Aimetis Video Surveillance software(6)
Try the Aimetis Symphony FREE for 60 days !Open IP video management: Aimetis Symphony™ installs on standard IT hardware, supports both analog and IP cameras from hundreds of camera manufacturers, provides a feature-rich, easy-to-use interface, and incorporates IT friendly features to make administration simple. Install on standard IT hardware Supports hundreds of cameras and encoder models Supports MPEG4, MJPEG, H.264 Intelligent user-friendly interface Unhindered scalability IT friendlyProven video analytics: Aimetis VE Series video analytic algorithms are seamlessly incorporated into Aimetis Symphony™, analyzing video data in realtime and providing organizations with intelligent information at their fingertips. The analytic applications in Aimetis Symphony™ include:Video Motion DetectionMotion TrackingObject ClassificationLeft/Removed Item DetectionPeople CountingDwell Time/LoiteringWrong DirectionAuto PTZ trackingSystem integration & alarm management Aimetis Symphony™ has a full Application Programming Interface (API) that makes integration with third-party systems, such as access control, easy. What's more is that Aimetis Symphony™ makes it simple to configure rules, and create automatic actions, such as lock doors, sound alarm, or turn-on lights, in the event of an emergency.Rich API for third party integration:OPC InterfaceSimple rule configurationAutomatic actionsFuture-proof surveillance: Integrate analog and IP cameras Scalable IP video management Open platform for system integration Alarm management Video analyticsAdd to Compare
Aimetis Corp., a global leader in intelligent IP video management software, today launched Aimetis Symphony™ Version 6.5, which offers enhanced scalability, availability and updated video analytics.Aimetis Symphony combines robust video management and video analytics in one unified software platform. By analyzing video in real-time, organizations can achieve the desired business impact through timely and actionable information. Aimetis Symphony's simple and straightforward licensing options offer maximum flexibility, ease of use, and a cost-effective entry point for the seamless migration to IP-Surveillance. All of this is backed by the industry's best support.What's new in Aimetis Symphony 6.5:Scalability - Over 200 concurrent users and up to 300 cameras per server. This helps achieve new levels of hardware efficiency.Availability - Improved server farm options allow automatic server failover, reducing the risk of system failure.Enhanced User Management - Enables user groups, provides more granular rights and user profiles, which simplifies user management.Video Walls - Out-of-box video wall functionality reduces video distribution and display costs by leveraging COTS hardware.Improved People Counter - Offers better accuracy in busy environments.Enhanced Business Intelligence Reporting - Offers actionable information."We work closely with our partners to ensure Aimetis provides the leading-edge capabilities that their customers want for improved safety, security and operations," said Marc Holtenhoff, CEO, Aimetis Corp. "Symphony raises the bar where scalability, availability and flexibility is concerned."Aimetis Symphony The new enhancements are now incorporated into Aimetis Symphony, which offers the following market-leading capabilities:Future-proof surveillance - With three software license versions to choose from, Aimetis Symphony has a solution for every stage on the migration path from analog CCTV to intelligent IP video. And, with the industry's simplest licensing model, transitioning is easier than ever.Open IP video management - Aimetis Symphony installs on standard IT hardware, supports hundreds of camera models, provides a feature-rich, easy-to-use interface, and has a full Application Programming Interface (API) that makes integration with third-party systems, such as access control, easy.Proven video analytics - Aimetis VE Series video analytics are seamlessly incorporated into Aimetis Symphony, analyzing video in real-time and providing organizations with intelligent information at their fingertips. Aimetis People Counter is an embedded video analytics software application for use with several Axis Communications network video products.Security & beyond - With advanced video search tools, and a comprehensive selection of on-demand reports, organizations use Aimetis Symphony for business intelligence in addition to security surveillance, helping them to better plan business requirements, improve operations and increase ROI.Aimetis Symphony 6.5 supports hundreds of camera and encoder models and is available immediately from Aimetis channel partners.Add to Compare
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AI has opened doors to many transformation opportunities and increasingly minimised many risks -- personal and economic -- that are alarming today. And illicit trade is one of those pains AI can offer a promising solution against. Illicit trade is a serious threat and problem that affects governments and societies on every level. While governments lose financial funds in tax revenues, thriving businesses are losing potential customers, and customers are getting tricked into purchasing counterfeit, low-quality products. Transnational organized crime generates revenue of $2.2 trillion through transnational criminal organizations, complicit corrupt facilitators, and other threat areas. The list of criminal activities is long and involves such horrific crimes as trafficking of narcotics, opioids, arms, humans, fake medicines and other counterfeit and pirated goods; illegal tobacco and alcohol; illegally-harvested timber, wildlife, and fish; pillaged oil, diamonds, gold, and other natural resources and precious minerals; stolen antiquities; and other contraband or valuable items sold across streets, social media, online marketplaces, and the dark web. In short, illicit trade is a contributing cause to large-scale insecurity and instability across markets. AI-driven technologies Here is where revolutionary AI-driven technologies come in, with their capability to fight illicit trade across markets. AI technologies in this specific application promise to help build safer and more secure communities in the future. There are a few ways that AI can support the ongoing fight against illicit trade on a global scale in a tangible way. Transnational organized crime generates revenue of $2.2 trillion For financial transactions at risk of fraud and money laundering, tracking has become an increasing headache if done manually. As a solution to this labour-intensive process, AI technology can be trained to follow all the compliance rules and process a large number of documents -- often billions of pages of documents -- in a short period of time. Among these documents widely in circulation, most have an unstructured and inconsistent format -- from invoices to insurance documentation -- are a complex system to tackle; in this whirlwind of pages, the likelihood of non-compliant and misrepresented figures to go by unnoticed. But this is also where AI can thrive as solutions become a necessity, enhancing humans’ capabilities of identifying fraud risks in the early stages. Relying on natural language processing, the technology can begin interpreting the text from the scanned and digitised documents in order to process trade information at high speed. In this context, AI-powered solutions are capable of comparing, contrasting document information and identify anomalies worth looking into further. By automating a large portion of the process, AI-driven technology allows the staff to focus on more pressing, high-involvement issues that require human judgement while saving time on the time-consuming manual work of analyzing documents by hand. Identifying covert interactions between criminals As criminal networks become increasingly intricate in their illegal operations, cutting-edge AI technology is crucial in the battle against it. In 2019, EU launched a project with the goal to deploy advanced AI technology and robots to identify smuggling across the borders of Portugal, Estonia, Italy, Greece, Bulgaria, Romania and Hungary. With the help of AI, it will be possible to send drones and autonomous vehicles to the most dubious border areas in order to enforce border control and detect smugglers quickly and efficiently. Illicit trade triggers a chain reaction of negative impact across industries, governments and individuals The issues the EU is trying to address through the project include drug and weapon smuggling, as well as human trafficking. From tight border control tracking crossings to communication monitoring to identify covert interactions between criminals on both sides of the border, the project is one among many that will expand the scope of solutions to the illicit trade problems today. AI’s contribution is significant on many levels: from predicting crime and threats to safeguarding public health and safety (in face of human trafficking, counterfeit medicines, and toxic products), these are simply inklings of major shifts that AI technology promises for the future of the battle against illicit trade. So why is fighting illicit trade so crucial? Here are a few reasons why AI’s role in fighting this global issue is crucial. In a world where customers run the risk of being deceived and tricked into buying counterfeit products, companies who provide the original products suffer through the loss of revenue and market share. The same companies are also robbed of their intellectual property and proprietary data. Furthermore, people who are employed in these companies run the risk of losing their jobs as a result of revenue and market share loss. And finally, the last straw is the loss of brand integrity and reputation to the need to compete with low-quality, sometimes even dangerous counterfeit products. Just like a domino effect, illicit trade triggers a chain reaction of negative impact across industries, governments and individuals. And it’s time for AI to step in and stop it.
Smart security is advancing rapidly. As AI and 4K rise in adoption on smart video cameras, these higher video resolutions are driving the demand for more data to be stored on-camera. AI and smart video promise to extract greater insights from security video. Complex, extensive camera networks will already require a large amount of data storage, particularly if this is 24/7 monitoring from smart video-enabled devices. With 4K-compliant cameras projected to make up over 24% of all network cameras shipped by 2023 – there is a fast-growing desire for reliable storage on-board security cameras. The question for businesses is: do they look to break up their existing smart video network, by separating and compartmentalising cameras to handle data requirements, or do they increase its storage capabilities? As some people begin to venture out and return to work following initial COVID-19 measures, we are also seeing demand for thermal imaging technology increase. New technology like this combined with more of these always-on systems being rolled out, means organizations will need to carefully consider their smart video strategy. Newer edge computing will play an important role in capturing, collecting, and analyzing data and there are some key trends you can expect to see as a result of this evolution. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices and sensors. Video data is so rich nowadays, you can analyze it and deduce a lot of valuable information in real-time, instead of post-event. Edge computing and smart security As public cloud adoption grew, companies and organizations saw the platform as a centralized location for big data. However, recently there’s been opposition to that trend. Instead we are now seeing data processed at the edge, rather than in the cloud. There is one main reason for this change in preference: latency. Newer edge computing will play an important role in capturing, collecting, and analyzing data Latency is an important consideration when trying to carry out real-time pattern recognition. It’s very difficult for cameras to process data – 4K surveillance video recorded 24/7 – if it has to go back to a centralized data center hundreds of miles away. This data analysis needs to happen quickly in order to be timely and applicable to dynamic situations, such as public safety. By storing relevant data at the edge, AI inferencing can happen much faster. Doing so can lead to safer communities, more effective operations, and smarter infrastructure. UHD and storage AI-enabled applications and capabilities, such as pattern recognition, depend on high-definition resolutions such as 4K – also known as Ultra High Definition (UHD). This detailed data has a major impact on storage – both the capacity and speeds at which it needs to be written, and the network. Compared to HD, 4K video has much higher storage requirements and we even have 8K on the horizon. As we know, 4K video has four times the number of pixels as HD video. In addition, 4K compliant video supports 8, 10, and 12 bits per channel that translate to 24-, 30- or 36-bit color depth per pixel. A similar pattern holds for HD — more color using 24 bits or less color using 10 or 12 bits in color depth per pixel. Altogether, there is up to a 5.7x increase in bits generated by 4K vs. 1080 pixel video. Larger video files place new demands on data infrastructure for both video production and surveillance. Which means investing in data infrastructure becomes a key consideration when looking into smart security. Always-on connectivity Whether designing solutions that have limited connectivity or ultra-fast 5G capabilities, most smart security solutions need to operate 24/7, regardless of their environment. Yet, on occasion, the underlying hardware and software systems fail. In the event of this, it is important to establish a failover process to ensure continued operation or restore data after a failure, including everything from traffic control to sensors to camera feeds and more. Consider the example of a hospital with dozens or even over a hundred cameras connected to a centralized recorder via IP. If the Ethernet goes down, no video can be captured. Such an event could pose a serious threat to the safety and security of hospital patients and staff. For this reason, microSD cards are used in cameras to enable continuous recording. Software tools – powered by AI – can then “patch” missing data streams with the content captured on the card to ensure the video stream can be viewed chronologically with no content gaps. Thermal imaging Health and safety is the number one priority for all organizations as people return to work and public spaces. Some organizations are deploying thermal imaging to help screen individuals for symptoms as they return. Organizations that operate with warehouses, depots and assembly lines will traditionally have large amounts of cameras located outside of the entrance. With thermal imaging smart video in place, these cameras can now serve a dual purpose as a screening device. The thermal imaging technology is capable of detecting elevated body temperatures, with 10-25 workers being scanned in one shot, from one camera – making it an efficient and accurate process. This way, staff can use the information to help identify people who may need further screening, testing, and/or isolation before returning to work. There are many more types of cameras being used today, such as body cameras, dashboard cameras, and new Internet of Things (IoT) devices While this may not increase data storage requirements, it can change your retention policies and practices. Smart security today is about utilising AI and edge computing, to deliver an always-on, high-resolution video provision that can help keep people safe 24/7. These trends increase the demands and importance of monitoring, which means requirements of the supporting data infrastructure improve to match that, including the ability to proactively manage the infrastructure to help ensure reliable operation. Companies need to make sure they have considered all the storage and policy challenges as part of their smart security strategy for the future.
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.
Senstar and Aimetis, a Senstar company, showcases perimeter intrusion detection and video management solutions at Security 2018. New products, including the Security Innovation Award finalist Senstar LM100 hybrid perimeter intrusion detection and intelligent lighting system, and Senstar Symphony 7.1 video management software, were on display at Booth 5C09. “Since the last Security show we have introduced exciting new products and have been working hard to transition Aimetis to the Senstar brand,” said Senstar’s VP of Sales – EMEA Fabien Haubert. “We look forward to demonstrating how bringing together the world’s largest portfolio of perimeter intrusion detection products and world-class video management software creates intelligent, integrated security solutions that provide true value for our customers.” Implement Video Analytics Products on display includes: The Senstar LM100 combines two key security functions in one cutting-edge product, acting as a powerful deterrent against intruders by detecting and illuminating them at the fence line. The Senstar LM100 is one of 13 finalists from 75 entries for the prestigious Security Innovation Awards to be presented at the show. Senstar Symphony 7.1 is the new benchmark for intelligent video management software (VMS) allowing for control of an entire video surveillance system Senstar Symphony 7.1 is the new benchmark for intelligent video management software (VMS) allowing for control of an entire video surveillance system from one central location. Users can connect and configure cameras, monitor open spaces, implement video analytics, and use centralized cloud management tools for multi-site management. Intelligent Surveillance System Symphony Analytics are ideal for businesses searching for a more efficient and intelligent surveillance system. License Plate Recognition – track, record and report vehicle license plates. Face Recognition – identify known and unknown individuals. Outdoor Object Tracker – classify people and vehicles, filtering objects by size and location FlexZone is a cable-based fence-mounted system that detects and locates any attempt to cut, climb or otherwise break through the fence. FlexZone adapts to most fence types and is ideal for sites of all sizes. Thin Client is a PC alternative designed to easily display 1080p video from 30+ network video manufacturers, as well as digital signage. Its easy setup and compact design are ideal for space constrained environments. For live demonstrations of the above products and others, visit Senstar at Security 2018 Booth 5C09.
Senstar has announced the beginning of a transition period to bring Aimetis under the Senstar brand. Senstar, a provider of perimeter intrusion detection systems (PIDS), acquired Aimetis, a provider of video management systems (VMS) and analytics, in April 2016. Since then, the two companies have worked in parallel to continue to provide PIDS and VMS solutions. However, over the coming months, Senstar and Aimetis will become one company, resulting in reduced complexity, improved performance, and unified support. Combining PIDS With VMS “Bringing together the PIDS expertise of Senstar with the VMS and analytics knowledge of Aimetis enables us to offer an unrivaled range of innovative security solutions and world-class support,” said Senstar President Brian Rich. “Throughout the transition period we are committed to ensuring as little disruption as possible to our business. Our customers and partners can expect the same accessible, responsive and flexible sales and support they have always relied on, and to be well-informed regarding any changes that may affect them.” The combination of PIDS and VMS addresses a growing trend in the security industry to reduce complexity by enabling customers and partners to source comprehensive security solutions from a single provider, resulting in reduced costs and greater accountability. Network Manager Integration Senstar is also pleased to introduce the integration of its Network Manager alarm reporting system and Symphony VMS (formerly Aimetis). Network Manager is a software gateway that allows communication with a wide array of Senstar sensors, including FlexZone®, FiberPatrol®, OmniTrax®, and UltraWave™. Symphony, the new benchmark for intelligent video management, is an ideal software solution for recording, monitoring and analyzing video from both single server installations and multi-server deployments. The integration enables Symphony to receive the full range of alarm and status information from Senstar sensors via an IP connection. For each sensor alarm the full range of Symphony’s security responses can be initiated, including commanding camera actions and providing visual and audio alerts.
With the current state of economic uncertainty, there is a huge opportunity in 2017 for perimeter intrusion detection (PID) manufacturers to reach the commercial market. Petty crime rates, such as theft and vandalism, are on the rise and, as a result, small business owners are looking for new security options to enhance their current camera and alarm systems. Often thought of as complicated, expensive, and only for high-value applications, PID has a chance to change its perception in the years ahead. The winners in this space will be security companies who can provide simple and reliable products at the right price point. Impact Of 2016 Presidential Election Presidential elections in the United States are of great importance to the security industry, with many companies trying to anticipate early on what the impact will be and to plan accordingly. The 2016 election was particularly interesting because of the extensive security and international trade narratives propagated by Donald Trump. Looking to 2017, with Trump taking office, the industry awaits news about if and when he will implement the measures he spoke about in his campaign. For Senstar, the aforementioned commercial PIDs opportunities will be a big focus for 2017. As well, we will continue to work to holistically integrate our new video/IVA capabilities with our PID products to offer our customers comprehensive perimeter security solutions. Convergence And Growth In 2016 Our predictions for the year 2016 were fairly accurate as the convergence of physical and cyber security continued and several low-cost radar solutions were developed and launched to address drones. In terms of the video/IVA market, which we correctly predicted would continue to grow in 2016, Senstar added video capabilities to our portfolio by acquiring Aimetis, a world-class video analytics and management company. Senstar is now poised to offer customers even more options for securing critical assets and infrastructure. One prediction that failed to materialize was an increased demand for fiber optic-based sensors. Sales in that space remained flat as potential customers for these products looked to more cost-effective copper-based solutions. See the full coverage of 2016/2017 Review and Forecast articles here
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