Panasonic Dome Cameras  (23)

As the COVID-19 pandemic wanes and sporting venues open-up to full capacity, a new disturbing trend has hit the headlines - poor fan behavior. Five NBA teams have issued indefinite bans on fans, who crossed the line of unacceptable behavior, during the NBA playoffs. Major League Baseball stadiums have a recurring problem with divisive political banners being strewn over walls, as part of an organized campaign, requiring fan ejections. There was a brawl between Clippers and Suns fans after Game 1 of their playoff series. And, the U.S. vs. Mexico Nations League soccer game over the Fourth of July weekend had to be halted, due to fans throwing objects at players and screaming offensive chants. Cracking down on poor fan behavior Security directors are consistently reporting a disturbing uptick in poor fan attitude and behavior With players across all major sports leagues commanding more power than ever before, they are demanding that sports venues crack down on poor fan behavior, particularly when they are the targets of that behavior. Whether it’s an extension of the social-media divisiveness that’s gripped society, or people unleashing pent up negative energy, following 15 months of social isolation, during the COVID-19 global pandemic, security directors are consistently reporting a disturbing uptick in poor fan attitude and behavior. They’re also reporting a chronic security guard shortage, like many businesses that rely on relatively low-cost labor, finding candidates to fill open positions has been incredibly difficult. Low police morale To add the third component to this perfect storm, many police departments are struggling with morale issues and officers are less likely to put themselves into positions, where they could wind up in a viral video. According to the Police Executive Research Forum, police officer retirements in the U.S. were up 45% in the April 2020 - April 2021 period, when compared to the previous year. Resignations were up 18%. In this environment, officers may be less likely to undertake fan intervention unless it’s absolutely necessary. This can seem like the worst of times for venue security directors, as they need more staff to handle increasingly unruly patrons, but that staff simply isn’t available. And, because the security guard staffing industry is a commoditized business, companies compete almost solely on price, which requires that they keep salaries as low as possible, which perpetuates the lack of interest in people participating in the profession. Digital Transformation There is only one way out of this conundrum and that is to make security personnel more efficient and effective. Other industries have solved similar staffing and cost challenges through digital transformation. For example, only a small percentage of the total population of restaurants in the U.S. used to offer home delivery, due to cost and staffing challenges of hiring dedicated delivery personnel. Advent of digital efficiency tools But with the advent of digital efficiency tools, now virtually all restaurants can offer delivery But with the advent of digital efficiency tools, such as UberEATS and DoorDash, now virtually all restaurants can offer delivery. Likewise, field-service personnel are digitally connected, so when new jobs arise, they can be notified and routed to the location. Compare this to the old paper-based days, when they wouldn’t know about any new jobs until they picked up their work schedule at the office, the next day and you can see how digital transformation makes each worker significantly more efficient. Security guards and manned guarding The security guard business has never undergone this kind of digital transformation. The state-of-the-art ‘technology’ has never changed - human eyes and ears. Yes, there are video cameras all over stadiums and other venues, but behind the scenes is a guard staring at a bunch of monitors, hoping to identify incidents that need attention. Meanwhile, there are other guards stationed around the stadium, spending most of their time watching people who are doing nothing wrong. Think about all the wasted time involved with these activities – not to mention the relentless boredom and ‘alert fatigue’ from false-positive incident reporting and you understand the fundamental inefficiencies of this labor-based approach to security. Now think about a world where there’s ubiquitous video surveillance and guards are automatically and pre-emptively notified and briefed, when situations arise. The fundamental nature of the security guards profession changes. Instead of being low paid ‘watchers’, they instead become digitally-empowered preventers. AI-based screening and monitoring technology This world is happening today, through Artificial Intelligence-based screening and monitoring technology. AI-powered weapons-detection gateways inform guards, when a patron entering the venue is carrying a gun, knife or other forbidden item. Instead of patting down every patron with metal in their pockets, which has been the standard practise since walk-through metal detectors were mandated by sports leagues following 9/11, guards can now target only those who are carrying these specific items. Video surveillance and AI-based analytics integration Combining surveillance video with AI-based advanced analytics can automatically identify fan disturbances Combining surveillance video with AI-based advanced analytics can automatically identify fan disturbances or other operational issues, and notify guards in real time, eliminating the need to have large numbers of guards monitoring video feeds and patrons. The business benefits of digitally transformed guards are compelling. A National Hockey League security director says he used to have 300 guards manning 100 walk-through metal detectors. By moving to AI solutions, he can significantly reduce the number of scanning portals and guards, and most importantly redeploy and gain further operational efficiencies with his overall operational strategy. Changing staffing strategy This changes the staffing strategy significantly and elevates the roles of guards. Suddenly, a US$ 20-per-hour ‘job’ becomes a US$ 40-per-hour profession, with guards transformed into digital knowledge workers delivering better outcomes with digitally enabled staffs. Beyond that, these digitally transformed guards can spend a much higher percentage of their time focused on tasks that impact the fan experience – whether it’s keeping weapons out of the building, pro-actively dealing with unruly fans before a broader disruption occurs, or managing business operations that positively impact fan patron experience. Digitally transforming security guards Perhaps most important, digitally transforming security guards elevates the profession to a more strategic level, which means better pay for the guards, better service for clients of guard services, and an overall better experience for fans. That’s a perfect storm of goodness for everyone.

The UK government recently announced a doubling of the Safer Streets Fund to £45 million, as it seeks to reassure the public that safety is a top priority, as the night-time economy makes a return. More than just surveillance While this funding increase is much needed, it’s vital that the government and local councils use the money strategically, or risk missing out on a great opportunity to deliver real change and enhance safety across the United Kingdom. One of the main strategies cited by the government is to increase the current vast number of CCTV cameras installed across the country, despite the fact that the UK is already one of the most surveilled nations in the world. Investing in video analytics London alone has around 700,000 cameras, but to effectively monitor them all would be an incredibly inefficient use of manpower and require a huge number of staff. Therefore, I believe the clearest and most cost-effective way for this project to succeed in its overall mission, is by investing in smarter technology, such as video analytics. Incorporating video analytics into existing infrastructure is the clear solution This technology offers a more efficient use of resources, faster response times and enables more informed, time-critical decision making, when reacting to unfolding events in real time. Incorporating video analytics into existing infrastructure is the clear solution, as the technology enables legacy assets, such as analog CCTV cameras, to become more than just after the fact evidence gathering tools and instead be used to help enhance real-time responses to unfolding incidents. Artificial intelligence-enabled solutions Artificial intelligence-enabled solutions are trained using vast datasets of images and video footage, in order to better understand people, objects and vehicles that are captured on film, and they continue ‘learning’ and improving, while in use. The system’s algorithms analyze and prioritize input from video data to decide which inputs are of value, automatically classifying the footage and notifying security personnel accordingly. This reduces response times by notifying CCTV operators of an incident, as it happens, meaning law enforcement and security personnel can react faster and intervene in an ongoing situation. Edge technology and real-time video streaming A key consideration should be choosing a technology that can operate at the edge and deliver real-time video streaming, even at the lowest bandwidths, so it isn’t limited to use in areas with good connectivity, which would exclude most remote areas. Quality really does matter and technology that can operate over low bandwidths is crucial for allowing operators to zoom in on areas of interest, such as a car number plate or face, and retrieve full-resolution images that can make a real difference in ongoing investigations. Analytics-based security approach Introducing an analytics-based security approach would also help curtail the rising cost of tackling crime Introducing an analytics-based security approach would also help curtail the rising cost of tackling crime. Research conducted by the UK’s Labour Party recently found that the annual cost of crime reached a staggering £100 billion. While statistics show that crime rates in general have been fairly stable over recent years, experts point to the increase in specific types of violent crime, such as knife crime which rose by over 20% during 2020. Implementing smart analytics-based technology Implementing smart analytics-based technology would help maintain staffing costs, as the system can identify incidents without an operator’s input, as well as reducing the cost of managing crime, as more incidents will be intervened in before they escalate too far. This dramatically reduces the burden on staff and allows a single surveillance operator to monitor many more cameras. On the other hand, this level of automation also reduces false alarm fatigue and operator overload, which can quickly sap efficiencies and reduce operator alertness, if left unchecked. Data driven problem-solving approach to crime prevention Procurement officials should avoid the common mistake of simply doubling down and throwing more staff and security assets at the problem to bring results. Instead, they should take a more data driven problem-solving approach to crime prevention by leveraging technologies that can enhance response and preserve their existing investments in cameras. The smart use of real-time video analytics could make the difference by preventing dangerous situations from escalating into serious incidents.

Display solutions play a key role in SOCs in providing the screens needed for individuals and teams to visualize and share the multiple data sources needed in an SOC today. Security Operation Center (SOC) Every SOC has multiple sources and inputs, both physical and virtual, all of which provide numerous data points to operators, in order to provide the highest levels of physical and cyber security, including surveillance camera feeds, access control and alarm systems for physical security, as well as dashboards and web apps for cyber security applications. Today’s advancements in technology and computing power not only have increasingly made security systems much more scalable, by adding hundreds, if not thousands, of more data points to an SOC, but the rate at which the data comes in has significantly increased as well. Accurate monitoring and surveillance This has made monitoring and surveillance much more accurate and effective, but also more challenging for operators, as they can’t realistically monitor the hundreds, even thousands of cameras, dashboards, calls, etc. in a reactive manner. Lacking situational awareness is often one of the primary factors in poor decision making In order for operators in SOC’s to be able to mitigate incidents in a less reactive way and take meaningful action, streamlined actionable data is needed. This is what will ensure operators in SOC truly have situational awareness. Situational awareness is a key foundation of effective decision making. In its simplest form, ‘It is knowing what is going on’. Lacking situational awareness is often one of the primary factors in poor decision making and in accidents attributed to human error. Achieving ‘true’ situational awareness Situational awareness isn’t just what has already happened, but what is likely to happen next and to achieve ‘true’ situational awareness, a combination of actionable data and the ability to deliver that information or data to the right people, at the right time. This is where visualization platforms (known as visual networking platforms) that provide both the situational real estate, as well as support for computer vision and AI, can help SOCs achieve true situational awareness Role of computer vision and AI technologies Proactive situational awareness is when the data coming into the SOC is analyzed in real time and then, brought forward to operators who are decision makers and key stakeholders in near real time for actionable visualization. Computer vision is a field of Artificial Intelligence that trains computers to interpret and understand digital images and videos. It is a way to automate tasks that the human visual system can also carry out, the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. There are numerous potential value adds that computer vision can provide to operation centers of different kinds. Here are some examples: Face Recognition: Face detection algorithms can be applied to filter and identify an individual. Biometric Systems: AI can be applied to biometric descriptions such as fingerprint, iris, and face matching. Surveillance: Computer vision supports IoT cameras used to monitor activities and movements of just about any kind that might be related to security and safety, whether that's on the job safety or physical security. Smart Cities: AI and computer vision can be used to improve mobility through quantitative, objective and automated management of resource use (car parks, roads, public squares, etc.) based on the analysis of CCTV data. Event Recognition: Improve the visualization and the decision-making process of human operators or existing video surveillance solutions, by integrating real-time video data analysis algorithms to understand the content of the filmed scene and to extract the relevant information from it. Monitoring: Responding to specific tasks in terms of continuous monitoring and surveillance in many different application frameworks: improved management of logistics in storage warehouses, counting of people during event gatherings, monitoring of subway stations, coastal areas, etc. Computer Vision applications When considering a Computer Vision application, it’s important to ensure that the rest of the infrastructure in the Operation Center, for example the solution that drives the displays and video walls, will connect and work well with the computer vision application. The best way to do this of course is to use a software-driven approach to displaying information and data, rather than a traditional AV hardware approach, which may present incompatibilities. Software-defined and open technology solutions Software-defined and open technology solutions provide a wider support for any type of application the SOC may need Software-defined and open technology solutions provide a wider support for any type of application the SOC may need, including computer vision. In the modern world, with everything going digital, all security services and applications have become networked, and as such, they belong to IT. AV applications and services have increasingly become an integral part of an organization’s IT infrastructure. Software-defined approach to AV IT teams responsible for data protection are more in favor of a software-defined approach to AV that allow virtualised, open technologies as opposed to traditional hardware-based solutions. Software’s flexibility allows for more efficient refreshment cycles, expansions and upgrades. The rise of AV-over-IP technologies have enabled IT teams in SOC’s to effectively integrate AV solutions into their existing stack, greatly reducing overhead costs, when it comes to technology investments, staff training, maintenance, and even physical infrastructure. AV-over-IP software platforms Moreover, with AV-over-IP, software-defined AV platforms, IT teams can more easily integrate AI and Computer Vision applications within the SOC, and have better control of the data coming in, while achieving true situational awareness. Situational awareness is all about actionable data delivered to the right people, at the right time, in order to address security incidents and challenges. Situational awareness is all about actionable data delivered to the right people Often, the people who need to know about security risks or breaches are not physically present in the operation centers, so having the data and information locked up within the four walls of the SOC does not provide true situational awareness. hyper-scalable visual platforms Instead there is a need to be able to deliver the video stream, the dashboard of the data and information to any screen anywhere, at any time — including desktops, tablets phones — for the right people to see, whether that is an executive in a different office or working from home, or security guards walking the halls or streets. New technologies are continuing to extend the reach and the benefits of security operation centers. However, interoperability plays a key role in bringing together AI, machine learning and computer vision technologies, in order to ensure data is turned into actionable data, which is delivered to the right people to provide ‘true’ situational awareness. Software-defined, AV-over-IP platforms are the perfect medium to facilitate this for any organizations with physical and cyber security needs.

Panasonic announces the i-PRO multi-AI system designed to harness the power of its latest AI cameras and applications by integrating them seamlessly into existing CCTV infrastructures. Available free-of-charge, the plug-in software allows users to easily manage the AI analytics from multiple i-PRO cameras, alongside their Video Management System. It creates a faster, more efficient, and accurate AI-powered security solution without compromising on image quality or network performance. AI security applications Introduced at the joint Panasonic and Genetec LinkedIn Live online event, the i-PRO multi-AI system is already fully integrated with the latest version of Genetec Security Center (V5.10.1), as well as the in-house VMS Video Insight. Paired with the latest i-PRO S and X Series of AI-capable cameras and its free-to-use AI security applications, it creates a new AI-driven security ecosystem. The system works by using i-PRO AI-capable cameras with edge analytics, and plug-ins on the Video Management System (VMS) server and client-side. The i-PRO multi-AI system captures and filters the best shot images and metadata based on deep learning from the AI camera to enable highly accurate analysis. The powerful data can be used for AI-based detection and alarms, watch-list monitoring, and also time-saving post-event searches in order to enhance the capabilities of the CCTV infrastructure. Accurate face detection AI people can detect and classify characteristics of the human face and clothing into useful categories The multi-AI system can be used with existing i-PRO in-house AI applications, which include AI-VMD and AI privacy guard, as well as the three new AI applications which are AI face, AI people, and AI vehicle detection. All enable quick and easy search of footage based on metadata. These applications are perfectly suited to city surveillance and for public safety. AI face detection enables highly accurate face detection. The application is even effective in low lighting environments, places with backlight conditions, and with faces obscured by masks - especially relevant in the current pandemic. AI people can detect and classify characteristics of the human face and clothing into useful categories such as gender, age, and clothing color. This detailed information can then be searched to easily identify an individual. AI capable cameras AI vehicle detection can detect and classify characteristics of vehicles, such as vehicle type and color. In addition, sound classification picked up by external microphones, such as vehicle horns, gunshots, yelling or glass breaking has been added as a default feature into the range to lift AI beyond the purely visual. “The introduction of i-PRO multi-AI system, alongside our AI capable cameras and applications has created a powerful new AI-driven security eco-system that allows businesses to take their CCTV infrastructure to the next level,” said Gerard Figols, Head of Security Solutions at Panasonic Business Europe. “And because these systems are already compatible for use with market-leading 3rd party VMS providers like Genetec, it is cost-efficient and simple to move to the AI-fication of the security market.”

Panasonic i-PRO Sensing Solutions Corporation of America, a global pioneer in professional security solutions for surveillance and public safety, announces their new i-PRO S-series line of network cameras. With the new i-PRO S-series, the AI processing found in Panasonic i-PRO Sensing Solutions’ premium products is available in their mid-range line of cameras, the S-series. Built-in AI operations The new i-PRO S-series comes with a built-in AI processor that transforms the camera into an edge-computing device to improve surveillance operations, and it also offers the ability to select and install third-party applications without a cloud- or server-based connection. Low-light image optimization The new i-PRO S-series cameras provide stronger H.265 coding efficiency to conserve network bandwidth and server storage capacities, and stronger image processing optimization allows them to adapt to changing environments. This means these new cameras produce clearer images with less noise even in low-light conditions. Sound classification The new i-PRO S-series is an extension of the flagship line of network cameras, the S-series Another addition to this new line is sound classification, which allows setting alarms for targeted sounds, such as gunshots, yelling, vehicle horns, and glass breaking, using an external mic. Plus, the new i-PRO S-series is compatible with i-PRO’s multi AI system, a time-saving search function that quickly finds people or vehicles through the video management software, Video Insight, and Genetec. Flagship network cameras “The new i-PRO S-series is an extension of our flagship line of network cameras, the S-series. This new line allows everyone the opportunity to experience the power of edge-computing technology,” said Bill Brennan, President, Panasonic i-PRO Sensing Solutions Corp. of America. “At i-PRO, we believe that security is the top priority and offering premium features in our mid-range line of cameras allows more access to the technology that helps create a safer world.” Availability The new i-PRO S-series is currently available in three models, indoor dome, indoor vandal dome, and indoor box. With premium features now available in their most popular line, the new i-PRO S-series is setting the standard in surveillance cameras.

Panasonic announces its new updated range of S-Series cameras setting a new standard with embedded AI capabilities and improved image quality for more accurate analytics running on the camera. The first four indoor dome and box-type models, with Full HD resolution, will be available in early July. Further line-up expansions will follow later this year, including outdoor and fisheye models. The addition of AI to the Standard range of Panasonic cameras enables businesses to take advantage of deep learning AI applications in their security and wider business operation using powerful cameras with a long-held reputation for reliability. Intelligent security functions With its Software Development Kit (SDK), the open platform camera range is designed for third party application development that can be tailored to a business customer’s needs. The AI capable cameras also reduce bandwidth use and cut infrastructure costs, with analytics and processing taking place on the camera. The cameras come pre-bundled with the i-PRO in-house apps AI Video Motion Detection The cameras come pre-bundled with the i-PRO in-house apps AI Video Motion Detection (AI-VMD) and AI privacy guard. They provide instant access to intelligent security functions such as intruder or loitering detection, while making sure to protect the privacy rights of individuals by pixelating their figures or faces; important for businesses operating in geographies where strict privacy laws are in force, such as Europe with GDPR. Inhouse application range Besides these two default applications, there are three new additions to the i-PRO inhouse application range: AI Face, People, and Vehicle Detection enable easy and quick search of footage based on pictures of faces – even when masked – or pre-defined attributes for people and vehicles. All these applications are included free of charge to aid the AI-ification of businesses. Lifting AI beyond the purely visual level, sound classifications picked up by external microphones, such as gunshots, yelling, vehicle horns, or glass breaking have also been added to the range. “Cameras with AI capabilities at the edge are creating a host of new opportunities for businesses across industry sectors, in addition to traditional security uses,” said Gerard Figols, Head of Security Solutions at Panasonic Business Europe. “The introduction of the new i-PRO S-Series just made these opportunities more accessible and easier to implement for businesses, so AI-ification and all its benefits become available to every business customer in the security market.”