Mirasys Video Management Solutions are being utilized in a number of transport projects which include ports, motorways, airports, trains and logistic centers. Each project needs a highly adaptive solution which adapts to changing requirements, technologies and regulations, and provides unlimited scalability and high reliability.

Mirasys VMS Increases Efficiency

The transportation sector provides a great example of how an intelligent video management system can increase the efficiency of activities, safety, and ensure smooth-running operations. Mirasys offers the possibility to increase productivity and savings with powerful connectivity to other systems.

Mirasys VMS includes a number of intelligent features. Playback and powerful search tools identify incidents quickly and efficiently. The intuitive storyboard function helps in reporting events and incidents and high quality images can be used for evidence. Advanced motion detection and alarm event settings let you decide what you want to track; reducing operational costs and the number of false alarms.

Mirasys Video Content Analytics

Mirasys VCA (Video Content Analytics) provides full VCA functionality with object classification and enter / exit, direction, vehicle speed, stopping, dwell time, etc. filtering. The setup is versatile and supports, for example, different type of vehicle classification, zone definitions, entering directions and vehicle speed. You have plenty of different analytic alternatives available per camera. The object that is being analyzed can have several different analysis rules active simultaneously.

The ingenious use of cameras and analytics increases the flow of cargo, luggage and passenger traffic. You can, for example:

  • Tighten platform security
  • Improve crowd management
  • Identify people and any unusual behavior such as running
  • Identify abandoned objects
  • Manage queues and staffing level
  • Control the number of vehicles in the area

Vast Integration Possibilities

With Mirasys and its endless integration possibilities, you can speed up the logistic center’s functions, transport management efficiency, and ensure the undisturbed flow of cargo operations. The use of Mirasys integrations will increase the value of visual information captured by the system, and bring significant cost savings. The information from video images can be linked to the information received from other sensors, also enabling the utilization of IoT (Internet of Things).

Mirasys Spotter ENTEGRA airport application
Different organizations can use the same Mirasys system to manage their part of the surveillance and security, but each party has its own rights

When integrating a bar code reader with the video management system in a warehouse, the movements of each package can be searched and visualized. The images from cameras can be found immediately, which helps to determine the condition of the package at the time of entering and leaving the warehouse, and on which vehicle it is located.

For each and every event, the system provides the exact time, visual information from a number of different cameras, and delivers event reports to specified recipients. This results in a clear decrease in the time spent in resolving customer complaints.

Automatic License Plate Recognition

With the Mirasys ANPR+ (Automatic License Plate Recognition) application you can automate the management and guidance of the vehicles in a certain area. For example, based on the license plate information the system can advise: 

  • Which loading bridge the vehicle is assigned to,
  • Which driving lane the vehicle is assigned to,
  • Driving through automatic weight-in-motion (WIM) is needed, etc.

The system can monitor the vehicle on its way in and out, film it from the side, top, front and back and is therefore a great solution for vehicle damage control. Using integration to the automatic weight-in-motion (WIM) function you can also ensure automatically that the amount and type of product loaded on the vehicle is correct.

In harbors and airports different entities, such as Security, Police and Customs, need different information from the same system

Automate Operations With The ANPR+

A forwarding company can book a space for its truck from a shipping company’s ticket selling system. When the truck arrives at the shipping company’s area, for example in a harbor, it is automatically measured, and if the measurements match the ticket, the truck is guided to the green lane. If the measurements deviate from the ticket data then the truck is guided to the ticket window lane. The measurement information will be sent automatically to the system optimizing the ship loading. If a vehicle exceeds its allowed time to stay in one place, or deviation from the planned route of the vehicle is detected, the system will report an event.

In harbors and airports different entities, such as Security, Police and Customs, need different information from the same system. Different organizations can use the same Mirasys system to manage their part of the surveillance and security, but each party has its own rights; simultaneous users are no problem. Information from different sources flows automatically between organizations, resulting in faster response times on investigations, and increasing the performance level considerably in handling the joint security issues.

Decreased Total Cost Of Ownership

Mirasys is an industry-recognized Video Management System provider. Limitless integration possibilities of the Mirasys VMS offers the freedom to build the system that serves your needs. Mirasys also gives you the freedom and possibility to connect several sites into one logical entity. The centrally managed Mirasys system allows you to add or remove cameras and servers, set users’ rights, manage live and recorded video and export evidence with a few simple clicks. The system can have centralized, de-centralized or mixed topology configurations.

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In case you missed it

Top 10: What Were Security Professionals Reading About In 2017?
Top 10: What Were Security Professionals Reading About In 2017?

Our most popular articles in 2017 reflected changing trends in the U.S. security market, from deep learning to protection of mobile workers, from building automation to robotics. Again in 2017, the most read articles tended to be those that addressed timely and important issues in the security marketplace. In the world of digital publishing, it’s easy to know what content resonates with the market: Our readers tell us with their actions; i.e., where they click.   Let’s look back at the Top 10 most-clicked articles we posted in 2017. They are listed in order here with the author’s name and a brief excerpt.  1. Las Vegas Massacre Demands Reevaluation of Hospitality Sector Security The Oct. 1, 2017, sniper attack from a 32nd-floor room at Mandalay Bay, overlooking 22,000 people attending a country music festival, has been compared to “shooting fish in a barrel.” When the bullets rained down, there was nowhere to hide. The attack came from outside the “perimeter” of the event, so any additional screening of attendees would not have prevented it. There are also implications of the Las Vegas massacre for the hospitality industry. Hotels and resorts such as Mandalay Bay have not generally embraced technologies like the explosives scanners or X-ray machines used at airport terminals, at least not in the United States. 2. Deep Learning Algorithms Broaden the Scope of Video Analytics [Zvika Ashani] Until recently there have been minimal applications of Machine Learning used in video analytics products, largely due to high complexity and high resource usage, which made such products too costly for mainstream deployment. However, the last couple of years have seen a tremendous surge in research and advances surrounding a branch of Machine Learning called Deep Learning. The recent increased interest in Deep Learning is largely due to the availability of graphical processing units (GPUs). GPUs can efficiently train and run Deep Learning algorithms The last couple of years have seen a tremendous surge in research and advances surrounding a branch of Machine Learning called Deep Learning 3. Home Security Systems: Why You Need to Upgrade From 3G to 4G Technology [Missy Dalby] The current communication method for most home security systems is via CDMA and 3G (GSM) technologies. With the emergence of faster, better, and stronger 4G LTE technology, carriers are migrating away from old technology standards and methods towards new, more efficient ones. As such, the older technology is going dark, and soon. Manufacturers of cellular modules have stopped making them. At the end of 2018 they will stop letting customers add systems utilizing 3G radios to their channels. 4. Diving into AI and Deep Learning at NVIDIA’s San Jose Conference [Larry Anderson] Video analytics applications fall under NVIDIA's “AI City” initiative, which they describe as a combination of "safe cities" (video surveillance, law enforcement, forensics) and "smart cities" (traffic management, retail analytics, resource optimization). Depending on the application, AI City technology must function in the cloud, on premises and/or at the edge. NVIDIA’s new Metropolis initiative offers AI at every system level, from the Jetson TX2 "embedded supercomputer" available at the edge, to on-premises servers (using NVIDIA’s Tesla and Quadro) to cloud systems (using NVIDIA’s DGX). 5. Physical Security Evolves to Protect Mobile Workers [Annie Asrari] With an increasing number of employees traveling and working remotely, the days of a dedicated worker who commutes to and from a single location every day of the week are just about over. Security professionals must take a second look at their policies and procedures for employee safety. To protect employees in this new mobile world, where people, assets and brand reputation threats may face higher than normal levels of safety and security risks, businesses must focus less on securing physical, four-wall perimeters and instead take a global approach to security that focuses on protecting traveling, remote and lone workers. Businesses must take a global approach to security that focuses on protecting traveling, remote and lone workers 6. New Security Technologies Driving Excitement on Busy ISC West Day One [Larry Anderson] ISC West in Las Vegas kicked off April 5 with an expanding focus on new technologies and new applications, including some that go beyond any narrow definition of security. “Technology is disrupting the market and executives are taking our solutions beyond security,” says Moti Shabtai, CEO and President of Qognify. “They are starting with security and quickly moving to other risk and business continuity issues in the organizations. They want a clear return on investment (ROI), which we can deliver if we move from covering a limited island of ‘security’ issues and give them the value of also managing risk, safety, and operations.” 7. Optimizing Building Automation for Good Return on Investment [Minu Youngkin] Smart buildings are on the rise around the world, not only because a growing number of companies are considering their environmental impact, but also because of the dramatic cost savings that can be realized through integration. In every building that has an integrated security and access control system, an opportunity awaits to also integrate the building’s energy use, water use, ventilation and more. The key is to effectively convey the tremendous potential of this new technology to the end user. 8. ISC West 2017: How Will IT and Consumer Electronics Influence the Secuirty Industry? [Fredrik Nilsson] A good way to predict trends [at the upcoming ISC West show] is to look at what’s happening in some larger, adjacent technology industries, such as IT and consumer electronics. Major trends on these fronts are the most likely to influence what new products will be launched in the electronic security industry. Proof in point is H.264, an advanced compression technology ratified in 2003 and adopted as the new standard by the consumer industry a few years later. By 2009, it became the new compression standard for the video surveillance industry as well. Violence will continue to challenge the healthcare sector in the future 9. The Future of Healthcare Security: Violence Response and Emergency Preparedness [Ben Scaglione and David LaRose] Violence will continue to challenge the healthcare sector in the future. Domestic violence, child abuse, behavioral health, drug and alcohol abuse will all continue to challenge hospital staff in the Emergency Department, Women’s Health, and behavioral health areas. The Hazard Vulnerability Assessments (HVA) along with facility wide risk assessments helps in defining risk severity and identifying historical patterns of violence. 10. Robot Revolution: Uncovering the Real Value of Security Robots [Steve Reinharz] The security coverage that a robot offers in the case of a shopping mall can be easily overshadowed by the fact that the machines seem to serve to entertain the population. Instead, security robots can best be utilized for more high-level roles, such as in critical infrastructure sites, corporate campuses and educational facilities, where wide, expansive spaces require continuous protection. In these locales, security can be difficult to achieve, as cost, location and lack of resources make the logistics of deployment difficult.

How To Prepare For Active Shooter Incidents | Infographic
How To Prepare For Active Shooter Incidents | Infographic

This Active Shooter infographic summarises information about trends among active shooter incidents, and outlines how an organization can develop a plan before tragedy occurs, including:   Statistics on the numbers and types of recent active shooter incidents. A profile of common traits among active shooters. How to prepare beforehand, and what to do when the police arrive. How organizational planning ensures maximum preparedness. Pre-attack indicators to look for. Be sure to share this information with coworkers and managers. Awareness is key to preventing active shooter incidents, and to minimising their tragic consequences. When sharing this infographic on your website, please include attribution to  SecurityInformed.com More resources for active shooter preparedness: How hospitals can prepare for active shooter attacks Six steps to survive a mass shooting Technologies to manage emergency lockdowns  How robots can check for active shooters  Background checks to minimise insider threats Gunfire detection technologies for hospitals, retail and office buildings 21 ways to prevent workplace violence in your organisation Non-invasive security strategies for public spaces    

Intelligent Surveillance: AI For Police Body-worn Cameras
Intelligent Surveillance: AI For Police Body-worn Cameras

Working together to develop an intelligent body-worn camera for public safety users, Motorola Solutions and artificial intelligence (AI) company Neurala are demonstrating how AI can be added to everyday devices such as smart phones using existing hardware platforms.  AI software, working at the “edge,” provides the capability to add AI functionality to existing cameras, such as Motorola’s Si500 body-worn camera. An agreement to develop the products follows Motorola’s strategic investment in Neurala in January 2017. “The technology is real, as our prototypes have demonstrated,” says Massimiliano “Max” Versace, Neurala CEO. “The technology will mature dramatically by the end of the year.” A final, marketable product from Motorola might be a year or more away, and the timing will depend on extensive testing in the meantime, he says. The goal is to enable police officers to more efficiently search for objects or persons of interest, such as missing children or suspects. Adapting Hardware For Artificial Intelligence Neurala’s learning capabilities “at the edge” are hardware-agnostic; its software-only focus enables the principles of artificial intelligence to be applied to a variety of hardware platforms, including low-cost platforms used inside smart phones. Typically, cost and the need for speed are limitations that determine what hardware can be leveraged using the software. The goal is to enable police officers to more efficiently search for objects or persons of interest, such as missing children or suspects In the case of the Motorola body-worn camera, AI functionality is being added to existing hardware in the device, which is much like a smart phone encased in the form factor of a body-cam. Today’s smart phones include cameras, gyroscopes and accelerometers to provide sufficient data to drive AI applications. Software adapts existing hardware to transform them into AI devices capable of continuous learning in the field. Finding Missing People In Crowds Neurala and Motorola are promoting the new agreement with a use case of how a policeman’s body-worn camera could help find a missing child in a crowd. A network “pushes” a photo of a missing child to a network of 1,000 body-worn and/or dashboard cameras in the field, which employ AI to search for the child within each camera’s field of view and then provide an alert when a match is found. The cameras operate passively, without involving police officers, in effect automating the process without police officers having to look at every face in a crowd. AI’s contribution is to eliminate the need for humans to do repetitive or boring work, such as look at hours of video footage. Neurala began working in AI 11 years ago, long before the current buzz in the market. In a sense, awareness has caught up with the company, which has been developing its technologies ahead of the curve. “The same technology could be applied to closed circuit cameras to detect other objects,” says Versace. “The Neurala Brain is neural network software that can be trained to find a variety of objects, such as backpacks or vehicles, in the air or on the ground.” AI’s contribution is to eliminate the need for humans to do repetitive or boring work, such as look at hours of video footage   Adding AI To Existing Security Devices Other applications are also being developed. For example, Neurala has applied its technology to help the Lindbergh Foundation fight poaching of elephants and rhinos in southern Africa using video from drones as part of its Air Shepherd Program. Neurala’s software helps human analysts by searching through terabytes of video, including infrared, in real time as the drone is flying, pinpointing animals, vehicles and poachers during the day and at night. Versace expects the first applications of AI on existing products, including cameras and drones, before it is applied to robotics and other new applications. In effect, Neurala provides a “brain plug-in” that can add AI to change an existing solution from a passive sensor to a device that is “active in its thinking,” he adds. AI is here to stay, says Versace. “The market should know that AI has reached a point of no return. Companies that don’t use AI will be left behind. It’s the way to go to amplify your output.” Does Artificial Intelligence Threaten Humans? However, the technology isn’t perfect and shouldn’t be expected to be. “It’s still a growing technology, so you can’t expect 100 percent correct performance, especially if you deploy it in a constrained environment such as a cell phone,” says Versace. “AI can approximate 90 percent of a human’s ability to detect an object, and it’s tireless and can work 24 hours a day. It’s a liberating technology that takes on jobs that are not interesting, such as looking for a backpack on a computer screen.” AI tends to engender anxiety among some, with people like Elon Musk warning of an existential threat of the technology and a coming AI apocalypse. We should all relax, says Versace. “It’s a liberating technology,” he says. “Anyone who talks about AI as dangerous is not an AI expert. The less you know about AI, the more alarmist you are.” He suggests the physical security market should “learn more about it so they won’t be so scared.”