Genetec Access Control Softwares

Stadiums around the world are still paralyzed from the effects of COVID-19. Fans and spectators in masses have been absent from stadiums since April and there doesn’t seem to be a concrete plan on how or when they’ll be able to return to near capacity. The NBA recently opted to form a bubble philosophy concept in Disney’s facilities, although it’s been a relative success, it’s also been a $200 million temporary solution. This then begs the question: How long can stadiums survive like this without spectator’s present? History tells us that stadiums, venues and sport recover from disasters, so what can stadiums do to speed up the process? This is the catalyst for AI to be integrated on mass level to stadiums around the world. AI is the answer AI’s role in getting fans and spectators back is huge, through capabilities such as: Social Distance Monitoring Crowd Scanning/Metrics Facial Recognition Fever Detection Track & Trace Providing Behavioural Analytics Technologies such as IREX.ai is now working alongside National Leagues, Franchises and Governing Bodies to implement AI surveillance software into their CCTV/surveillance cameras. This is now creating a more collaborative effort from the operations team in stadiums, rather than purely security. Stadiums around the world are still paralyzed from the effects of COVID-19 AI surveillance software such as IREX.ai when implemented into the surveillance cameras can be accessed by designated users on any device and on any browser platform. Crowd metrics Arming stadiums with AI-powered surveillance tools can detect crowd metrics such as “people counting” and “group statistics”. This ensures stadium personnel can monitor social distancing with precision, accuracy and immediately. Alerts can be set up throughout parts of the stadium to alert senior staff members when overcrowding can appear with real time videos, analytics and photos to their hand-held device, such as a smartphone. Fever detection Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures. What IREX.ai implements is an alert system, coupled with facial recognition of any individual(s) that read an elevated body temperature. This alert system then provides security and health officials with a photo of the individual with the elevated body temperature, meaning staff can react quicker to the situation prevent this individual from entry. Pandemic monitoring by facial recognition  Thermal cameras have been implemented throughout facilities including stadiums and are helping assist to spot people with elevated temperatures Through facial recognition, staff members will be able to locate individuals through simply uploading a photo. It has never been easier to find a person of interest. With masks becoming an everyday part of society, facial recognition has come under scrutiny regarding the accuracy when a mask is worn. Irex.ai still maintains a 96% accuracy with individuals wearing masks and can set up alerts for any individuals not wearing a mask. Another important aspect of facial recognition is finding persons of interest quickly through technology like IREX.ai’s “searchveillance”. The future is here. Designated staff can track a person from when they enter the stadium by simply uploading their photograph. An example of how this can assist stadium personnel is to help relocate lost children inside the stadium with their guardians/parents when they are separated. Another attribute would be any individuals banned from entering the stadium would trigger alerts once they appear under surveillance, a fantastic collaborative tool to use with Law Enforcement.    Return on investment With security solutions, one of the biggest issues with any security investment is a lack of an ROI. This is where AI security is breaking the mould. The ability to provide business analytics, consumer/fan behaviours, traffic patterns, etc, allows other departments within the organization to gain vital information that can assist with their strategies and practices. Stadium security will never be the same in a post-COVID world, so why will its practices stay the same? AI & Stadiums is no longer the future, it’s the 2020 solution.

Across the world, the impact of the current pandemic has majorly disrupted how we function in our everyday lives, as a society, and the ways in which we do our jobs. Throughout, our personal safety and wellbeing, as well as that of our families, neighbours and colleagues, has been paramount - and adapting our day-to-day lives to meet social distancing measures has been a learning curve for us all. As we start to reassemble normal life, precautionary measures will continue to be put in place to achieve the universal aim of mitigating the spread of the virus as much as possible. As different countries reach new stages of this process, some parts of the world continue to live and work in lockdown, while some are beginning to open up. This means governments, as well as businesses and organizations, will need to think beyond one-way systems and sanitation stations to contain the risk of infection as more people begin to return to the outside world. Tracing the spread of COVID-19 Of course, this will need to be driven by higher-level support from leaders in government, healthcare and technology to develop innovative ways of tracking and tracing the spread of COVID-19. From contact tracing solutions, to self-reporting apps and thermal screening cameras – governments and businesses across Europe have a new responsibility to seek and reinforce the most effective ways to ensure people’s safety. These measures are particularly pertinent to those reopening their doors as lockdown eases, and those returning to a daily routine of commuting to and serviced office spaces. As more and more people begin to move through public and commercial areas, we will rely more on technology to run in the background to ensure safety and wellbeing is monitored - much like that of the everyday CCTV camera. Thermal temperature screening cameras One piece of technology that we can expect to see as more commonplace is the thermal temperature screening cameras and monitoring system. An example of this kind of device, is D-Link’s recently launched all-in-one, intelligent fever screening kit – which includes a dual-lens thermographic camera, blackbody calibrator, as well as integrated management software. Governments, as well as businesses and organizations, will need to think beyond one-way systems and sanitation stations to contain the risk of infection The premise of temperature screening cameras like this one, is to harness thermal imaging technology coupling it with AI to identify if a person is experiencing elevated temperatures, and raise the alarm automatically when someone at risk of spreading is detected. To monitor the progression or depletion of COVID-19, technologies such as AI facial recognition will play an important role in mitigating the risks of the virus spreading. Thermal cameras that use AI can easily capture and manage employee’s temperature and stop their entrance if a fever is detected. For this reason, such devices are normally installed in a doorway or entrance to a building to quickly detect and identify those displaying symptoms before entering a building. This type of surveillance will be detrimental to the management of COVID-19 in the world of a ‘new normal’ – as companies feel their way out and learn as they go along with people’s health and wellbeing continuing to be center of the mind. Just as lockdown has had an impact on physical as well as mental health, so too will the adjustment to living life post-pandemic. Not only in getting used to and dealing with the emotional and mental pressures of life on the ‘outside’ as they leave lockdown, but they also face the very real risk of contracting the virus and the worries they may have of spreading it. Appropriate installation of temperature screening Companies and organizations have a responsibility in these times to play a supportive role towards employees, such as allowing them to continue working from home until they feel comfortable to work in an office setting. Equally, as restrictions ease, employers have a duty to make the workplace a safe place that is able to uphold the wellbeing of staff, which is where, as we wait for a vaccine, we must make use of the available technology. However, in the case of the thermal camera, in order for it to deliver effective results, it must be installed appropriately. To support this, we have outlined some key points to consider when deploying a temperature screening camera here: Choose a solution that features a blackbody calibrator – a vital part for any temperature screening device. A blackbody calibrator is the basis for accurate calibration of infrared thermography devices and allows the device to accurately detect a fever. Check for facing windows or doorways and heat sources such as radiators as these increase the risk of stray heat or cold sources throwing off readings according to the ISO standard associated with this type of equipment Be wary of weather and changes in climate as the device will need time to acclimatise – in order for readings to be clear individuals coming in from outside must wait five minutes before being screened When mounted, the camera must face individuals head-on and in parallel with their face to capture the inner eye area which is crucial for temperature reading Consider an option using AI which will automatically recognize individuals based on photos in the system Check applicability and legality of temperature screening cameras before deploying There’s a long way to go before life will fully return to normal. In the meantime, and to help everyone along the way, it’s essential that the right measures are in place to protect the physical and mental wellbeing of those we are responsible for. For anyone who is exploring options, know that there is help out there to provide guidance and expertise on the solutions that will be right for you and your business - now, as we go through the remainder of lockdown, and as we slowly move back into everyday lives.

Motion detection is a key feature of security systems in residential and commercial environments. Until recently, systems have relied heavily on closed circuit television (CCTV) and passive infrared (PIR) sensors, which both require significant investment and infrastructure to install and monitor. Developments in wireless technology are increasing home security possibilities. Few years ago, these developments led Cognitive Systems to discover that the wireless signals surrounding oneself can be used to detect motion. Known in the wireless industry as WiFi sensing, this technology brings many benefits that other motion detection solutions have not been able to provide. The working of WiFi sensing At Cognitive Systems, the company has used WiFi sensing technology to develop a motion detection solution called WiFi Motion™, which measures and interprets disruptions in RF signals transmitted between WiFi devices. When movement occurs in a space, ripples in the wireless signals are created. WiFi Motion interprets these ripples and determines if an action, such as sending a notification, is needed. Enabling this functionality in a space is incredibly simple. With a software upgrade to only one’s WiFi access point (or mesh router), motion sensing capabilities are layered into one’s WiFi network. Existing connected WiFi devices then become motion detectors without detracting from their original functions or slowing down the network. Using artificial intelligence (AI), WiFi Motion establishes a benchmark of the motionless environment and learns movement patterns over time, which could be used to predict trends. This allows unusual movement patterns to be detected with greater accuracy while decreasing the potential for costly false alerts. WiFi Motion requires no line-of-sight or installation WiFi sensing and other home monitoring solutions All of these capabilities are made possible by WiFi sensing and together create a motion detection system that provides unparalleled accuracy, coverage, privacy and affordability compared to other solutions on the market. PIR integration is far more complex and imposes electronic and physical design restrictions compared to WiFi sensing. In terms of placement, PIR systems are difficult to install, requiring line-of-sight and a device in every room for localization. WiFi Motion requires no line-of-sight or installation and is also a scalable solution compared to PIR. Much like cameras, PIRs can only cover so much space, but WiFi Motion can cover the entire home and even detect motion in the dark and through walls, without adding additional devices to the home. WiFi Motion detects less distinguishing context than cameras and microphones, but more context than regular PIR sensors for the perfect balance of privacy and highly accurate motion detection. Privacy solution While cameras have been the security solution for years, WiFi Motion offers a more affordable solution that can rival the privacy and coverage capabilities of even the most high-end cameras. With such a wide coverage area, one might think that WiFi sensing infringes on privacy, but actually, the opposite is true. With WiFi Motion, the contextual information collected cannot be used to identify a specific individual, unlike cameras which can clearly identify a person’s face or microphones, which can identify a person’s voice. It is different from other smart home security options that use cameras and microphones because it only senses motion using WiFi signals - it doesn’t “see” or “listen” like a camera or microphone would. This provides opportunities for added security in spaces where privacy might be a concern and installing a camera may not be a comfortable solution, such as bathrooms and bedrooms. The data collected is also anonymized and highly encrypted according to stringent industry privacy standards. Existing connected WiFi devices then become motion detectors Additional WiFi sensing applications Since WiFi sensing technology requires no additional hardware or subscription fees, it is much more affordable than other motion detection solutions. It can be used as a standalone solution, or it can be easily layered into more complex systems. This ease of integration, scalability and relatively low cost brings a lot of potential for various applications. Motion detection can trigger other smart devices in the network to turn lights on or off In eldercare, for example, WiFi sensing can be used to help seniors live comfortably in their homes for as long as possible. With the increasing aging population and high costs associated with care homes, the market for this application is considerable. Caregivers can use an app to monitor movement in their loved one’s home and be alerted about unusual movement patterns that could indicate a concern. For smart homes and other environments that have a network of smart devices, the artificial intelligence (AI) component of the technology allows for improvements to automated features. Motion detection can trigger other smart devices in the network to turn lights on or off or make adjustments to the temperature in a room. Security for the commercial sector For office buildings and other commercial properties, it is easy to see how all of these features could be scaled up to offer a highly accurate and cost-effective motion sensing and smart device automation solution. Cognitive Systems is closely involved with the development of WiFi sensing technology, working with various industry groups to establish standards and help it reach its full potential. WiFi Motion is merely the tip of the iceberg in terms of motion sensing possibilities, but its applications in the world of security are undeniably compelling. It is an exciting time for the wireless industry, as one works with stakeholders in the security space to explore everything this technology can do.

Traditionally, security industry professionals have often come from backgrounds in law enforcement or the military. However, the industry is changing, and today’s security professionals can benefit from a variety of backgrounds and educational disciplines. The industry’s emphasis on technology solutions suggests a need for more students of computer science, engineering and other technology fields. The closer integration of security with related disciplines within the enterprise suggests a need to prepare through a broad array of educational pursuits. We asked this week’s Expert Panel Roundtable: What is the role of higher education to create the next generation of physical security leaders?

Genetec Inc., a globally renowned technology provider of unified security, public safety, operations, and business intelligence solutions, has announced that City Council District E in New Orleans has taken an innovative approach to address illegal dumping using Security Center, the unified security platform from Genetec. Countering illegal dumping menace Illegal dumping is a problem in most cities around the world, but enforcing laws to prevent it can be quite difficult and resource-intensive. To catch culprits in the act, law enforcement and other city staff have to physically watch known sites and wait to spot illegal dumping activity. Most city officials know that's an impossible task, as officers can't be everywhere all the time, and offenders take full advantage of that reality. New Orleans’ RTCC and Sanitation Department has begun installing a network of cameras at known dumping sites In response, New Orleans City Council District E Councilwoman, Cyndi Nguyen, has taken a hands-on approach tackling illegal dumping head-on as a part of a larger push toward revitalising the community she serves. Nguyen’s team, working in partnership with New Orleans’ Real Time Crime Center (RTCC) and Sanitation Department has begun installing a network of cameras at known dumping sites. All cameras are portable so they can be moved to new dumping hotspots as needed. Genetec security technology platform deployed “This security technology from Genetec certainly helps re-enforce the message I’m putting out there, that we can and will enforce illegal dumping offenses in District E. We also have this great partnership with the Sanitation Department, our local Police Department, and the RTCC, and that’s extending out into our community as well,” said New Orleans City Councilwoman, Cyndi Nguyen. She adds, “I am working hard to get more residents and businesses involved in supporting these initiatives, because keeping our city safe and clean is a shared responsibility.” Real Time Crime Center (RTCC) The Real Time Crime Center (RTCC) already uses Security Center to manage its citywide public safety improvement initiatives. To help monitor illegal dumping activities, the Crime Center’s IT department also set up an event-to-action rule in the Security Center platform to processes motion detection in a defined zone of the camera’s field of view. As soon as motion is detected, the security system bookmarks it and notifies IT staff As soon as motion is detected, the security system bookmarks it and notifies IT staff so that they can evaluate the situation and determine if collection of the debris is warranted. The system also takes a snapshot of the video and emails it to designated personnel on the team, so as to enable them to identify and investigate any potential dumping perpetrators, and take appropriate action. Crime detection with video evidence In an example of a recent case, this event-to-action led to the arrest of a repeat offender who had previously been convicted and sentenced for dumping 14,000 tires. All snapshots and video evidence were securely shared with the New Orleans Police Department so as to enable them to quickly identify the perpetrator, apprehend him and complete their investigation. “Without this technology, finding these offenders comes down to chance or it could take a police officer hours and hours of investigative work. Instead, it took us minutes to set up the event-to-action in Security Center, and just about two days from the time we were notified about this offender to the time we were able to apprehend him,” said Bill Wood, IT Supervisor at New Orleans’ Real Time Crime Center (RTCC). Bill adds, “We love working with the Genetec Security Center security platform. It’s very user friendly and helps us cut down that investigation time exponentially.”

While the accuracy rate of traditional rules-based ALPR systems is very good, every false positive still requires human intervention. These service interruptions not only cause customer dissatisfaction but also cost parking operators time, money, and create overall enforcement inefficiencies. To address these issues, Genetec has developed a next-generation machine learning-based engine for Security Center AutoVu™. Optimized to run on current ALPR hardware already used by customers in the field, Genetec AutoVu MLC improves plate-read performance by an additional 5%. To help parking organizations quantify the impact this increase in plate reading accuracy can have on their bottom line, Genetec has developed an ALPR calculator. For parking organizations By simply entering the typical citation amount, the number of days of enforcement per week, the hours of enforcement per day, and the violation rate percentage, parking organizations can use the calculator to discover they can save thousands of dollars a year. “While a 5% increase in plate reading performance may not seem like much initially, it can have a profound effect on a parking operator’s bottom line,” said Michael Bradner, Product Manager at Genetec. “Shift after shift, day after day, and month after month, that cumulative effect adds up to tens of thousands of dollars a year. With the ALPR calculator, customers can clearly see for themselves.” Firmware update The AutoVu MLC is available as a firmware update for new and existing AutoVu SharpVTM hardware from Genetec certified channel partners and integrators. It does not require costly hardware upgrades and can run on AutoVu SharpV and most SharpX cameras already deployed in the field. AutoVu MLC is embedded in the new Genetec SharpZ3, one of the first specialized in-vehicle ALPR systems in the world to be powered by Intel’s latest machine learning and computer vision technology. This brings high-performance data processing and analytics to the edge to enhance deep learning capabilities that extend beyond traditional ALPR.