how can you be sure? Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely. It might be a fire hydrant spewing water, a water main break or even a chemical spill. With video streaming live to the command center, staff can remotely inspect the area, determine the cause of the trigger and decide whether remediation is required, thus avoiding the expense of dispatching an investigative crew to a non-event. Some municipalities are using their city surveillance cameras in conjunction with water sensor to proactively address the problem Environmental Control Assistance Data centers house the lifeblood of a business so it’s no wonder why companies work hard to protect them. We’re all familiar with the integration of network cameras with access control systems to visually verify who is actually using the credentials. Network camera adds another dimension and timeliness to flood management by helping responders investigate and identify the cause of a trigger remotely But there’s another aspect to protecting data centers and that’s environment control. Data centers need to maintain optimum humidity and temperature for the racks of electronics. When environmental sensors in the facility detect out-of-norm ranges technicians can remotely command a network camera to zoom in on the gauges and help them determine whether remediation might be necessary. Coupling network cameras with other sensors in the data center can provide visual confirmation of other conditions as well. For instance, every time a data rack door-open-close sensor detects an event it can trigger the camera to pan to the location and stream video to security. Some data centers employ weight sensors at the doorway to weigh personnel and equipment as they enter the room and when they exit to ensure no additional hardware is being taken out of the facility or left inside without permission. Any discrepancy would trigger the camera to zoom in for a close-up of the individual’s face and send a visual alert and ID information to security. Roadway Management And Parking Assistance Network cameras have long played a part in city-wide traffic management. Adding video analytics and integration with network sensors, makes those cameras that much smarter and versatile. They can detect cars driving in bike lanes or driving in the wrong direction and capture license plates of offenders. Their ability to detect anomalous traffic flow patterns can be integrated with car counting sensors, networked electronic road signs and traffic light systems to automatically redirect vehicles to alternate routes. They make great, intelligent parking lot attendants, too. Working in conjunction with weight sensors network cameras can count vehicles coming into and leaving a lot or garage and verify when the facility has reached capacity. License plate recognition and video analytics can be used to ascertain that a vehicle entering a reserved parking space doesn’t match the credentials and vehicle attributes in the database. With the addition of noise sensors and audio analytics, network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds – breaking glass, car alarms, gun shots, and aggressive speech – and triggering a visual alert to first responders. Network cameras can improve roadway and parking facility safety by detecting and identifying specific sounds and triggering a visual alert to first responders Shopper Experience Assistance In the early days of online shopping, e-tailers designed their sites to replicate the in-store customer experience. In an ironic turn of events, today brick-and-mortar stores are trying to mirror the online shopping experience. To do so, they’re turning their security systems into adjunct sales assistance. With network video and audio system automation they can recognize and acknowledge loyal customers with personal greetings. Retailers are applying people counting video analytics to checkout activity to create rules-based consistency in customer service With heatmapping analytics they can measure how much time a customer spends in a specific department or observe how they walk through the aisles of the store. They can track shopping behaviors such as items looked at that made it into the cart or didn’t, or whether a customer actually checked out or left the merchandise behind. By capturing these shopping patterns and trends retailers can shape a more positive, more profitable customer shopping experience. For instance, integrating video analytics with point of sale systems and RFID sensors on merchandise tags can result in timely alerts to sales associates to recommend additional merchandise. This is a case of emulating how e-tailers let the customer know that other customers who bought X often also purchased items Y and Z. Or to avoid disappointing customers due to stock outages, retailers are linking weight sensors and video analytics to make sure their shelves are well-stocked and if not, quickly alert associates to what items need to be restocked. Capturing Business Intelligence Retailers are also using video cameras to monitor checkout queues and trigger automated announcements over the public-address system, closed system such as smartphones or other wireless communications devices that checkers are needed rather wait for a person to call for backup. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs They’re applying people counting video analytics to checkout activity to create rules-based consistency in customer service. While retailers will always use their surveillance camera for loss prevention, they’re finding that integrating traditional technology in new ways can yield even bigger returns. Linking network video surveillance, video analytics, network communications system and sensors with point-of-sale systems and customer loyalty databases, retailers are capturing the business intelligence they need to get back in the game and make brick-and-mortar a greater overall experience than online shopping. A Natural Cross-Over Technology This trend towards integration has forever changed how organizations view their investment in security technology. The intelligence and versatility of a tool that can see, verify and analyze what’s happening in real-time is spurring users to tap its cross-over potential for a host of other tasks that could benefit from more astute situational awareness – everything from manufacturing and equipment maintenance to logistics, inventory control and beyond. IoT laid the groundwork for network security solutions to seamlessly integrate with other IP-based technologies, sensors and programs. How we capitalize on that connection is only limited by our imagination.

Audio is often overlooked in the security and video surveillance industry. There are some intercom installations where audio plays a key role, but it’s not typically thought about when it comes to security and event management. Audio takes a back seat in many security systems because audio captured from a surveillance camera can have a different impact on the privacy of those being monitored. Audio surveillance is therefore subject to strict laws that vary from state to state. Many states require a clearly posted sign indicating audio recording is taking place in an area before a person enters. Analytic information derived from audio can be a useful tool and when implemented correctly, removes any concerns over privacy or legal compliance. Audio analytics on the edge overcomes legal challenges as it never passes audio outside of the camera Focused Responses To Events Audio analytics processed in the camera, has been a niche and specialized area for many installers and end users. This could be due to state laws governing audio recording, however, audio analytics on the edge overcomes legal challenges as it never passes audio outside of the camera Processing audio analytics in-camera provides excellent privacy since audio data is analysed internally with a set of algorithms that only compare and assess the audio content. Processing audio analytics on the edge also reduces latency compared with any system that needs to send the raw audio to an on-premises or cloud server for analysis. Audio analytics can quickly pinpoint zones that security staff should focus on, which can dramatically shorten response times to incidents. Audio-derived data also provides a secondary layer of verification that an event is taking place which can help prioritise responses from police and emergency personnel. Microphones And Algorithms Having a SoC allows a manufacturer to reserve space for specialized features, and for audio analytics, a database of reference sounds is needed for comparisonMany IP-based cameras have small microphones embedded in the housing while some have a jack for connecting external microphones to the camera. Microphones on indoor cameras work well since the housing allows for a small hole to permit sound waves to reach the microphone.  Outdoor cameras that are IP66 certified against water and dust ingress will typically have less sensitivity since the microphone is not exposed. In cases like these, an outdoor microphone, strategically placed, can significantly improve outdoor analytic accuracy. There are several companies that make excellent directional microphones for outdoor use, some of which can also combat wind noise. Any high-quality external microphone should easily outperform a camera’s internal microphone in terms of analytic accuracy, so it is worth considering in areas where audio information gathering is deemed most important. Surveillance cameras with a dedicated SoC (System on Chip) have become available in recent years with in-built video and audio analytics that can detect and classify audio events and send alerts to staff and emergency for sounds such as gunshots, screams, glass breaks and explosions. Having a SoC allows a manufacturer to reserve space for specialized features. For audio analytics, a database of reference sounds is needed for comparison. The camera extracts the characteristics of the audio source collected using the camera's internal or externally connected microphone and calculates its likelihood based on the pre-defined database. If a match is found for a known sound, e.g., gunshot, explosion, glass break, or scream, an event is triggered, and the message is passed to the VMS. If a match is found for a known sound, e.g., gunshot, explosion, glass break, or scream, an event is triggered, and the message is passed to the VMS Configuring A Camera For Audio Analytics Audio DetectionThe first job of a well-configured camera or camera/mic pair is to detect sounds of interest while rejecting ancillary sounds and noise below a preset threshold. Each camera must be custom configured for its particular environment to detect audio levels which exceed a user-defined level. Since audio levels are typically greater in abnormal situations, any audio levels exceeding the baseline set levels are detected as being a potential security event. Operators can be notified of any abnormal situations via event signals allowing the operator to take suitable measures. Finding a baseline of background noise and setting an appropriate threshold level is the first step. Noise ReductionA simple threshold level may not be adequate enough to reduce false alarms depending on the environment where a camera or microphone is installed. Noise reduction is a feature on cameras that can reduce background noise greater than 55dB-65dB for increased detection accuracy. Installers should be able to enable or disable the noise reduction function and view the results to validate the optimum configuration during setup. With noise reduction enabled, the system analyzes the attenuated audio source. As such, the audio source classification performance may be hindered or generate errors, so it is important to use noise reduction technology sparingly. Audio Source ClassificationIt’s important to supply the analytic algorithm with a good audio level and a high signal-to-noise ratio to reduce the chance of generating false alarms under normal circumstances. Installers should experiment with ideal placement for both video as well as audio. While a ceiling corner might seem an ideal location for a camera, it might also cause background audio noise to be artificially amplified. Many cameras provide a graph which visualises audio source levels to allow for the intuitive checking of noise cancellation and detection levels. Messages And EventsIt’s important to choose a VMS that has correctly integrated the camera’s API (application programming interface) in order to receive comprehensive audio analytic events that include the classification ID (explosion, glass break, gunshot, scream). A standard VMS that only supports generic alarms, may not be able to resolve all of the information. More advanced VMS solutions can identify different messages from the camera. Well configured audio analytics can deliver critical information about a security event, accelerating response times and providing timely details beyond video-only surveillance.  Analytics take privacy concerns out of the equation and allow installers and end users to use camera audio responsibly. Hanwha Techwin's audio source classification technology, available in its X Series cameras, features three customizable settings for category, noise cancellation and detection level for optimum performance in a variety of installation environments.

During the Parkland, Florida, school shooting in 2018, the shooter was caught on a security camera pulling his rifle out of a duffle bag in the staircase 15 seconds before discharging the first round. However, the School Resource Officer didn’t enter the building because he wasn’t confident about the situation, and the Coral Springs Police Department had no idea what the shooter even looked like until 7 minutes and 30 seconds after the first round was fired. If the video system had included technology to recognize the gun threat in real time, alerts could have been sent to the security team. An announcement could have been made right away for all students and faculty in Building 12 to barricade their doors, and law enforcement could have responded a lot faster to a real-time feed of timely and accurate information. Automatically Recognizing Gun Threats Actuate offers such a technology, which the company says enables existing security cameras to automatically recognize gun threats and notify security in real-time. The technology is centred around a convolutional neural network (CNN) that aims to replicate how a human brain would process information. This neural network is trained to recognize what hands holding a firearm look like from hundreds of thousands of images in a proprietary data set. The technology is centred around a CNN that aims to replicate how a human brain would process information Over time, the system is able to mathematically calculate what a gun threat in a security camera feed looks like with a high degree of accuracy (well over 99% detection accuracy within the first 5 seconds), according to Actuate. “Active shooter situations are often marred by chaos and confusion,” says Sonny Tai, Chief Executive Officer of Actuate. “People are in fight-or-flight response and prioritize immediate survival instead of reaching for their phones and calling 911. When the 911 calls are made, callers often provide delayed, conflicting, and inaccurate information, inhibiting law enforcement’s ability to respond.” Enhances Law Enforcement Response Tai says Actuate helps to clear up that chaos and confusion. He says: “It provides visual intelligence of the location of the shooter, what they look like, what direction they’re heading, and what they’re armed with. This real-time information enhances law enforcement response and enables building occupants to make critical decisions that maximize survivability." AI methods including deep learning enable high levels of accuracy in detecting weapons in real-time camera footage Tai is a Marine Corps veteran and a social entrepreneur who co-founded Actuate with the mission of addressing America’s gun violence epidemic. The start of the company stems from Tai’s upbringing in South Africa, where gun violence rates are some of the highest in the world. Growing up, several of his family friends were personally impacted, resulting in a lifelong passion for the issue of gun violence. In early 2018, Tai interviewed dozens of law enforcement leaders across the country and found that their biggest challenge in gun violence response was the lack of timely and accurate information. Actuate mitigates that challenge and enables both first responders and security staff to respond more rapidly, he says. More Than 99% Accuracy In Detecting Weapons Actuate's solution is completely AI-based, says Ben Ziomek, Chief Product Officer. AI methods including deep learning enable high levels of accuracy in detecting weapons in real-time camera footage. “Legacy, non-AI based solutions generally rely on older methods like motion detection, which is not reliable in differentiating between objects such as phones and firearms,” says Ziomek. “Our AI solution lets us achieve more than 99% accuracy in detecting weapons with an exceptionally low false-positive rate.” Ziomek runs engineering, data science, and operations for Actuate. Before joining the firm, he led teams of AI engineers and data scientists at Microsoft, leveraging AI to identify high-potential startups globally. Actuate is a software-only solution that plugs into existing security camera hardware and software, including video management systems (VMS). Existing capabilities of a customer’s VMS does initial, basic analysis and then routes the remaining video to Actuate’s processing units for AI analysis. Alerts can then be sent back however a customer wants, including through a VMS. Actuate can also feed information into a PSIM or command-and-control system if requested by a customer. Equipping Customers With AI Tools As an early-stage company, Actuate is pursuing customers through multiple routes, including directly to end-users and via security integrators, distributors, and dealers. They are currently deployed at diverse customer sites including schools, office buildings, industrial facilities, and public buildings, says Ziomek. Our current focus for the company is to get our technology into the hands of as many customers as possible “Our current focus for the company is to get our technology into the hands of as many customers as possible,” says Ziomek. “We are working closely with customers across segments and industries to equip them with the tools they need to make their spaces safer. We’re currently working on educating the market on our offerings, as this technology is very new to many security organizations.” There are no privacy or compliance concerns because Actuate stores no customer data until a weapon is detected, and even then the data is not cross-indexed with any sensitive information, says Ziomek.

According to the reports of not-for-profit organization Gun Violence Archive, the year 2018 saw 323 mass shooting incidents as of November. This number is 346 for the year 2017 and 382 for 2016, with ‘mass shooting’ defined as cases where four or more people are shot or killed in the same time period and location. A variety of gunfire detection solutions and other technology approaches seek to address the problem. ShotSpotter SiteSecure and ShotSpotter SecureCampus provide critical outdoor infrastructure protection against active shooter attacks. SiteSecure delivers critical information such as the number of shots fired, a detailed map of the airport or transportation facility, with the shooting location clearly identified. SiteSecure also provides law enforcement and transportation facility management with real-time information that can be useful to identify and address false alarms and reduce mass panic. Gunfire Detection And Precise Shooter Location ShotSpotter SecureCampus solution is a gunfire detection system designed to provide outdoor coverage at university and school campuses. Designed for college campuses and K-12 schools, SST SecureCampus provides gunfire detection, precise location, and number of shooters to first responders and school personnel, enabling faster response to an incident. Designed for college campuses and K-12 schools, ShotSpotter SecureCampus provides gunfire detection Data capture form to appear here! Gunshot detection can offer tremendous benefits in mitigating active shooting incidents occurring in a public facility or commercial environment. Data shows that active shooter attacks often begin outside a building and then progress indoors. Thus, the first line of defense for security professionals lies outside a facility, in a zone of protection surrounding it or comprising the entire outdoor area of a larger facility of many buildings. Audio Solutions for Perimeter Security Video cameras are effective surveillance tools in the event of a shooting incident, but they are not able to capture everything. Deploying audio solutions can automatically flag incidents not caught on camera, as well as alert central station guards of what surveillance zones need to be closely monitored. Audio analytics solutions for aggression and gunshot detection are some of the best security tools in the security market when it comes to detection, intervention and deterrence. They are the next generation of monitoring; equipping security teams with critical information and enhancing perimeter security. End users can identify high-risk situations in real-time and prevent acts of physical aggression before they happen Aggression detectors are capable of accurately recognizing duress in a person’s voice. The software automatically and objectively detects the presence of rising human aggression, anger or fear, and subsequently warns staff by a visual alert or alarm trigger. As a result, end users can identify high-risk situations in real-time and prevent acts of physical aggression before they happen. Artificial Intelligence To Detect Weapons A gunshot detector recognizes firearm discharge from various firearms in different settings. Within seconds of a gunshot, the software accurately classifies and triggers an immediate notification through a designated VMS. Security staff can then verify the alert, effectively reducing the reaction time of first responders. With the development of artificial intelligence (AI) in object recognition, AI weapons detection offers an efficient alternative to gunshot detection to prevent active shooting: AI can visually detect guns based on their shapes before they are fired. The AI is trained to recognize firearms in different shapes, sizes, colors, and at different angles in videos, so that the AI weapon detector can be deployed with existing camera systems, analyze the video feeds, and instantly notify security staff when a gun is spotted. Audio analytics, processed inside a video camera, are another approach that can quickly pinpoint zones that security staff should focus on, which can dramatically shorten response times to incidents. Audio-derived data also provides a secondary layer of verification that an event is taking place which can help prioritize responses from police and emergency personnel.   Detecting Audio Levels And Alerting Operators The first job of a well-configured camera or camera/mic pair is to detect sounds of interest while rejecting ancillary sounds and noise below a preset threshold. Each camera must be custom-configured for its particular environment to detect audio levels which exceed a user-defined level. Since audio levels are typically greater in abnormal situations, any audio levels exceeding the baseline set levels are detected as being a potential security event. Operators can be notified of abnormal situations via event signals allowing the operator to take suitable measures Operators can be notified of any abnormal situations via event signals allowing the operator to take suitable measures. Finding a baseline of background noise and setting an appropriate threshold level is the first step. Well configured audio analytics can deliver critical information about a security event, accelerating response times and providing timely details beyond video-only surveillance. Analytics take privacy concerns out of the equation and allow installers and end users to use camera audio responsibly. Hanwha Techwin's audio source classification technology, available in its X Series cameras, features three customisable settings for category, noise cancellation and detection level for optimum performance in a variety of installation environments.

Gunshot detectors use digital microphones installed on (or in) buildings or along streets that listen for evidence of gunshots, provide near instantaneous notification, triangulate the location of shooters and direction of a shot, detect the type of gun and ultimately aid in catching fleeing suspects and solving crimes. Gunshot detection is just one technology playing a role in the larger trend by city agencies to improve core city services. Cities are turning to what are referred to as ‘smart city’ solutions – new, innovative technologies that improve and maintain a high quality of life and ‘liveability’ for citizens. Several cities in the United States have implemented gunshot detection systems. Identifying And Deterring Gun Violence ShotSpotter, a provider of gunshot detection solutions that help law enforcement officials and security personnel identify, locate and deter gun violence, announced that seven new cities have deployed ShotSpotter technology in their communities. Gunshot detection systems can shorten the response time in an active shooter situation The new cities include Cincinnati, OH; Jacksonville, FL; Louisville, KY; Newburgh, NY; Pittsfield, MA; Syracuse, NY and St. Louis County, MO – joining the more than 90 jurisdictions that rely on ShotSpotter to ensure a fast, accurate response to gunfire incidents. Three existing ShotSpotter cities, New York City, Chicago and Birmingham have also recently expanded their coverage areas. Gunshot detection systems can shorten the response time in an active shooter situation. Early detection should be a primary aim, second only to prevention. Security professionals must be part of both of these areas, working in partnership with relevant administrators, local government, law enforcement, first responders and the community to help prevent and better respond to gun violence. Gunshot Localization Solution In addition, active shooter events – large or small – are almost always sudden and unexpected, which places a burden on security personnel to manage these risks without creating a prison-like environment. A gunshot localization solution can turn a video camera system into a real-time safety system in the event of an active shooter A gunshot localization solution can turn a video camera system into a real-time safety system in the event of an active shooter. Called ShotPoint, the system is completely automated. Working with a video management system (VMS), it can enable a video image of an active shooter to be provided in seconds based on the location of a gunshot. ShotPoint is a network of sensors which can be mounted on walls, ceilings, streetlight poles or other indoor or outdoor locations. Using a ‘sensor mesh approach’, ShotPoint reliably detects and localizes the source of gunfire; ranging from small handguns to high caliber rifles. The system can cover large indoor or outdoor areas such as schools, office buildings, retail centers, campuses, and parks. Accurately Provides Gunshot Location Each sensor has an array of four acoustic channels (microphones) that can locate the source of a gunshot sound, the time of arrival and the time distance of arrival. ‘Hearing’ shots from several vantage points (using multiple sensors) enables the system to take into account the angle and time of the sound, which vary in different environments, thus accurately providing the location of the gunshot. A ‘fusion processor’ box (at the edge) listens to the various sensor nodes and computes the location of the gunshot, relative to a floorplan and/or based on global positioning system (GPS) location. In an outdoor location, additional information may also be inferred, such as the trajectory of the gunshot and/or the caliber of the firearm.

Rohde & Schwarz has installed Ireland’s first Quick Personnel Security (QPS) scanner at Kerry Airport, Farranfore, Ireland, delivering state-of-the-art technology that enables a high throughput, enhanced security, and increased safety for airport customers and staff. The airport has chosen the latest model, the latest generation R&S QPS201 launched earlier in 2020, becoming the first Rohde & Schwarz security scanner installation in Ireland. R&S QPS201 security scanner The R&S QPS201 security scanner by Rohde & Schwarz features enhanced second-generation algorithms that increase sensitivity to further boost threat detection while minimizing false alarms and reducing processing time. In addition to strengthening security, these performance gains reduce post-alarm manual checks and so help avoid physical contact to ensure social distancing. Moreover, a more efficient scanning time with R&S QPS201 balances the effects of incoming new X-ray inspection systems, which scan items inside baggage that previously had to be removed, such as laptops. The security scanner restores parity to baggage- and personnel-scanning times, helping security staff manage throughput at checkpoints and avoid excessive queuing. Rohde & Schwarz QPS scanners The Rohde & Schwarz QPS scanners are highly regarded by the air travel industry worldwide" “The Rohde & Schwarz QPS scanners are highly regarded by the air travel industry worldwide and the latest technology takes performance to an even higher level,” said Gary Walker of Rohde & Schwarz, adding “I am confident that Kerry Airport and its customers will appreciate the enhancements to service, security, and safety, and that others in Ireland will follow their lead.” Tom O’Driscoll, Chief Security Officer of Kerry Airport, commented “Now is the right time for this investment in the future of Kerry Airport, to meet the heightened expectations for safety and security within our industry. Having recently installed explosives detection systems for cabin baggage (EDS CB), we are proud to now also adopt this state-of-the-art technology in Ireland, which will set new standards for service and well-being.” R&S QPS201 was installed and setup at Kerry Airport with minimal disruption to daily activities. The system is designed to be easy to use, with intuitive graphical displays that require minimal training and let operators quickly achieve full proficiency. Integrated with millimeter-wave technology Leveraging Rohde & Schwarz expertise in millimeter-wave technology and utilizing machine-trained software algorithms, R&S QPS201 detects all types of potentially dangerous objects whether metal, ceramic, plastic, or liquid. The harmless low-energy millimeter-waves enable personal privacy to be maintained while capturing high-resolution data that enhances threat detection. The system allows an easy, hands-down posture for scanning, which is comfortable while at the same time ensuring effective screening for safety and security.

Leonardo delivered the first two M-345 jet trainer aircraft to the Italian Air Force, which to-date has ordered 18 units from a total requirement for up to 45 aircraft. The new type of jet trainer aircraft, designated T-345A by the Italian Air Force, will gradually replace the 137 MB-339s which have been in service since 1982. M-345 jet trainer aircraft Marco Zoff, Leonardo Aircraft Managing Director, said “Building on our heritage and expertise in jet trainers, the M-345 will allow our customers to achieve a significant improvement in training effectiveness while at the same time reducing operating costs. This first delivery to the Italian Air Force is a key milestone, the result of a longstanding and productive team working closely together with the operator.” The new M-345 jet trainer aircraft, designed to meet basic and basic-advanced training requirements, will complement the in-service M-346, which is used for advanced pilot training. Integrated training system Leonardo’s integrated training system developed around the M-345 platform is representative of the company’s technological leadership in training pilots to fly current and future generation aircraft. The system benefits from experience with, and technology developed for, the M-346, which includes a ‘Live Virtual Constructive’ capability. This allows aircraft which are flying live training missions to incorporate simulated ‘friend’ or ‘foe’ elements into scenarios, allowing the pilot to be exposed to the full range of possible operational situations. M-345 HET (High Efficiency Trainer) The new M-345 HET (High Efficiency Trainer) reduces the time required for air forces to train pilots The M-345 is a high-performance aircraft which supports a pilot’s transition from basic trainers to latest-generation fighters. The Italian Air Force’s acquisition of the new aircraft is an important step forward in the modernization of its fleet, with the M-345 replacing the MB-339A in Air Force’s second and third military pilot training phases. The M-345 has also been chosen as the new aircraft of the Italian Air Force’s acrobatic team, the ‘Frecce Tricolori’. The new M-345 HET (High Efficiency Trainer) reduces the time required for air forces to train pilots. It also gives trainees the chance to fly an aircraft that features higher performance characteristics than other basic/advanced trainer aircraft currently in service around the world. Delivering high quality training at low cost The performance of the M-345 allows it to carry out the most demanding mission types found in a training syllabus, delivering high quality training at significantly lower cost. The M-345 cockpit architecture is the same as that of frontline fighters. The aircraft is also able to perform operational roles, thanks to an extended flight envelope, with a high-speed maneuvering capability even at high altitudes, modern avionics systems, high load capacity and performance. Health and Monitoring Usage System The M-345 is designed with a long life-cycle and a two-level approach to maintenance The M-345 is designed with a long life-cycle and a two-level approach to maintenance, eliminating the need for expensive general overhauls. The aircraft’s Health and Monitoring Usage System (HUMS) also contributes to a lower cost of ownership. A sophisticated on-board training simulator confers a number of benefits. For instance, M-345 pilots are able to plan maneuvers before live training, allowing for higher efficiency during flight. Mission Planning and Debriefing Station Trainees are also able to fly in formation with other pilots in the air and those training on the ground in simulators, via a real-time data-link. The aircraft’s Mission Planning and Debriefing Station (MPDS) allow trainees to analyze the missions they have just flown. The M-345’s engine is a Williams FJ44-4M-34 turbo fan optimized for military and aerobatic use. The cockpit is based on HOTAS (Hands-On-Throttle-And-Stick) controls and features a glass cockpit with a three-color MFD (Multi-function Display) touch screen. The aircraft’s heads-up display is mirrored on a fourth screen in the rear seat.

ZeroEyes, the only AI-based platform focused solely on weapons detection, has been selected by the Kenosha Unified School District (KUSD) of Wisconsin to help improve security on its campuses. ZeroEyes proprietary solution ZeroEyes’ proprietary solution will identify visible guns if present and send alerts to school administrators and security personnel within three to five seconds, helping to stop violent threats before they occur. KUSD is the third-largest school district in Wisconsin, with over 21,000 students and 4,200 employees in 23 elementary schools, five middle schools, five high schools and five charter schools. Integration with IP security cameras ZeroEyes currently integrates with KUSD’s IP security cameras to help detect visible weapons and serve as a proactive measure to prevent any violent threats on campus. When ZeroEyes positively detects a weapon, the platform sends a notification to school administrators, school resource officers and local 911 dispatch, ensuring the school can enact security protocols and give first responders real-time information to help prevent active shooting tragedies and save lives. Enhancing staff and students’ security “It’s a grim reality that active shootings happen in schools across the country, and we’ve needed to understand and implement the solutions that can keep our students, staff and visitors safe,” said Kevin Christoun, Maintenance, Environmental and Safety Manager at KUSD. Kevin adds, “At KUSD, we have a multi-layered security approach that includes the most effective and innovative technologies and resources, and ZeroEyes’ platform clearly supports our strategy.” Weapons detection solution ZeroEyes proprietary and comprehensive datasets focus exclusively on weapons detection Founded by a group of former Navy SEALs and military veterans, ZeroEyes proprietary and comprehensive datasets focus exclusively on weapons detection, to actively monitor and detect for visible weapons. ZeroEyes also trains and collaborates with customers and local first responders to conduct extensive pilots before its solution is fully implemented. In the future, KUSD plans to roll out additional installations to remaining schools in the district. Effectively countering active shooting incidents “ZeroEyes was founded upon the realization that a proactive solution was needed to help keep people safe, with real-time information to adequately address violent threats and prevent mass shooting tragedies,” said Dustin Brooks, Vice President of Education at ZeroEyes. Dustin adds, “KUSD focuses on providing a safe and productive learning environment to its students and faculty, and we’re honored to provide a 24/7 solution that supports their goals.”

Bird Aerosystems, the developer of Airborne Missile Protection Systems (AMPS) and Airborne Surveillance, Information, and Observation (ASIO) solutions, has won a new contract in Central Europe. Under the contract, Bird Aerosystems will upgrade and improve the AMPS systems which were previously provided to the Czech Air Force. Bird’s AMPS are installed on the Czech Air Force Mi-17 helicopters and successfully and operationally deployed in different dangerous and complicated conflict zones, including Afghanistan. The overall program includes an upgrade to the MILDS UV detection sensors and the MCDU Mission computers provided by Bird Aerosystems as well as provision for future installation of Bird’s MACS (Missile Approach Confirmation Sensor). Air Force protection “We see this as a sign of proof for the operational value that Bird’s AMPS bring to the customer and are honored that the Czech Air Force chose to conduct an upgrade to the systems it is using for several years, in order to align with the latest developments and ensure optimal protection for its soldiers and personnel. Bird’s AMPS were deployed in various missions, including missions in Afghanistan – where the Czech Air Force was operating as part of the NATO forces,” said Ronen Factor, Co-Chief Executive Officer and Founder at Bird Aerosystems. He added: “We believe that this overall improvement will allow the Czech Air force to keep focusing on important operational missions while knowing that their force is protected.” Protection for military and civilian aircraft Bird Aerosystems’ Airborne Missile Protection System (AMPS) provides enhanced protection for military and civilian aircraft against all known Surface to Air Missiles (SAM), including MANPADS, Laser Beam Rider threats, and radar-guided missiles. AMPS automatically detect, verify, and foil SAM attacks through the effective use of countermeasure decoys (Flares and Chaff) or DIRCM that jam the missile’s IR seeker and protects the aircraft. AMPS is provided as a turn-key solution that includes installation design, installation, integration, certification, and support, and is certified by aircraft manufacturers.

Intelligent LiDAR sensor technology from OPTEX, a globally renowned sensor manufacturer, is helping to protect the Belfast Call Centre premises and employees of a Fortune 500 company. Redscan laser sensor The Redscan laser sensor, which was installed by ZEST Fire & Security, a fire and security systems specialist, was required by the company to increase security in private areas of the facility only accessible to authorized personnel. This area, however, is only separated from the rest of the office space by partition walls which leave a gap between the wall and ceiling. OPTEX LiDAR creates a ‘virtual’ detection area that cannot be seen by the naked eye and that can be easily adjusted to the site requirement using the configuration software. In this instance, the REDSCAN RLS-2020S creates a virtual wall between the top of the partition wall and the ceiling of the building, and monitors movement or objects being thrown from one side to the other. OPTEX LiDAR technology OPTEX LiDARs work by analyzing the speed, size and distance of the objects detected OPTEX LiDARs work by analyzing the speed, size and distance of the objects detected, meaning they track the objects within the detection area and understand the ratio size/distance of the object. This provides the ability to accurately detect a specific size of object either at a distance or close up. In the event of any movement being detected, a security alarm is raised, and alerts are immediately sent to the 24-hour on-site security team. Masaya Kida, Managing Director of OPTEX EMEA, says “OPTEX’s LiDAR technology delivers the greatest accuracy of detection. We are constantly working to improve our technology to provide the highest quality sensing solutions.” REDSCAN RLS-2020 series  Masaya adds, “Thanks to the high sensitivity and high-speed detection of the Redscan LiDAR sensor, it is able to detect a thrown object as small as a USB stick. The exact point of detection can also be mapped and associated with the cameras monitoring this area.” Justin Doherty, Director at Zest Fire & Security, said, “OPTEX provided us with great support and service throughout. The client was very pleased with the speed and simplicity of the installation, and is very happy with the performance of this new solution.” REDSCAN RLS-2020 series provides 95° detection and either 20x20m or 30m radius detection range and PoE connectivity.

Patriot One, developer of the PATSCAN Multi-Sensor Covert Threat Detection platform, is pleased to announce a collaboration partnership with Los Angeles Football Club (LAFC), part of Major League Soccer (MLS), to pilot its PATSCAN platform at Banc of California Stadium. Threat and intrusion detection “We are excited to announce this PATSCAN pilot deployment project with another U.S. major sport franchise,” said Martin Cronin, Patriot One CEO and president, adding “In the New Year, our installation team will begin work with the Los Angeles Football Club and Banc of California Stadium on this important game safety initiative. MLS fans will enjoy an added layer of security while attending their favorite team’s home games in Southern California”. Martin further said, “Our vision is to not only to create a world safe from acts of violence, but also to help save a way of life people have come to expect in their normal everyday lives, and that includes participating in professional sports and entertainment activities with their fellow fans.” PATSCAN Multi-Sensor Covert Threat Detection The PATSCAN Multi-Sensor Covert Threat Detection platform will ship in January 2020 to the security team at LAFC The PATSCAN Multi-Sensor Covert Threat Detection platform will ship in January 2020 to the security team at Los Angeles Football Club, where they will be joined by Banc of California Stadium security and Patriot One implementation engineers to begin the integration and pilot deployment project.  Specific location of the Platform’s deployment will not be disclosed. “Customer safety is our number one priority at Banc of California Stadium,” said LAFC Vice President of Information Technology Christian Lau. “We are excited to work with Patriot One to give customers an extra layer of security while attending events at our world-class venue in the heart of Los Angeles.” Stadium security Following the initial pilot deployment of the PATSCAN platform with LAFC at an undisclosed location within Banc of California Stadium, Patriot One will work with the team and stadium management to broaden deployment throughout the complex.

The new school year is a good time to reflect on the role of security in protecting our schools. From video to access control to some newer technologies, our Expert Panel Roundtable found plenty to talk about when we asked this week’s question: How does security technology make our schools safer?

A big trade show, such as the upcoming ISC West, has a lot to offer for attendees. How can attendees maximize the value they get out of ISC West? For advice, we go to our Expert Panel Roundtable, all seasoned veterans of many big trade shows. Specifically, we asked the panel: How can attendees get the most out of a big trade show like ISC West?