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Securing Mobile Vehicles: The Cloud and Solving Transportation Industry Challenges
Securing Mobile Vehicles: The Cloud and Solving Transportation Industry Challenges

Securing Intelligent Transportation Systems (ITS) in the transportation industry is multi-faceted for a multitude of reasons. Pressures build for transit industry players to modernise their security systems, while also mitigating the vulnerabilities, risks, and growth-restrictions associated with proprietary as well as integrated solutions. There are the usual physical security obstacles when it comes to increasingly integrated solutions and retrofitting updated technologies into legacy systems. Starting with edge devices like cameras and intelligent sensors acquiring video, analytics and beyond, these edge devices are now found in almost all public transportation like buses, trains, subways, airplanes, cruise lines, and so much more. You can even find them in the world’s last manually operated cable car systems in San Francisco. The next layer to consider is the infrastructure and networks that support these edge devices and connect them to centralized monitoring stations or a VMS. Without this layer, all efforts at the edge or stations are in vain as you lose the connection between the two. And the final layer to consider when building a comprehensive transit solution is the software, recording devices, or viewing stations themselves that capture and report the video. The challenge of mobility However, the transportation industry in particular has a very unique challenge that many others do not – mobility. As other industries become more connected and integrated, they don’t usually have to consider going in and out or bouncing between networks as edge devices physically move. Obviously in the nature of transportation, this is key. Have you ever had a bad experience with your cellular, broadband or Wi-Fi at your home or office? You are not alone. The transportation industry in particular has a very unique challenge that many others do not – mobility Can you trust these same environments to record your surveillance video to the Cloud without losing any frames, non-stop 24 hours a day, 7 days a week, 365 days a year? To add to the complexity – how do you not only provide a reliable and secure solution when it’s mobile, traveling at varying speeds, and can be in/out of coverage using various wireless technologies? Waiting to upload video from a transport vehicle when it comes into port, the station, or any centralized location is a reactive approach that simply will not do any longer. Transit operations require a more proactive approach today and the ability to constantly know what is going on at any given time on their mobile vehicles, and escalate that information to headquarters, authorities, or law enforcement if needed; which can only occur with real-time monitoring. This is the ultimate question when it comes to collecting, analyzing, and sharing data from mobile vehicles – how to get the video from public transportation vehicles alike to headquarters in real time! Managing video data In order to answer this question, let’s get back to basics. The management and nature of video data differs greatly from conventional (IT) data. Not only is video conducted of large frames, but there are specific and important relationships among the frames and the timing between them. This relationship can easily get lost in translation if not handled properly. This is why it’s critical to consider the proper way to transmit large frames while under unstable or variable networks. The Internet and its protocols were designed more than two decades ago and purposed for conventional data. Although the Internet itself has not changed, today’s network environments run a lot faster, expand to further ranges, and support a variety of different types of data. Because the internet is more reliable and affordable than in the past some might think it can handle anything. However, it is good for data, but not for video. This combination makes it the perfect time to convert video recording to the Cloud! Video transmission protocol One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet. ITS are in dire need for reliable transmission of real-time video recording. To address this need a radical, yet proven, video transmission protocol has recently been introduced to the market. It uses AI technology and to adapt to different environments in order to always deliver high quality, complete video frames. This protocol, when equipped with encryption and authentication, enables video to be transmitted reliably and securely over the Internet in a cloud environment. One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet Finally, transportation industry has a video recording Cloud solution that is designed for (massive) video that can handle networks that might be experiencing high error rate. Such a protocol will not only answer the current challenges of the transportation industry, but also make the previously risky Cloud environment safe for even the most reserved environments and entities. With revolutionary transmission protocols, the time is now to consider adopting private Cloud for your transportation operations.

Trends And Challenges We Will See In The AI-driven Security Space In 2021
Trends And Challenges We Will See In The AI-driven Security Space In 2021

For decades, the nature of global safety has been evolving. From physical security threats like large-scale terrorist attacks and lone actor stabbings to chemical threats such as the Salisbury poisonings and even microbiological threats such as COVID-19, new challenges are constantly arising and the threat landscape we operate in today is constantly changing. Compounding the complexity of the security issues is the complexity and nature of attacks. With the economic downturn, there is the traditional rise in theft, violence and other crimes. Compound this with unmanned businesses and work-at-home staff, and there is a perfect storm for a rise in security threats. Artificial intelligence (AI) and specifically the branch of AI known as machine learning (ML), was already causing widespread disruption in many industries, including the security industry. AI has been a driving force to replace labor-based business models with integrated data and actionable intelligence that is context-aware. It has become apparent that AI will play a big part in the ongoing fight against both pandemics such as COVID-19, as well as other threats that we may face in the future. With all of this in mind, 2021 is poised to be a big year for AI growth. While AI is going to continue to impact our lives in dozens of ways, from smart sensors to face mask compliance detection, the following reflects a few top trends and challenges that I have my eye on for 2021 as we close out this year. The rise of smart city investments One such example is the increasing development of smart cities and how AI can be leveraged to build safe communities. To date, we’ve seen an increase in the number of smart city programmes around the globe; cities that are beginning to deploy innovative technologies for the management and ease of life services. Compounding the complexity of the security issues is the complexity and nature of attacks Typical development of a city includes standard infrastructure - roads, schools, power, water, transportation. Now, internet, data and AI capabilities are part of the standard infrastructure requirements for all new developments. AI promises to deliver increased efficiencies with the infrastructure that will accommodate growing populations while reducing our impact on the environment, resources, and communities. Global cities now account for more than half of the world’s population, and the United Nations projects the number to balloon to 68% by mid-century. Owing to both demographic shifts and overall population growth, that means that around 2.5 billion people could be added to urban areas by the middle of the century, predicts the UN Department of Economic and Social Affairs (DESA). With an increase in population has come an increase in global spending on smart city initiatives to drive down the impact of growing urban concentration. Global spending on smart city initiatives is expected to total nearly $124 billion this year, an increase of 18.9% over 2019, according to IDC's Worldwide Semiannual Smart Cities Spending Guide, while Singapore, Tokyo, London and New York as the big spenders - expected to spend more than $1 billion in 2020. Using AI-driven technology to create safer public and private spaces Today, security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments to protect the population in a more efficient, and accurate manner. As we look ahead to the future of public safety, it’s clear that new AI technology can dramatically improve the effectiveness of today’s physical security space. One such deployment is the use of video object recognition/computer vision software that can be integrated into existing video monitoring security (VMS) systems. These enhanced VMS systems can be deployed both inside and outside of buildings to identify risks and flag threats, such weapons, aggressive behaviours, theft, and safety compliance. This helps to minimize the impact of a breach by an early alert to onsite security in real-time to the location and nature of the potential threat, allowing them to intervene before a loss occurs. These same AI-enabled video solutions can similarly be used to provide advanced business operations in retail, logistics, and manufacturing organizations. Multi-sensor security solutions Also, targeted magnetic and radar sensor technologies, concealed in everyday objects like planter boxes or inside walls, can now scan individuals and bags entering a building for concealed threat objects. Using AI/machine learning, these two sensor solutions combined can identify metal content on the body and bag and match the item to a catalog of threat items, such as guns, rifles, knives and bombs. Security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments Without this advanced multi-sensor solution, it becomes nearly impossible to discover a weapon on a person's body before it appears in an assailant’s hands. This multi-sensor solution allows for touchless, unobtrusive access to a building, but allows for immediate notification to onsite security when a concealed threat is detected. The hidden technology thus empowers security staff to intercept threats before they evolve into a wider scale attack, while also maintaining the privacy and civil liberties of the public, unless, of course, they are carrying a concealed weapon or pose a physical threat. With the advent of sophisticated surveillance and technological innovation, a level of caution must be exerted. Despite the ongoing global debate, there remains little regulation about the use of AI technologies in today’s physical security space. One thing is certain; it must be deployed in the right place, at the right time, with the right privacy and civil liberty protection objectives. People don’t want to be protected by omnipresent, obstructive and overbearing security systems that infringe on their privacy and civil liberties. They want a proper balance between security and their current way of life, one that must be fused together. Technology and tracing COVID-19 Machine learning-based technologies are playing a substantial role in the response to the COVID-19 pandemic. Traditionally, the key purpose of surveillance systems has been to detect and deter threats, including the detection of visible and hidden weapons and abnormal behavior. While this, of course, remains a primary focus, today we are seeing how surveillance systems defend against new invisible threats, as well as rapidly automate the process of contact-tracing to capture and contain a virus before it spreads. Again, the ability to track and trace through parsing algorithms that can manage through enormous amounts of data provides a highly scalable and rapid response mechanism to control the spread of threats. AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact Although the threat may not be visible, it is just as destructive. By incorporating AI into existing technologies, government, healthcare and security professionals can monitor public spaces and environments through the combined use of digital and thermal video surveillance cameras and video management systems); just one of the solutions being explored. AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact. By Using AI-powered video analytic software, businesses can monitor face masks, social distancing and large gathering compliance and also detect elevated body temperature. Critically, technology must be capable of both identifying and tracking the virus but also be unobtrusive. An unobtrusive system that is adaptable enough to be deployed across a range of environments where the public gathers in enclosed spaces is necessary to be effective. Security in 2021 Technology has proven itself to be a valuable ally in times of crisis. For smart cities, the use of innovative AI/machine learning technologies will help optimize security solutions in areas that are brimming with potential. As we look ahead to the future of security in a world that is impacted by such a wide range of threats, from physical to chemical to microbiological, it’s clear that new technologies, specifically AI can dramatically improve the effectiveness of security systems and help us to better defend against a wide spectrum of threats. Technology has a huge role to play in making our communities safe in 2021 and beyond, but for security systems to be effective, they must not be oppressive or obstructive. This will ensure they have the full support of the public - the key to success.

5 Key Ways To Ensure End-to-end Perimeter Protection
5 Key Ways To Ensure End-to-end Perimeter Protection

Critical infrastructure facilities that must secure large areas with extended outer boundary and numerous entry points, present a particularly difficult challenge when it comes to perimeter protection. As such, true end-to-end perimeter protection calls for the utilization of a sophisticated, multi-layered solution that is capable of defending against anticipated threats. Integrated systems that incorporate thermal imaging, visible cameras, radar and strong command and control software are crucial for covering the various potential areas of attacks. Let’s look at these technologies and the five key functions they enable to achieve an end-to-end solution that provides intrusion detection, assessment and defense for the perimeter. 1. Threat Recognition The first step in effectively defending against a threat is recognizing that it’s there. By combining state-of-the-art intrusion detection technologies, facilities can arm themselves with a head start against possible intruders. An exceptionally important aspect of effective perimeter protection is the ability to conduct 24-hour surveillance, regardless of weather conditions, environmental settings, or time of day. Visible cameras do not perform as well in low light scenarios and inclement weather conditions. However, thermal imaging cameras can provide constant protection against potential intruders, regardless of visual limitations, light source or many environmental factors. In fact, facilities such as power stations located near bodies of water can use thermal cameras to create what is known as a “thermal virtual fence” in areas where they are unable to utilize the protection of a physical fence or wall. Deterring suspicious activity can be achieved through real-time two-way audio, a simple but powerful tool Critical infrastructure applications require not only continuous video surveillance and monitoring, but also a solution that yields highly reliable intrusion detection, with fewer false alarms. This need makes advanced video analytics a must for any adequate surveillance system. Features like dynamic event detection and simplified data presentation are game changing in supporting accurate intrusion analysis and facilitating a proactive response. Advanced analytics will provide multiple automated alarm notification options, including email, edge image storage, digital outputs or video management software (VMS) alarms. Incorporating high quality, unique and adaptive analytics can virtually eliminate false alarms, allowing security personnel to respond more efficiently and effectively, while also lowering overall cost for the end user. While surveillance technologies such as radar, thermal imaging and visible cameras, or video analytics work well on their own, utilizing all of these options together provides an advanced perimeter detection system. For example, ground surveillance radar can detect possible threats beyond the fence line as they approach and send a signal to pan-tilt-zoom (PTZ) cameras, triggering them to slew to a specific location. From there, embedded analytics and visible cameras can further identify objects, notify authorized staff, and collect additional evidence through facial recognition or high-quality photos. 2. Automatic Response Systems Once an intrusion attempt is discovered, it is important to act fast. Organizing a response system that can initiate actions based on GPS location data, such as the slewing of PTZ cameras, automated intruder tracking or activated lighting sensors, greatly increases staff’s situational awareness while easing their workload. For instance, thermal imagers deployed in conjunction with video analytics can be used to generate an initial alarm event, which can then trigger a sequence of other security equipment and notifications for personnel to eventually respond to. Having all of this in place essentially lays the entire situation out in a way that allows responders to accurately understand and evaluate a scene. Power stations located near bodies of water can use thermal cameras to create a “thermal virtual fence” in areas where they are unable to utilize the protection of a physical fence or wall 3. Deterring Suspicious Activity  After the designated auto-response mechanisms have activated and done their job, it is time for responders to acknowledge and assess the situation. From here, authorized personnel can take the next appropriate step toward defending against and delaying the threat. Deterring suspicious activity can be achieved through real-time two-way audio, a simple but powerful tool. Often, control room operators can diffuse a situation by speaking over an intercom, telling the trespasser that they are being watched and that the authorities have been notified. This tactic, known as ‘talk down’, also allows officers to view the intruder’s reaction to their commands and evaluate what they feel the best next step is. If individuals do not respond in a desired manner, it may be time to take more serious action and dispatch a patrolman to the area. 4. Delay, Defend, Dispatch And Handle The possible danger has been identified, recognized and evaluated. Now it is time to effectively defend against current attacks and slow down both cyber and physical perpetrators’ prospective efforts. Through the use of a well-designed, open platform VMS, security monitors can manage edge devices and other complementary intrusion detection and response technologies, including acoustic sensors, video analytics, access control and radio dispatch. A robust VMS also enables operators to control functions such as video replay, geographical information systems tracking, email alerts and hand-off to law enforcement. With the right combination of technologies, facilities can take monitoring and evidence collection to the next level The primary purpose of the delay facet of the overall perimeter protection strategy is to stall an attempted intrusion long enough for responders to act. Access control systems play a key role in realizing this objective. When a security officer sees a non-compliant, suspicious individual on the camera feed, the officer can lock all possible exits to trap them in one area all through the VMS. 5. Intelligence: Collect Evidence And Debrief More data and intelligence collected from an event equals more crucial evidence for crime resolution and valuable insight for protecting against future incidents. With the right combination of technologies, facilities can take monitoring and evidence collection to the next level. One innovative resource that has become available is a live streaming application that can be uploaded to smart phones and used for off-site surveillance. This app gives personnel the power to follow intruders with live video anywhere and allows operators to monitor alarm video in real-time. Geographic Information System (GIS) maps are computer systems utilized for capturing, storing, reviewing, and displaying location related data. Capable of displaying various types of data on one map, this system enables users to see, analyze, easily and efficiently. Multi-sensor cameras, possessing both visible and thermal capabilities, provide high-contrast imaging for superb analytic detection (in any light) and High Definition video for evidence such as facial ID or license plate capture. Integrating these two, usually separated, camera types into one helps to fill any gaps that either may normally have. Still, in order to capture and store all of this valuable information and more, a robust, VMS is required. Recorded video, still images and audio clips serve as valuable evidence in the event that a trial must take place to press charges. Control room operators can use data collection tools within their VMS to safely transfer video evidence from the field to the courtroom with just a few clicks of their mouse. More advanced video management systems can go a step further and package this data with other pertinent evidence to create a comprehensive report to help ensure conviction.

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New AVA & Northern Europe Study Reveals Increased Demand For Video Analytics Amongst CCTV System Owners
New AVA & Northern Europe Study Reveals Increased Demand For Video Analytics Amongst CCTV System Owners

Video Surveillance as a Service (VSaaS) innovator AVA Security found that more than four out of every five (82%) of IT, Operations, Facilities Management and Security systems decision-makers employed by medium and large-sized businesses, see a potential role for their workplaces’ video monitoring systems in supporting corporate plans for 'a safe return to the workplace post-lockdown’. Video monitoring systems This was perhaps the most significant finding of the security industry’s first multi-national study of COVID-19 video monitoring system usage and upgrade impacts. Questionnaires for this reached decision-makers during March when many of them were in the midst of making final arrangements for the safe return of staff to organizations’ offices and work premises later this summer. In the US, 90% of respondents saw a role for video monitoring systems in supporting a safe return to the office, while that percentage fell to 72% in the UK and went up to an average of 94% across Norway and Sweden. IT Cloud adoption AVA Security’s research also uncovered acceleration in cloud migration of IT services which looks set to positively impact VSaaS adoption. Nearly four out of every five US firms (79%) have already accelerated their cloud migration plans during the pandemic. More than half of those have already secured an increased IT budget in the financial year 2020/21 for moving additional services into the cloud. In the UK, over half (51%) have accelerated cloud migration of services over the last year, again with over half of those already benefitting from increased budgets to complete cloud migration projects. Sweden and Norway together had an average of 84% seeing an acceleration of cloud migration of services, with over two-thirds of this group confirming a new budget had already been assigned to this activity. VSaaS demand led by the US Over three quarters (76%) of US firms with video monitoring systems regarded VSaaS migration as a ‘net high priority’ (marking it as either ‘high priority’ or ‘somewhat a priority'). That percentage was even higher across Norway and Sweden’s respondents at 90%. However, in the UK VSaaS adoption was favored by just over half (51%) of security system decision-makers. Remote monitoring of assets AVA Security also revealed that four out of every five businesses predict an increase in remote monitoring of assets AVA Security also revealed that four out of every five businesses captured in its multi-national study, predict an increase in remote monitoring of assets, processes, and people on their work premises over the 12 months. There is no doubt that the spike in demand for remote management of systems and premises (because so many of us having to work from home) is set to continue apace: 78% of firms predicting that it was likely they would increase their remote management capability over the next 12 months. That figure was slightly higher in the US at 83% and only slightly lower in the UK at 72%. Cybersecurity AVA’s study also uncovered the fact that 79% of firms declared it likely that their organization would accelerate the migration of IT applications into the cloud over the next 12 months. The study also found that 80% of firms predicted an increased focus on cybersecurity for all networked devices and applications over the next 12 months. Vegard Aas, Head of Online Business at AVA Security, commented, “Increased demand for remote management of IT systems is naturally feeding through to demand for cloud-based IT services as those running systems focus on speed of access to data, as well as increased cybersecurity to protect network infrastructure.” Video set for deeper integration The top priority for improving and optimizing existing video monitoring systems on both sides of the Atlantic was to integrate them ‘better with other security-related systems, such as access control or alarm systems’ – nearly four of every five system owners (79%) considered this a high priority for improvement. The next highest priority (jointly), for 77% of system owners, was improving their ‘system’s resilience and backup systems and procedures and ‘GDPR compliance procedures’ surrounding their video monitoring/CCTV systems. Video analytics adoption People counting (including room capacity monitoring) is the most heavily deployed smart analytics tool right now on both sides of the Atlantic, the AVA study found. Across all four countries captured by the study, the average deployment of people counting stood at 43% of video systems. A further 32% of firms plan to deploy this video analytics capability in workplaces within the next 12 months. In the US, 54% of video system owners have already deployed people counting in their systems, whereas adoption is higher again in Norway and Sweden combined at 62%, although much lower in the UK at just 29%. Crowd density analytics People crowd density analytics runs a close second in terms of video analytics adoption People crowd density analytics runs a close second in terms of video analytics adoption, no doubt stimulated by COVID-19 safety requirements – 39% of organizations have already deployed this capability into their video surveillance systems. The US leads in terms of crowd density analytics usage with 57% of firms there using it, whereas a little less than half (44%) of Sweden and Norway-based video monitoring system owners have crowd density analytics capability. Only a quarter (26%) of UK system owners has so far deployed it. However, the UK is set to see a more than doubling of crowd density analytics deployments – 29% of system owners plan to deploy this in their video monitoring systems over the next 12 months. ANPR analytics user base Automatic License Plate Recognition (called License Plate Recognition outside the UK) has seen similar levels of deployment: 35% of system owners across all countries captured by this study have so far deployed ANPR/LPR. Sweden and Norway together lead with an average deployment of ANPR between them of 52%. In the US that number is only slightly lower at 43%. Again, the UK’s adoption of ANPR analytics lags at a quarter (25%) of system owners. ANPR analytics, the findings suggest, is set to see rapidly increased take-up, in some cases doubling in terms of market penetration over the next 12 months. So, in the US, a further 43% are set to put in LPR analytics into relevant surveillance cameras over the next 12 months, whereas in the UK an additional 22% plan to install ANPR capability into their existing CCTV systems by March 2022. Increased VSaaS adoption Our new study reveals increased take-up of remote management and cloud-based IT services Vegard Aas, Head of Online Business at AVA Security, confirmed, “Our new study reveals a plethora of changes focused on increased take-up of remote management and cloud-based IT services which all bode well for the accelerating adoption of VSaaS.” “Managers running video monitoring systems are looking for greater functionality which the next generation of video analytics can now deliver. Some specific video analytics like crowd density and room capacity analytics is enjoying a COVID-19- linked uplift in demand simultaneously.” “Security system owners are also clearly looking for the tighter cybersecurity of video data. They also want more timely access to that data from wherever they are to help drive faster and smarter decision-making.” Cloud Connector Ava Security launched its Cloud Connector offering to enable video security system owner’s easy and cost-effective transition of video security solutions to the cloud. This brings Ava’s advanced real-time analytics and proactive security to existing surveillance cameras by integrating with the open Aware Cloud platform.

Looking Back At 2020: Security Mergers And Acquisitions Continue Despite COVID-19
Looking Back At 2020: Security Mergers And Acquisitions Continue Despite COVID-19

Consolidation continued in the physical security marketplace in the turbulent year 2020. There were several mega-deals in addition to shuffling among small and medium-sized companies. Here is a sampling of M&A from this year, compiled from our archive of company news. With the changing economic climate, how much more is ahead in 2021? Stay tuned. Wesco merges with Anixter WESCO International, Inc., a provider of business-to-business (B2B) distribution, logistics services and supply chain solutions, announced it completed its merger with Anixter International Inc., creating a premier, global B2B distribution and supply chain solutions company. Anixter becomes a wholly owned subsidiary of WESCO International. ACRE acquires Razberi ACRE acquired Razberi Technologies, Farmers Branch, Texas, and the product line of intelligent video appliances, automated security software and health monitoring software will be added to and sold under the ComNet brand and portfolio of products. ComNet will now be selling Razberi products through its established channels. Motorola acquires IndigoVision Among the benefits is enhanced geographical reach across a wider customer base Motorola Solutions says the IndigoVision range of products, global presence and customer base are ‘highly complementary’ to Motorola Solutions' existing presence in video security. Among the benefits is enhanced geographical reach across a wider customer base. Motorola acquires Pelco “Pelco’s track record of innovation, internationally recognized brand, global channel and customer installed base enable us to further expand our global footprint with enterprise and public safety customers,” said Greg Brown, Motorola Solutions’ Chairman and CEO, about the iconic brand. Johnson Controls swallows Qolsys Qolsys Inc., residential and commercial security and smart-home manufacturer, enhances Johnson Controls global innovation platform, delivering next generation security and smart building solutions. JCI had already owned a majority stake in the company since 2014. ADT and Google Home partnership The partnership will combine Nest’s award-winning hardware and services, powered by Google’s machine learning technology, with ADT’s installation, service and professional monitoring network to create a more helpful smart home and integrated experience for customers across the United States. Upon the closing of Google’s equity investment in ADT, Google will own 6.6% of ADT’s outstanding aggregate common equity. Securitas acquires STANLEY in Five Countries The acquisition is aligned with Securitas’ ambition to double the size of its security solutions Securitas acquired STANLEY Security’s electronic security businesses in Germany, Portugal, Switzerland, Singapore and India. The acquisition is aligned with Securitas’ ambition to double the size of its security solutions and electronic security business and expands Securitas’ electronic security footprint and capabilities. Allied Universal to Buy G4S Ending the year on a high note, the boards of directors managing Allied Universal and G4S reached an agreement on the terms of a recommended cash offer. The deal brings to a close a six-month bidding war for G4S. The combined business is expected to generate approximately $18 billion in annual revenues with a global workforce of more than 750,000 people in 85 countries. Quantum acquires Western Digital business line Quantum Corporation entered into an agreement with Western Digital Technologies, Inc., a subsidiary of Western Digital Corp., to acquire its ActiveScale object storage business. The acquisition demonstrates Quantum’s commitment to innovation and growth, extending the company’s leadership role in storing and managing video and unstructured data using a software-defined approach. AVA/Vaion/Jazz Networks Ava, a unified security company, announced the completion of the merger between Jazz Networks, renowned cyber security insider threat detection and response firm; and Vaion, an end-to-end video security solutions provider. Ava is now positioned to deliver unified cyber and physical security solutions to organizations worldwide.

How Fury Motors Took Control with Ava Aware and Global Axiom’s Remote Monitoring Service
How Fury Motors Took Control with Ava Aware and Global Axiom’s Remote Monitoring Service

Fury Motors has served the St. Paul, Minnesota area for more than 50 years. Founded in 1963 as a family-owned and operated business, the dealership offers the community a diversified mix of vehicles and services including new and pre-owned vehicles, financing, auto repair, and maintenance. Currently, the dealership employs 115 people locally and is a one-stop-shop for all things automotive and trusted by the community. Committed to offering quality new and used vehicles for every taste and need, Fury Motors maintains a large and complete inventory of new Chrysler, Dodge, and Jeep vehicles. With more than $50M in inventory on a 10-acre lot, security has taken on a whole new level of importance since the dealership was founded. Challenges faced With the face of retail ever-evolving, challenges commonplace for auto dealerships have not only intensified but evolved, too. The safety and security of employees, customers, and assets have taken on a whole new meaning-making visibility into daily operations, not just important but critical to business success. Now more than ever businesses require flexibility, agility, and adaptability in their business solutions. This is particularly evident when it comes to solving security challenges. Fury Motors is no exception. The dealership realized simply recording security events as they happened was no longer enough. It needed to take a proactive stance on protecting its assets. Security of assets and operations To provide perspective, Fury Motors’ video security system required constant monitoring to capture events that were time and cost-prohibitive even with a monitoring company. And, if they could afford to have someone watch the cameras 24x7, human observations are subject to error or oversight. Fury Motors relies on remote monitoring to protect its inventory and capture valuable insight As a result, most video footage was never viewed or put to practical use, so Fury Motors was missing valuable information that could improve the security of assets and its operations. With no guard on-site, Fury Motors relies on remote monitoring to protect its inventory as well as capture valuable insight into employee behavior and customer service practices. When the dealership turned to Global Axiom and Ava, a unified security company, it was losing $7K+ a month to internal theft and operational inefficiency above and beyond losses and damage to inventory. Global Axiom Remote Monitoring powered by Ava Aware Fury Motors realized that it could and should get more value from its remote monitoring service including its intelligent video security system and footage. The dealership turned to Global Axiom for a monitoring service coupled with Ava Aware to provide the perfect solution to stay a step ahead of criminals and potential losses. And even more importantly, it gives Fury Motors the data intelligence to take business operations to a whole new level with greater efficiency and resource optimization. Fury Motors needed a new approach to security. Specifically, a system to capture, analyze, and present the big picture data. Everything from monitoring people and assets on the outdoor car lots to technicians doing oil changes in the service bay to the handling of incoming parts and inventory after hours. Video monitoring solution Combination of Global Axiom’s remote monitoring expertise and Ava Aware technology is unprecedented The dealership’s new intelligent video monitoring solution uses artificial intelligence (AI) and machine learning bringing a new level of agility and flexibility to monitoring services allowing Fury Motors’ security operators to quickly review footage from past incidents, increase situational awareness and respond time to evolving situations, and capture trend data for developing strategies and making data-driven decisions to prevent future problems. The combination of Global Axiom’s remote monitoring expertise and powerful Ava Aware technology is unprecedented. Ava Aware allows Fury Motors to accelerate investigations by searching objects and events of interest with speed and precision. Critical when managing $50M+ in inventory. Four important Ava differentiators  Proactive threat detection Ava’s intelligent algorithms and self-learning detect abnormal behavior in specific Fury Motors scenarios and alerts operators in real-time. It intelligently highlights what’s truly relevant from all Fury Motors’ cameras, in real-time, all the time. Powerful search using machine learning Fury Motors is now able to search by event and similarity to perform appearance and image detection powered by machine learning capabilities. The dealership is now able to comb through countless hours of video in seconds. Critical in pre-empting theft and invaluable in managing operational efficiency. Directional audio analytics Fury Motors’ dealership is expansive with $50M in inventory on-site. The dealership needed a solution like Ava Aware to provide 360-degree coverage with Ava’s innovative acoustic sensors. The cameras identify specific sound patterns to determine the type of sound and its direction, and sends instant alerts to the Ava Aware video management system, providing Fury Motors’ security operators with a complete overview of the surroundings. Enhanced business and operational insights Fury Motors security and operations teams now have more situational awareness and insights. The dealership can monitor and count people and vehicles, watch smart maps to understand hot spots or high traffic areas to manage occupancy and shift scheduling, and ultimately, improve customer service. Improved operational efficiency Fury Motors is positioned to carry on for another 50+ years as a leader in the St. Paul, Minnesota market. Management team is able to review past events, respond to changes in real-time, and enhance operational efficiency with real data With its new improved monitoring service powered by analytics, the dealership’s management team is able to both review relevant past events but more importantly, proactively respond to situational changes in any environment via real-time alerts to prevent situations from occurring. Similarly, management is able to improve operational efficiency with real data. Ava’s technology Ava’s mobile technology allows investigators to immediately search footage across multiple video cameras from the field to decrease the time-to-target and save hours of investigation and suspect-tracking. Again, creating significant operational efficiencies and increasing the likelihood to prevent and/or recover lost assets. Video analytics Video analytics has also allowed Fury Motors to create customized alerts allowing the dealership to take a proactive and preventative response to a variety of problems. This need gained significance in the wake of health and safety guidelines put in place for COVID-19 and since has allowed Fury Motors to improve customer service by being more in tune with employee response times to customers on the lot. Data analytics The ability to detect both patterns and anomalies using Ava’s powerful data analytics is empowering Fury Motors to enforce compliance and respond to important company mandates in the short term while improving operations and protecting employees and customers in the long-term. Win-Win partnership “The Ava Aware solution combined with the Global Axiom remote monitoring service has been a tremendous win. Not only have our losses been eliminated but more importantly the headaches around dealing with those losses are gone as well. Our goal is for our customers to feel safe on our lot no matter when they choose to shop. They should feel comfortable that if they drop their car off for service or trust us with it for repair we will keep it safe. The Ava / Global Axiom solution provides this level of service and allows us to stay focused on serving our customers,” Fury Motor’s Owner, Tom Leonard.

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