Combining thermal imaging with analytics provides a robust system Prices are dropping for thermal cameras. Now they are much more affordable for non-military customers – and more likely to be used in combination with video analytics. Combining thermal imaging with analytics provides a robust system; the technologies work well together. Thermal cameras make it easier to detect motion because you are eliminating much of the detail and only emphasising temperature “colors,” says Brian Lane, director of marketing, 3VR. When video analytics are tuned to be used with thermal cameras, alerts are only sent if there is motion with color signatures between 95 and 105 degrees F, for example. This removes motion from trees in the wind, birds, and other things that cause false positives. Thermography analytics have a host of uses within security and other industries. Thermal surveillance cameras can be combined with video analytics to deliver sophisticated image interpretation and comprehension for customers requiring detection in low-light or zero-light environments, says Maor Mishkin, director, Video Analytics Product Champion, DVTEL. DVTEL has developed the ioimage Thermal line as an automated detection solution for security deployments in critical infrastructure, perimeter security, oil and gas, and transportation markets. Analytic encoders allow the cameras to deliver an advanced level of analytic capabilities to reduce false alarms while maintaining a high probability of detection. Thermal imaging is ideal for a variety of low-light conditions, says Mishkin. The infrared detector senses the energy (or heat) that all objects, structures and people emit. This approach enables a more consistent image than traditional cameras in harsh environments, such as those affected by fog, haze, smog, smoke, rain and extreme variances in temperature. By combining video processing video analytics and raw video together in an edge device, you can get greater detection range – reducing costs – and greater detection accuracy, which increases security Thermal cameras sense heat and have always been known as the perfect “human detector” for night applications, says John Romanowich, CEO, SightLogix, Inc. Now they perform very well in bright sun and bad weather, making them an excellent choice for securing sites around the clock, he adds. SightLogix combines thermal cameras with video analytics and supported with sufficient video processing. The company’s smart thermal cameras now accurately detect intruders with very low nuisance alerts even in the most difficult outdoor conditions, says Romanowich. SightLogix’ camera systems use electronic stabilisation to compensate for wind and vibrations and geo-registration capabilities to create accurate size filters that ignore the movement of small animals, trash, trees, etc. They are ruggedised to withstand temperature extremes, weather, sand and dust. With the right system, video analytics can deliver excellent security results, Romanowich says. Thermal camera costs continue to fall even as video processing continues to increase, allowing customers to deploy military-grade intrusion detection solutions to solve general problems that include theft and vandalism, he adds. In effect, smart thermal cameras expand the function of a burglar alarm from inside the building out to the perimeter, with the same level of reliability and low costs that we expect from home/office systems. SightLogix takes a different approach from other video analytics manufacturers. First, SightLogix products are focused exclusively on the outdoor market. Second, the company has determined the only way to provide accurate video analytics outdoors is to apply a very high level of video processing in advance of the video analytics using the raw thermal video data as it leave the imager, all combined into a single edge solution. “This is the only way to make outdoor video analytics accurate, repeatable and cost-effective,” says Romanowich. SightLogix recognized that an edge-based approach that ties the imager, video analytics and video processing tightly together is mandatory when designing a system capable of overcoming outdoor variables. This is because once video has been compressed and sent over the network to a separate server for analysis, there is not enough video detail available to differentiate relevant motion – such as a human intruder – from irrelevant motion, such as trash or trees blowing in the wind. By combining video processing video analytics and raw video together in an edge device, you can get greater detection range – reducing costs – and greater detection accuracy, which increases security.
Analytics at the edge provide the ability to process what is happening in a field of view and discern if a relevant alert is triggered There are multiple benefits to using video analytics at the edge (i.e., near or inside the camera). For one thing, analytics at the edge provides the ability to process what is happening in a field of view and discern if a relevant alert is triggered. This can be faster and less expensive than the original video analytics model of using a separate dedicated server. However, there isn’t one right solution, as a video analytics' complexity and a camera’s processing power are not always aligned. Some analytics can begin the analysis at the camera and also utilize a server to balance the workload. Others may be best used in server-only models. Speed of alert is of importance, as results that are not urgent may not dictate a powerful camera. Another variable is whether the system needs actual video of an event or just information (metadata) from that video. When recorded video is not required at a server, intelligent cameras at the edge help lessen the required bandwidth, says Brian Lane, director of marketing, 3VR. He says intelligent cameras and the cloud go hand-in-hand. For example, only metadata is needed when counting people; therefore, intelligent cameras can do all the processing in the camera, and only the metadata is sent to the cloud. For security, only a low-bandwidth stream is sent to the cloud, while the high-resolution video is stored at the camera. When video is required, the edge advantage becomes far less, since the video must reach the server to be recorded, adds Lane. Having analytics such as face and demographics at the server level keeps the cost of the cameras low since the processor on the server does most of the work. Processing power on servers is far cheaper than having a robust processor in each camera. Analytics that require a lot of processing power greatly increase the cost of the cameras, since they must have a robust processor. When the processing takes place at the server level, the customer can keep overall costs down by using far cheaper cameras and using a centralized server-based system. Edge-based analytic cameras offer a host of benefits to facilities that need to monitor large perimeters, complex campus environments or geographically dispersed open spaces Sometimes, a combination is optimal. For example, Agent Vi has a patented approach that enables analytics processing both at the server and distributed to the edge. The Agent VI system operates on a server between the camera and the video management system (VMS), analyzing video streams and providing output of that analysis. A software module called “Vi Agent” runs inside video encoders and cameras at the edge (including brands such as Axis, Samsung, Hikvision, and Vivotek). The Agent Vi software completes “preprocessing” at the edge and sends information to the server, which completes the process and provides the output. Unlike strictly edge-based analytics, the approach is not limited by processing power and memory in the camera. Compared to server-only installations, the system is more scalable (by a factor of 10 to 20 compared to server-based systems), says Zvika Ashani, chief technology officer (CTO), Agent Video Intelligence (Agent Vi). The Vi Agent and server are the same for various verticals; various functionalities are activated per user based on license keys, with various licensing at different price points. Ashani notes a trend in the market of camera vendors turning their cameras into open platforms to allow software vendors to load analytics (and other applications) onto the cameras. Previously, software vendors had to work closely with camera vendors, even creating special software versions. “Today, the cameras are not yet at the level of an iPhone or Android [platform], but they are much more open and there is greater variety in terms of applications you can load,” he says. Ipsotek has always seen edge-based analytics as an interesting alternative to traditional server-based (centralized) solutions. Edge deployment lends itself to a distributed solution where infrastructure is not available, hence where transmitting video of high quality to a centralized server is not an option. Transport (road/rail) has been a major beneficiary of edge-based analytics technology, says Dr. Boghos Boghossian, CTO, Ipsotek. The lack of infrastructure results in a need for a more complex management of rules and possibly more challenging environmental aspects. In order to operate advanced video analytics solutions at the edge, a suitable hardware platform should be provided with enough processing power. However, often at the edge, the system must be rugged and should operate at high temperature extremes; consequently, the availability of such a hardware platform is less likely. There isn’t one right solution,as a video analytic’s complexityand a camera’s processing powerare not always aligned “Because of these issues, most manufacturers have opted to offer only basic analytics solutions at the edge,” says Boghossian. “Ipsotek took a different route, and through the use of digital signal processing technology, has managed to move its technology to the edge with no compromise to performance, feature list or robustness.” Ipsotek has been offering cloud-based systems to a number of large customers for a few years. The interesting correlation is the larger adoption of cloud-based solutions in projects based on edge analytics due to the lack of infrastructure and therefore reverting to cloud storage for data management. This trend may soon be overtaken by cloud-based video analytics, which is waiting for sufficient affordable bandwidth to stream video to the cloud at the required speed and quality. Edge-based analytics run on raw video data as opposed to encoded video on the server, allowing the analytics to gather more sensitive and accurate data, says Maor Mishkin, director, Video Analytics Product Champion, DVTEL. In addition, it allows the analytics to control the sensor and enable optimized video input for the analytic engine. Edge-based analytic cameras offer a host of benefits to facilities that need to monitor large perimeters, complex campus environments or geographically dispersed open spaces. Edge-based analytic devices do not rely on servers or third-party software. This reduces the network bandwidth requirements while maintaining performance at the highest level. In addition, when technology developers offer a complete solution that ties in edge analytics and video management, users benefit from a single, tightly integrated solution, which means there is less opportunity for failure, Mishkin says.
Video analytics allow users to automate the use of video and extract more value Almost anyone in the video analytics market will admit that the capabilities of the technology were initially oversold. The first generation of analytics simply didn’t work as promised, and an undercurrent of distrust of the technology in general still haunts the market. Ironically, video analytics capabilities have now matured into a robust and dependable option for a variety of applications. Suppliers are eager to get the word out. “Since video analytics were introduced to the security market, we have learned enough about customer needs and the technology to offer fully robust solutions that can provide significant value to the end customer,” says Maor Mishkin, director, Video Analytics Product Champion, DVTEL. DVTEL’s focus today is on the analytics that provide the most value such as people counting, loitering and directional, he adds. Processing power has increased to allow analytics to be pushed out to the edge, increasing use cases and reliability, adds Mishkin. DVTEL’s ioimage video analytics line is a comprehensive portfolio for outdoor perimeter protection. DVTEL’s HD cameras feature built-in analytics, enabling both edge-based and server-based flexibility. Serving a range of vertical markets, ioimage cameras help to increase the probability of detection and reduce the false alarm rate. Site View, a web-based remote live viewing and playback feature, enables operators to respond quickly in real-time and also investigate incidents after they happen. Ioimage IP analytics are available over H.264 video for the company’s HD and thermal cameras, or as a server-based video analytics solution (SVA) through DVTEL’s Latitude NVMS. DVTEL’s video analytics portfolio includes server-based and edge-based analytics to maximize the advantages of either approach, depending on the application. The smart cameras work independently or as a complement to perimeter intrusion detection sensors and other technologies. Since 2005, ioimage’s team has fine-tuned the advanced algorithm-based technology, which has increased market acceptance. The company has invested significantly in R&D and expanded system reliability and flexibility. Driving Value For The User Generally speaking, video analytics allow users to automate the use of video and extract more value. Without applying analytics, surveillance systems tend to create large amounts of video that isn’t doing anyone any good. It is captured and archived using terabytes of expensive storage, and then it’s deleted after a time, having provided no value. Agent Vi has identified three types of applications for video analytics that can drive value for the user: -- Real-Time Event Detection, allowing the user to transform the video system into a proactive detection system rather than a passive viewing system. -- Forensic Investigations, cutting down on the costs of investigations by making it easier to search video based on video analytics and other parameters. -- Business Analytics, providing data that would otherwise be impossible to collect, such as people-counting, and in-store behavior analysis in the retail environment. The only alternative would be to position a person at a store entrance or throughout the store to observe activity and count customers with a “clicker.” “These days, most of the customers are comfortable that this is actually going to work,” says Zvika Ashani, chief technology officer (CTO), Agent Video Intelligence (Agent Vi). “There’s still an education process. People have heard of video analytics, but they don’t really understand or know what the analytics are. It’s not what they saw on TV. Once their expectations are well defined, they can get a lot of benefit out of it.” DVTEL’s focus is on the analytics that provide the most value such as people counting, loitering and directional Meeting Diverse Operational Needs Verint offers multiple analytics for refining video into “actionable intelligence.” For situations that may be simple or complex, Verint Video Analytics offer a range of capabilities for security, surveillance and business applications. Security analytics are focused on opportunities to identify target individuals or vehicles, based on unique identifiers or simply discerning which video has people or vehicles within the frame of view. Surveillance analytics help in identifying crowding, loitering, or objects left behind. Business analytics seek to support pattern identification for retail merchandising and checkout excellence. Most customers are interested in some mix of these analytics to fit their diverse environments and operational needs. “The first wave of analytics met the harsh realities of customer environments and eroded confidence in all areas of the security advisory community, most notably among security consultants,” says Joshua Phillips, director of product marketing, video and situation intelligence solutions, Verint Systems Inc. Accuracy, processing load, and application guidelines have improved greatly since analytics first burst on the scene over 10 years ago, and it’s time for evolution to take its course, he adds. Video analytics can help a customer move toward a system that is easier or less expensive to operate, says Phillips. A video analytic detecting an anomaly can be programmed to set in motion a security response that has been pre-defined, such as a guard or officer dispatch to the specific area. Without the analytic, the security operations center is relying on the operator to have the appropriate camera view open at the right time, visually discern the breach, and be able to take action to initiate the response. If the problem is clearly understood, and the analytic rules are applied, the customer in this case gets the result they want – expedited response. This simple example may require an additional means of verifying the accuracy of the analytic detection, says Phillips. The customer may have other sensors available through other systems, or cameras, which if triggered could be paired with the video analytic to create an enhanced alarm, he says. Analytics In A Complex World iOmniscient specialises in video and other analytics in practical context situations – such as a crowded scene. For example, it’s easy to find a bag left behind in an empty room, but much more complex to identify that bag if there are 1,000 people in the scene. In face recognition applications, iOmniscient only requires 22 pixels between the eyes to identify a person (while some competitors require up to 300 pixels). Therefore, using iOmniscient, a standard camera can recognize people 50 meters away in an uncontrolled environment, says Dr. Rustom Kanga, CEO of iOmniscient. "Most customers don’t know what to ask for; they get things that don’t work. Where we have well-educated customers, we are the most successful. We spend time educating them about the technology in depth" “It’s a complex world, and we specialize in complex environments,” says Kanga. Many customers try to implement inexpensive systems that are “simple and trivial” to address situations that are complex, which is why many systems fail, he adds. Kanga points to the Boston bombing incident as an example of a situation where iOmniscient’s system would have been helpful. The system would have been able to identify the bag left behind (containing the explosives) amid the crowded scene. It also could have employed face recognition to identify the person who left the bomb, and it could have sent information in real-time to a nearby first responder. An automated response capability is a new development of the iOmniscient system. It locates the nearest police car or other first responder and sends an alert. The capability can reduce response time on street accidents from 25 minutes to under 5 minutes, Kanga says. The feature is also useful for applications when there is no central control room; if there are five security officers, the system can identify and notify the officer nearest the scene. Kanga attributes early problems among video analytics companies to the short attention spans of venture capitalists looking to make a quick profit on the emerging technology. “It took 10 years to develop the technology, so they didn’t have time to wait for it,” Kanga comments. “We raised our own money and built it. The technologies have taken a long time to build, but they are robust and are implemented in many places.” Video analytics keeps improving, based on improving algorithms, says Kanga. One improvement in the iOmniscient system is better people counting accuracy – now 99 percent versus the previous 95 percent. A requirement for successful implementation of video analytics is that customers ask clearly for what they want, says Kanga. If a requirement is to “find a bag,” a lower-cost system might be proposed. However, if the proposal is to “find the bag in a crowded scene if the view of the bag is obscured 50 percent of the time,” lower-cost systems would immediately be ruled out. “Customers are learning to ask for what they actually require,” says Kanga. “Most customers don’t know what to ask for; they get things that don’t work. Where we have well-educated customers, we are the most successful. We spend time educating them about the technology in depth. They become good customers. When implemented properly, the systems give you good results.” iOmniscient also combines video analytics with sound analysis and smell analysis. Sound analysis might include gun shots or people shouting. An example of smell analysis is a recent project in Asia, where the customer wanted to detect the threat of an electrical fire before it starts. The smell sensor alerts to the scent of plastic getting hot. (It’s actually a third-party sensor that enables analysis of a “chemical signature;” iOmniscient has adapted it.) An example of the benefit of multiple types of analysis can be seen in the case of a person falling down. A video analytics system can alert on the incident, and typically a security person would hurry to the scene to help the fallen person. However, if a sound analysis also indicates a gunshot at the same time the person falls down, the response would be very different.
The aviation and transportation industries are using video analytics to provide operational cost savings and performance enhancement Video analytics are now increasingly being used for the critical infrastructure, airports, transportation and city surveillance sectors, among other high-value markets. These markets need robust video analytics solutions that can be integrated into an overall security solution to deliver totally reliable results without any significant level of nuisance alerts. “We expect these markets to continue growing in hand with increasing advances in research and development for video analytics,” says Bill Flind, CEO, Ipsotek. Aviation and transportation industries are good examples where video analytics provide additional benefits including operational cost savings and performance enhancement, Flind says. Security personnel who were previously required to physically man certain areas can now be freed up to enhance security elsewhere on a site. Transportation and city surveillance sectors benefit from improved safety, compliance and business intelligence through early detection of potential hazards as they develop, triggering alerts for action before incidents occur. The market has been generally slow to adopt video analytics, says Flind. “We believe this is due to the historically disappointing results from many of the early technologies (that were over-promised and under-delivered),” he says. A good example is the many times when a “basic” system has been deployed onto what the customer had believed was a simple environment (e.g., perimeter fence of an airport or a power station), and then that system has become unusable because it generates hundreds (in some cases, thousands) of nuisance alarms each day. Flind adds: “The change that we are now seeing is that most potential customers now understand that a far more advanced technology will deliver an excellent solution into these environments – specifically, it is now widely understood that the power of a scenario-based solution like Ipsotek’s is required to deliver a robust solution even in these simple applications.” “What we are seeing now in the marketplace is that video analytics is being specified, but specified in a discerning and intelligent way, where the client and the client’s trusted advisors have an appreciation of the difference in the capability of the different technologies,” Flind says. 3VR’s VisionPoint VMS uses face, license plate, advanced object tracking, loitering and demographics analytics to search for suspects Ipsotek delivers scenario-based video analytics across a wide range of applications in the commercial and public sectors. Deployments include perimeter protection, intrusion detection, investigation and forensics, and the management of traffic, crowds and operations. The patented scenario-based approach creates an exact description of the target behavior, thereby giving dependable real alerts and dramatically reduced false alarms. Ipsotek has received “i-LIDS Primary” accreditation by the UK Home Office, signifying it is “deployable as the sole system for perimeter protection for sterile zone intrusion.” This recognition of quality and reliable video analytics provides assurance that high-security sites and projects will be monitored to the utmost level of protection. Installations include Transport for London (TfL) traffic management, London Eye, the O2 Arena, Network Rail, the Australian Parliament, plus various international airports and other critical buildings and infrastructures around the world. Meeting Stringent Customer Requirements Another video analytics provider, Agent Vi, is strong at the mid- to high-end of the market, where customer requirements are more stringent. Vertical markets include critical infrastructure and transportation hubs (including airports, seaports, train stations and railroad operations), the enterprise market, and retail. Agent Vi’s rules-based system includes some preconfigured types of objects the system can detect and behaviors it can analyze. The integrator can specify the analytics rules needed on a per-camera basis. For example, one camera might alert if a crowd forms and another might alert if a vehicle stops in the area. A user interface allows operators to set the rules, or they can rely on a systems integrator to set the system up. In the enterprise market, applications might include perimeter security, or detecting people where they shouldn’t be, or detecting tailgating through access control points. Analytics can address safety issues, such as detecting if something is blocking an emergency exit or a vehicle is parked in a no-loading zone. “We provide a fairly extensive tool box, and a lot of times we don’t know the exact configuration or application,” says Zvika Ashani, chief technology officer (CTO), Agent Video Intelligence (Agent Vi). “It’s so versatile.” Video analytics company iOmniscient is active is 30 vertical markets, including transportation (airports, railways, seaports), retail banking, hotels, casinos, the Secret Service, Defense Department, etc. The company is also active in Smart City applications, including Singapore and other locations in the Middle East and Asia. In the North American market, iOmniscient supplies the Chicago Transit Authority, the Mexico City airport, prisons in Vancouver, various oil and gas applications, universities, museums, etc. iOmniscient systems can operate centrally or at the edge, depending on the application. However, at the edge, the software is installed in a black box alongside the camera rather than in the camera because chips inside cameras do not have enough computing power. “When we say edge, we mean near the camera not in the camera,” says Dr. Rustom Kanga, CEO of iOmniscient. Consider Overall System Costs In assessing the costs of video analytics, the traditional practice of considering costs “per camera” is no longer relevant. Rather, the cost of the entire system should be considered, and also how it might be offset by cost savings achieved in other areas. Kanga contends one Smart City application was completed at zero incremental cost – the cost of the system was offset completely by a 70 to 80 percent reduction in storage, bandwidth and computing requirements. “The hardware is half the cost of the system, so if you can reduce it by 80 percent, the whole system can come in at zero incremental cost,” he says. “Our system is very cost-competitive.” "If you don’t have video analytics, you are wasting your money putting in cameras" “If you don’t have video analytics, you are wasting your money putting in cameras,” says Kanga. “If you have 1,000 cameras in a large environment, no one will sit and watch them. They are only useful after the event. Video analytics enables systems to become a useful tool to prevent incidents and to allow a fast response. With video analysis, video becomes a tool that you can use in real time.” Analytics are used to solve a specific problem, says Brian Lane, director of marketing, 3VR. For example, when there are bandwidth restraints, cameras can be set up to send only low-bandwidth video until the analytic detects a car or person. The analytic tells the camera to then send a high-resolution stream to the server for the duration of the event. This helps keep bandwidth and storage requirements low. 3VR’s Customer Insights business is used by retailers, banks, food service, hospitality and other markets to track customers and understand buying habits. Through an interactive dashboard, retailers and others can harness 3VR analytics to provide business intelligence they can use to help increase sales or improve operations. 3VR’s VisionPoint VMS loss prevention and security video management software (VMS) uses face, license plate, advanced object tracking, loitering and demographics analytics to search for suspects. The price of analytics is dropping, and many companies are lowering the barrier to entry by allowing customers to pay monthly or yearly, rather than all at once, says Lane. But, while implementing analytics has become easier, many integrators are not trained on how to set up and install analytics, leading to a frustrated customer. 3VR has specific tried-and-true methods for setting up cameras for analytics, and its integrators are trained on analytic implementation through online and on-site classes. 3VR provides the hardware for highly accurate people counting, and customers can pay for retail analytics monthly. Proactive Perimeter Security According to DVTEL, video analytics provide an ideal solution for proactive perimeter security in the critical infrastructure, transportation and commercial/industrial verticals, as well as general security for healthcare, gaming and other facilities. Going beyond the typical forensic video capabilities, analytics can help users catch criminals during a security event. The technology provides the best ratio of false alarm rates to probability of detection, as well as the most reliable and cost-effective solution for intrusion detection, when compared to legacy perimeter and fence sensors, typical surveillance devices and other video content analysis solutions. DVTEL’s Site Viewer eliminates the need to use a Video Management System to monitor and control remote sites. This makes it suitable for remote sites that cannot install a PC (such as power utility installations, solar farms, cellular and communication facilities, and construction sites) and that have limited network bandwidth. Today’s most effective security systems incorporate other sensors, including perimeter intrusion detection, alarms, remote video monitoring thermal imagery and video analytics, says Maor Mishkin, director, Video Analytics Product Champion, DVTEL. In today’s market, end users demand integrated systems that combine intelligent detection systems to specifically fit their business and risk profile, he adds. By streamlining decision-making and even automating some protocols, video analytics enable organizations to respond more quickly to events By streamlining decision-making and even automating some protocols, video analytics enable organizations to respond more quickly to events, using fewer personnel than would be required with traditional surveillance systems. In addition, ioimage video analytics enable more accurate detection and fewer false alarms by reliably differentiating between legitimate threats and other movement, such as tree branches blowing in the wind. Perhaps most compelling, video analytics has the potential to decrease storage costs for many users, since they are able to record at lower resolution until the system detects suspicious movement. Tight Integration at the Edge High-profile perimeter security breaches at critical sites have underscored the risks associated with physical security breaches and the potentially disastrous consequences. Now organizations – some as a result of pending regulations such as NERC CIP for utilities – are seeking reliable and cost-effective solutions using video analytics to detect intruders and send alarms about security incidents in real time. SightLogix SightSensors are smart thermal cameras with embedded video analytics powered by a high degree of video processing. By tightly integrating the imager, analytics and video processing, SightSensors are able to deliver accurate detection in all weather, climates, and conditions. Some verticals adopting video analytics for outdoor intrusion detection include electrical utilities, specifically substations; airports and other transportation organizations, such as bridges and rail applications; datacenters; and ports. These sites require protection and 24/7 detection for large, open areas that are difficult to patrol. Video analytics with thermal detection cameras combine detection with video verification in a single solution, allowing for a fast and precise response. Beyond security, video analytics combined with outdoor thermal cameras opens up a new world of understanding, from early detection scenarios to looking at behavior that increases operational efficiency.
The ioimage HD camera offers high-sensitivity 2.1MP HD 1080p or 1.3MP HD 720p resolution with true WDR DVTEL, Inc., the video surveillance solutions provider, announced recently the release of its new ioimage HD CF-5222 (2.1MP HD 1080p) and CF-5212 (1.3MP HD 720p) cameras, which bring military-grade video analytics and Quasar HD broadcast-quality IP video together for critical infrastructure protection. The ioimage HD cameras include the benefits of DVTEL’s Quasar high-resolution, low-bandwidth and minimised and predictable storage and are optimized for outdoor and low-light conditions. The cameras also deliver intelligent video analytics to increase the probability of detection and lower false alarm rates. Both the 1080p and the 720p models offer increased detection distance, which means fewer cameras are needed to cover the same area. The ioimage HD cameras can detect intrusions, including regional entrance, tripwire and fence trespassing, as well as unattended baggage, object removal, stopped vehicle, loitering and camera tampering detection capabilities. The ioimage HD camera offers high-sensitivity 2.1MP HD 1080p or 1.3MP HD 720p resolution with true WDR (multi-exposure) and integrated high-end analytic performance. The cameras are DVTEL’s first HD cameras that include state-of-the-art ioimage analytics. Both offer pristine HD picture quality under low-light and high-contrast WDR conditions, and are capable of dealing with the most extreme outdoor perimeter lighting conditions encountered in surveillance applications. DVTEL’s ioimage video analytics line, targeted at the remote monitoring, critical infrastructure and perimeter security markets, is a fast-growing segment of the total video surveillance solution offered by DVTEL. "The ioimage HD camerasprovide our customers withthe best possible securityresources for their organisation'scritical infrastructure" “With the combined Quasar HD and ioimage analytics technology, the new ioimage HD cameras take video surveillance and security to a whole new level,” said Maor Mishkin, DVTEL Product Champion of Video Analytics. “The ioimage HD cameras provide our customers with the best possible security resources for their organization’s critical infrastructure to ensure reliability and scalability for years to come. The cameras are supported on all DVTEL VMS lines and have ONVIF support for ease of integration with third party VMS platforms.” Additionally, the ioimage HD camera’s integrated Web interface offers easy, intuitive deployment of the camera and analytic behavior, which reduces installation time and manpower requirements. The ioimage HD cameras will be available at the end of September 2014 through DVTEL’s distribution channels. See both new releases at the 2014 ASIS International Seminar, held Sept. 29 through Oct. 2, in Atlanta.
DVTEL, INC., the IP video surveillance solutions provider, recently announced that it has completed the integration of DVTEL’s ioimage analytics with the SureView Systems Immix software platform. The integration of the two advanced technologies allows joint customers to tap into new opportunities to monitor perimeters and outdoor areas with increased reliability. Functionalities include the ability to display live or recorded video, send ioimage auto PTZ commands and set preset positions for cameras in real-time. Sureview’s Immix platform consolidates a wide range of security products into one simple operator interface to increase usability and situational awareness. Designed for command centers and central stations, Immix enables customers and partners to gain a complete view over a facility’s security infrastructure while enhancing protection of people and assets. “This strategic partnership provides more open systems options and feature sets to best serve DVTEL and SureView customers across the globe,” said Rob Hile, Director of Strategic Accounts, SureView Systems. “By integrating with DVTEL’s ioimage product line, we provide customers with a layered security software package that delivers enhanced usability and greater situational awareness to better manage perimeter security risks.” DVTEL’s ioimage cameras and encoders deliver intelligent video detection solutions to increase the probability of detection and lower false alarm rates. DVTEL also offers visual and thermal cameras for customers requiring detection and video analytics in low-light or zero-light environments. The smart cameras work independently or as a complement to perimeter intrusion detection sensors and other technologies. DVTEL’s ioimage video analytics line, targeted at the remote monitoring, critical infrastructure and perimeter security markets, is a fast growing segment of the total video surveillance solution offered by DVTEL. “Close partnerships with technology partners like SureView Systems expand user flexibility by offering our customers more choices to expand their security infrastructure,” said Maor Mishkin, Director and Product Champion of Video Analytics, DVTEL. “DVTEL offers a wide variety of technologies to deliver a customized video analytics solution within a seamless, integrated system.”