Anviz Network Video Recorders (NVR) / Network DVRs(2)
Anviz, a leading provider of intelligent security products and a full-range of intelligent security solutions, is proud to announce its new generation of network video recorder, the TurboStore Series. The HDD-ROM design allows for a quick installation and easy swiping up. Automatic scanning and adding of IP cameras will eliminate the need for IP configuration. Easy phone operation ensures a more secure and convenient environment for remote mobile viewing.Key features of TurboStore: ONVIF: Supports the IP camera connection and other clients with ONVIF Compression: H.264 High Profile. This advanced filtering technology reduces the data rate more than 30% Playback quality: Full real-time synchronised decoding playback Video input: Up to HD 32-channel 1080P/720P Display: Supports VGA and HDMI output Operation interface: Similar to Windows OS, extremely easy to use Internet: Powerful service that supports DHCP, PPPOE, FTP, DNS, DDNS, NTP, UPNP, Email, IP Permission, IP Search, Alarm Center, etc. Complete support assistance (WEB, Client, SDK) for an easier connection Device port: 4*SATA interface, 16T storage, 3 USB interfaces, easy for USB mouse, backups, record, upgrade etc. Browser: Supports multiple internet browsers (IE, xdCHROME, FIREFOX, etc.) Video browse & display: Support HD display screen to browse, playback, configure and other operations, easy to use. Temperature control: Embedded powerful silent fan and low-noise, environmental design providing a more considerate operating condition. External structure: Metal shell, convenient hard drive replacement and professional structure make the device more secure and stable. Intelligent image analysis: Cooperates with IP cameras, supports alarm and VCA combinations, such as intrusion and motion detection Other: Perfect circuit and unique watchdog functions to ensure a permanent working status. TurboStore supports Anviz RVI (Real Time Video Intelligence) cameras, which feature: Object Detection: Object left detection, object move detection, object disappear detection etc. Environment detection: Tamper detection, defocus detection, scene change detection etc. Behaviour analysis: Appearing detection, entering detection, leaving detection, staying detection, loitering detection, following detection etc. Target recognition: Face detection and recognition, license plate detection and recognition etc. The TurboStore Series can also access the Anviz intelligent video surveillance solution IntelliSight, which provides a complete range of solutions, for a smart system for basic surveillance or a more advanced system for security on a larger scale, or even upgrade and replace the current basic facility. IntelliSight supports Mobile APP which gives you quick and easy access to local and remote viewing of real-time video streaming. IntelliSight will provide a lasting, escalating solution for the better development of your business.Add to Compare
Browse Network Video Recorders (NVR) / Network DVRs
Network Video Recorder (NVR) products updated recently
When a child goes missing in a large, crowded mall, we have a panicking mom asking for help from the staff, at least a dozen cameras in the area, and assuming the child has gone missing for only 15 minutes, about 3 hours’ worth of video to look through to find the child. Typical security staff response would be to monitor the video wall while reviewing the footage and making a verbal announcement throughout the mall so the staff can keep an eye out for her. There is no telling how long it will take, while every second feels like hours under pressure. As more time passes, the possible areas where the child can be will widen, it becomes more time-consuming to search manually, and the likelihood of finding the child decreases. What if we can avoid all of that and directly search for that particular girl in less than 1 second? Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streamsWith Artificial Intelligence, we can. Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streams in a fraction of a second, using only one photo of that person. The photo does not even have to be a full frontal, passport-type mugshot; it can be a selfie image of the person at a party, as long as the face is there, the AI can find her and match her face with the hundreds or thousands of faces in the locations of interest. The search result is obtained in nearly real time as she passes by a certain camera. Distinguishing humans from animals and statues The AI system continuously analyses video streams from the surveillance cameras in its network, distinguishes human faces from non-human objects such as statues and animals, and much like a human brain, stores information about those faces in its memory, a mental image of the facial features so to speak. When we, the system user, upload an image of the person of interest to the AI system, the AI detects the face(s) in that image along with their particular features, search its memory for similar faces, and shows us where and when the person has appeared. We are in control of selecting the time period (up to days) and place (cameras) to search, and we can adjust the similarity level, i.e., how much a face matches the uploaded photo, to expand or fine-tune the search result according to our need. Furthermore, because the camera names and time stamps are available, the system can be linked with maps to track and predict the path of the person of interest. AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight Protecting people’s privacy with AI Face Search All features of face recognition can be enabled by the system user, such as to notify staff members when a person of interest is approaching the store AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight. First, with AI Face Search, no names, ID, personal information, or lists of any type are required to be saved in the system. The uploaded image can be erased from the system after use, there is no face database, and all faces in the camera live view can be blurred out post-processing to guarantee GDPR compliance. Second, the lack of a required face database, a live view with frames drawn around the detected faces and constant face matching in the background also significantly reduces the amount of computing resource to process the video stream, hence the lightweight. Face Search versus Face Recognition AI Face Search Face Recognition Quick search for a particular person in video footage Identify everyone in video footage Match detected face(s) in video stream to target face(s) in an uploaded image Match detected face(s) in video stream to a database Do not store faces and names in a database Must have a database with ID info Automatically protect privacy for GDPR compliance in public places May require additional paperwork to comply with privacy regulations Lightweight solution Complex solution for large-scale deployment Main use: locate persons of interest in a large area Main use: identify a person who passes through a checkpoint Of course, all features of face recognition can be enabled by the system user if necessary, such as to notify staff members when a person of interest is approaching the store, but the flexibility to not have such features and to use the search tool as a simple Google-like device particularly for people and images is the advantage of AI Face Search.Because Face Search is not based on face recognition, no faces and name identifications are stored Advantages of AI Face Search Artificial Intelligence has advanced so far in the past few years that its facial understanding capability is equivalent to that of a human. The AI will recognise the person of interest whether he has glasses, wears a hat, is drinking water, or is at an angle away from the camera. In summary, the advantages of Face Search: High efficiency: a target person can be located within a few seconds, which enables fast response time. High performance: high accuracy in a large database and stable performance, much like Google search for text-based queries. Easy setup and usage: AI appliance with the built-in face search engine can be customised to integrate to any existing NVR/VMS/camera system or as a standalone unit depending on the customer’s needs. The simple-to-use interface requires minimal training and no special programming skills. High-cost saving: the time saving and ease of use translate to orders of magnitude less manual effort than traditionally required, which means money saving. Scalability: AI can scale much faster and at a wider scope than human effort. AI performance simply relies on computing resource, and each Face Search appliance typically comes with the optimal hardware for any system size depending on the customer need, which can go up to thousands of cameras. Privacy: AI Face Search is not face recognition. For face recognition, there are privacy laws that limits the usage. Because Face Search is not based on face recognition, no faces and name identifications are stored, so Face Search can be used in many public environments to identify faces against past and real-time video recordings. AI Face Search match detected face(s) in video stream to target face(s) in an uploaded image Common use cases of AI Face Search In addition to the scenario of missing child in a shopping mall, other common use cases for the AI Face Search technology include: Retail management: Search, detect and locate VIP guests in hotels, shopping centres, resorts, etc. to promptly attend to their needs, track their behaviour pattern, and predict locations that they tend to visit. Crime suspect: Quickly search for and prove/disprove the presence of suspects (thief, robber, terrorist, etc.) in an incident at certain locations and time. School campus protection: With the recent increase in number of mass shootings in school campuses, there is a need to identify, locate and stop a weapon carrier on campus as soon as possible before he can start shooting. Face Search will enable the authorities to locate the suspect and trace his movements within seconds using multiple camera feeds from different areas on campus. Only one clear image of the suspect’s face is sufficient. In the race of technology development in response to business needs and security concerns, AI Face Search is a simple, lightweight solution for airports, shopping centres, schools, resorts, etc. to increase our efficiency, minimise manual effort in searching for people when incidents occur on site, and actively prevent potential incidents from occurring. By Paul Sun, CEO of IronYun, and Mai Truong, Marketing Manager of IronYun
With increased demands being placed on safety and security globally, and supported by advancements in IP cameras and 360-degree camera technology, the video surveillance industry is growing steadily. Market research indicates that this worldwide industry is expected to reach an estimated $39.3 billion in revenue by 2023, driven by a CAGR of 9.3 percent from 2018 to 2023. Video surveillance is not just about capturing footage (to review an event or incident when it occurs), but also about data analysis delivering actionable insights that can improve operational efficiencies, better understand customer buying behaviours, or simply just provide added value and intelligence. Growth of Ultra-HD surveillance To ensure that the quality of the data is good enough to extract the details required to drive these insights, surveillance cameras are technologically evolving as well, not only with expanded capabilities surrounding optical zoom and motion range,4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021 but also relating to improvements in signal-to-noise (S2N) ratios, light sensitivities (and the minimum illumination needed to produce usable images), wide dynamic ranges (WDR) for varying foreground and background illumination requirements, and of course, higher quality resolutions. As such, 4K Ultra HD-compliant networked cameras are expected to grow from 0.4 percent shipped in 2017, to 28 percent in 2021, representing an astonishing 170 percent growth per year, and will require three to six times the storage space of 1080p video dependent on the compression technology used. Surveillance cameras are typically connected to a networked video recorder (NVR) that acts as a gateway or local server, collecting data from the cameras and running video management software (VMS), as well as analytics. Capturing this data is dependent on the communications path between individual cameras and the NVR. If this connection is lost, whether intentional, unintentional, or a simple malfunction, surveillance video will no longer be captured and the system will cease operations. Therefore, it has become common to use microSD cards in surveillance cameras as a failsafe mechanism. Despite lost connectivity to the NVR, the camera can still record and capture raw footage locally until the network is restored, which in itself, could take a long time depending on maintenance staff or equipment availability, weather conditions, or other unplanned issues. Since microSD cards play a critical role as a failsafe mechanism to ensure service availability, it is important to choose the right card for capturing video footage. It has become common to use microSD cards in surveillance cameras as a failsafe mechanism if an NVR breaks Key characteristics of microSDs There are many different microSD cards to choose from for video capture at the network’s edge, and they range from industrial grade capabilities to commercial or retail grade, and everything in-between. To help make some of these uncertainties a little more certain, here are the key microSD card characteristics for video camera capture. Designed for surveillance As the market enjoys steady growth, storage vendors want to participate and have done so with a number of repurposed, repackaged, remarketed microSD cards targeted for video surveillance but with not much robustness, performance or capabilities specific to the application. Adding the absence of mean-time between failure (MTBF) specifications to the equation, microSD card reliability is typically a perceived measurement -- measured in hours of operation and relatively vague and hidden under metrics associated with the camera’s resolution and compression ratio. Therefore, when selecting a microSD card for surveillance cams at the edge, the choice should include a vendor that is trusted, has experience and a proven storage portfolio in video surveillance, and in microSD card technologies. Endurance, as it relates to microSD cards, represents the number of rewrites possible before the card can no longer store data correctly High endurance Endurance, as it relates to microSD cards, represents the number of rewrites (program/erase cycles) that are possible before the card can no longer store data correctly. The rewrite operation is cyclical whereby a new stream of footage replaces older content by writing over it until the card is full, and the cycle repeats. The higher the endurance, the longer the card will perform before it needs to be replaced. Endurance is also referred to in terabytes written (TBW) or by the number of hours that the card can record continuously (while overwriting data) before a failure will occur. Health monitoring Health monitoring is a desired capability that not many microSD cards currently support and enables the host system to check when the endurance levels of a card are low and needs to be replaced. Having a card that supports this capability enables system integrators and operators with the ability to perform preemptive maintenance that will help to reduce system failures, as well as associated maintenance costs. Performance To capture continuous streams of raw footage, microSD cards within surveillance cams perform write operations about seventy to ninety percent of the time, whereas reading captured footage is performed about ten to thirty percent. The difference in read/write performance is dependent on whether the card is used in an artificial intelligent (AI) capable camera, or a standard one. microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius Finding a card that is write-friendly, and can provide enough bandwidth to properly capture streamed data, and is cost-effective, requires one that falls between fast industrial card capabilities and slower commercial ones. Bandwidth in the range of 50 MB/sec for writes and 80 MB/sec for reads are typical and sufficient for microSD cards deployed within surveillance cameras. Temperature ranges Lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments As microSD cards must be designed for continuous operation in extreme weather conditions and a variety of climates, whether located indoors or out, support for various temperature ranges are another consideration. Given the wide spectrum of temperatures required by the camera makers, microSD cards deployed within surveillance cameras should support temperature ranges from -25 degrees Celsius to 85 degrees Celsius, or in extreme cases, as low as -40 degrees Celsius. Capacity Selecting the right-sized capacity is also very important as there needs to be a minimum level to ensure that there is enough room to hold footage for a number of days or weeks before it is overwritten or the connectivity to the NVR is restored. Though 64GB is considered the capacity sweet spot for microSD cards deployed within surveillance cameras today, lower capacity support of 32GB can provide room to attract the smaller or entry-level video surveillance deployments. In the future, even higher capacities will be important for specific use cases and will potentially become standard capacities as the market evolves. When choosing the right storage microSD card to implement into your video surveillance system, make sure the card is designed specifically for the application – does it include the right levels of endurance and performance to capture continuous streams – can it withstand environmental challenges and wide temperature extremes – will it enable preventative and preemptive maintenance to provide years of service? It is critical for the surveillance system to be able to collect video footage whether the camera is connected to an NVR or is a standalone camera as collecting footage at the base of the surveillance system is the most crucial point of failure. As such, failsafe mechanisms are required to keep the camera recording until the network is restored.
By 2020, video surveillance using fixed, body and mobile cameras is expected to capture an astounding 859 PB of video daily. Increasing retention regulations and higher resolution cameras, are forcing the video surveillance industry to reassess its approach to data storage. Large capacity primary storage tends to be expensive to procure and costly to implement – especially without a sound architecture that can balance storage performance levels with the speed of access needed to recall video footage. Active archive strategy These challenges are thrusting storage tiers to the forefront of system design. Storage tiers in video surveillance had previously meant simply using a separate archive or attaching add-on capacity directly to network video recorders. Many of the new storage options designed for video surveillance are pulling together different storage tiers into a single storage architecture Many of the new storage options designed for video surveillance are pulling together different storage tiers (and in some cases storage media) into a single storage architecture, such as an active archive solution. This balance can be achieved with an active archive strategy that automates migration of data between different storage types, to ensure the data is on the correct storage type at the correct time to meet performance and retention requirements without blowing the budget. This approach also ensures ease of access while automatically moving content from more expensive tiers of storage to more cost-effective long-term tiers of storage. This allows for greater efficiencies in how recorded footage is treated throughout its lifecycle. In some cases, it includes moving data from edge devices to centralised storage, and then to the public cloud. Scalable video storage solutions As storage demands have increased, video management vendors have turned to storage specialists for solutions that can accommodate large numbers of high-resolution video files, metadata associated with the footage for easy searching, along with much needed scalable solutions. In terms of video management software, this means the integration of video content from different storage types, tiers and physical locations is required, and which considers the performance profile of each storage type. With an active archive solution, video content is searchable and accessible directly by the end users regardless of where it is stored. Deploying an active archive solution enables surveillance users to reduce the complexity and costs of managing data for long term retention As seen in many product categories, camera and storage vendors continue to provide extremely competitive offerings. But, storage-specific solutions for video surveillance have lagged behind the roadmaps for video equipment and, as more and more cameras have entered the market, less attention has been placed on video storage capacities. Tiered storage strategy The surveillance industry has evolved considerably from the days of the 8mm video recorder; however, enterprise storage solutions will be forced to evolve further to cope with changing storage retention requirements. Video storage is quickly becoming one of the most expensive parts in a surveillance solution, but there is hope. Deploying an active archive solution will enable surveillance users to reduce the complexity and costs of managing from terabytes to petabytes of data for long term retention. By finding a storage solution that delivers the ability to implement a tiered storage strategy, users can adhere to regulation requirements to retain video footage and meet their safety and security objectives, while also significantly reducing storage costs and operational expenses.
Anviz OA1000 Mercury Pro provides fast, accurate verification of fingerprint and Mifare card SEMARNAT (Mexico Government institution, Secretariat of Environment and Natural Resources) Mexico's environment ministry is charged with the mission of protecting, restoring, and conserving the ecosystems, natural resources, assets and environmental services of Mexico with the goal of fostering sustainable development. DR Security is a company highly recognised in the field of solutions, integrations and services in the field of security technology, concentrating on new technologies, achieving and maintaining the highest quality. It is always maintaining an ethical interaction between customers, companies and employees within it. Solution offices SEMARNAT has 40 branches and 2000 employees nationally. The principal office is located in Mexico City that manages 40 branches in other cities. And more than 2000 users need to access their different branch buildings everyday, so there are two identification modes required on the integrated system consisting of the visitor only with card identification mode and employee with card and FP identification mode. Every two OA1000 Mercury Pro controls one Single Lane Flap Barrier. When employees punch card and place the FP to get access granted, the single lane flap barrier will open. OA1000 Mercury Pro with FP identification function increases the security level, and makes it the ideal choice to build intelligent and secure Access Control Application System. Anviz OA1000 Mercury Pro DR Security integrated Anviz OA1000 Mercury Pro after strict testing and evaluation with ANVIZ R&D professional support team. Due to its highest quality and performance of OA1000 Mercury Pro with very fast, accurate verification of fingerprint and Mifare card, also high quality Mercury Sensor from Lumidigm USA, finally they chose this solution as the best solution. OA1000 Mercury Pro is one of Anviz fingerprint flagship models, based on the Linux operating system, with features of dual-core high-speed CPU; large memory support; and 1: 30000 matching high speed in less than 0.5 seconds. Multiple communication modes are available: TCP/IP, WIFI & 3G optional. Its built-in webserver allows fast, easy access to the device settings and record searching. Benefits of the Anviz solution After the installation of OA1000 Mercury Pro integrated with the single lane flap barrier, Mexico government SEMARNAT had received users’ positive feedback and realised real-time monitoring the employees or visitors’ entry/exit buildings, improved office security level, saved labour cost to maximum. Meanwhile, other institutions of Mexico government are interested in this and wish to apply this security system.
Anviz also introduced a new generation of device-P7, the smallest PoE fingerprint pin and RFID standard alone access control The International Security Conference West 2016 (ISC West) event was a tremendous success for the organisers, exhibitors and attendees held from April 6-8 at the Sands Expo Convention Center in Las Vegas. Anviz announced the latest innovation at the show with an Intelligent Security System SecurityONE, which provides a building with the functions of access control, video surveillance, fire & smoke alarm, intrusion detection and visitor management. Anviz new technologies and products Anviz also introduced a new generation of access control device-P7, which is one of the smallest PoE fingerprint pin and RFID standard alone access control in the world. IP cameras were also showed, and one essential part of Anviz surveillance system. TopView series is a vandal-resistant high-performance fixed HD network camera, up to 5MP. The embedded RVI (Real time Video Intelligence) algorithm ensures the functions of behavioural analysis, anomaly detection, intelligent recognition etc. It is suitable for monitoring indoor or outdoor areas. For Anviz, the exhibition provides not only a platform to present new technologies and products, but also a chance to exchange experience with peers and experts. Anviz expresses deep thanks to all those who stopped by its booth. Save
Access control now includes a strong focus on the data integration side ofthe business, as showcased at this year’s ISC West When the category of physical security emerged many decades ago, it was literally all about locks, hardware and creating barriers such as fences to keep people out. Fast forward to ISC West 2016 in Las Vegas this week, where the focus is on intelligent solutions, smart data, cloud-based access control and incorporating audio, video and a wide range of safeguards in a total, integrated approach. LE-802 Intelligent Audio Analytic System Louroe Electronics, Van Nuys, California, is one of the original pioneers of audio technologies, and as systems continue to merge and converge, the element of sound provides a much-needed added dimension to fortifying physical security applications. Louroe Electronics is unveiling the LE-802 Intelligent Audio Analytic System, offering a robust and easy-to-install application for unattended audio monitoring on specific events analysing the presence of gunshots, aggressive speech, glass breaking and car alarms. The system is a complete hardware and software solution housed in a weather- and vandal-resistant enclosure for outdoor applications. It also integrates with most video management and monitoring systems and works as a standalone edge solution analysing sounds in real time, according to Chris Gaunt, Manager of North American Sales. Connecting audio to video surveillance “Audio security gives you another piece of the puzzle and makes what was a silent movie come to life,” he says, adding that the bread and butter for the company is tying audio to video surveillance, as an attachment to cameras or nearby as an enhancement to surveillance. “For example, in schools, some 80 percent of verbal encounters lead to something aggressive, and now we can do something with preventative audio software,” he says. The company partnered with an analytics company to build the additional audio capabilities into its product, which also fits markets such as public safety, commercial and law enforcement, in addition to education. It also brought to market the Verifact® a gunshot detector for active shooter incidents. Louroe Electronics demonstrated the Verifact® Gunshot Detector at ISC West Data builds intelligent processes A common theme of data and added intelligence was front and centre at the show – getting more from physical security. Vanderbilt Industries, Parsippany, New Jersey, introduced Vanderbilt VI Connect at the show, a custom-configurable data management system that integrates Vanderbilt’s security management system (SMS), with third party, disparate systems of any size to automate business workflow. Automation for error reduction Mitchell Kane, President of Vanderbilt Industries, says the process of access control has changed and now includes a strong focus on the data integration side of the business. “Automating workflow makes the process less labour-intensive and eliminates user error in programming permissions and schedules. The entire process is automated and performed through web interfaces and hosting. Everything we automate means one less thing to do and one less chance of doing something wrong.” VI Connect establishes rules engines and also can provide the systems integrator with detailed security audits and reports for the end user. For example, the solution can be used in higher education environments where student data — demographic information, enrolled courses, housing information and badging settings — can be processed and manipulated through the VI Connect system, ensuring that a student is only allowed to gain access to campus buildings that are relevant to that particular student’s major. CrossChex time attendance and access control management system Anviz, an intelligent security provider with roots in biometric and RFID applications, is making its move to the cloud with the CrossChex Time Attendance and Access Control Management System. The company offers three different levels to expand the scope of specification possibilities: Desktop for small and medium businesses; Professional designed for enterprise web-based management; and Cloud for global enterprise applications. Brian Fazio, Director of Global Sales, Shanghai, China, says the three different versions provide a full solution for every type of user and their specific time and attendance applications. “CrossChex satisfies the time and attendance and access control requirements in different, complicated environments,” he says, and it also provides report management and a mobile application function that can be applied and accessed via smartphones. The lines of typical product categories continue to blur. The focus is on integrating a wide range of solutions to meet the challenges and issues of the end-user customer.
Why outdated access control systems are a big problemDownload
Five things to consider for AI with video technologyDownload
OSDP is the strongest access control for your businessDownload
- March Networks safeguards WCCO Belting with its enhanced video surveillance solution
- Malaysian government selects Surveon NVR7800 Series for enhanced security of water treatment plant
- Bosch Secures Mohn Media printing company with its advanced technology and networked solution
- Bank of Hawaii Uses March Networks Video Solution for Strategic Planning