QNAP Network Video Recorders (NVR) / Network DVRs(26)
Real Time / Timelapse / Event, 4, Triplex, HDD, 4 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 25 W, 2.92, 150 x 102 x 216, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 8, Triplex, HDD, 4 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 25 W, 2.92, 150 x 102 x 216, 0 ~ 40, 0 ~ 95Add to Compare
QNAP Security, a world class manufacturer of PC-less Network Video Recorder (NVR) solutions is pleased to announce its participation in ASIS International 2010, the US. QNAP Security will introduce the latest 2/4/6-drive VioStor Pro NVR Series, the powerful IP video surveillance systems featuring high-definition local display for PC-less configuration, monitoring, and playback via a VGA connector. VioStor Pro NVR Series is an ideal surveillance solution for all sorts of security-conscious environments. It supports up to 120-channel monitoring, high quality H.264, MPEG4, M-JPEG, and MxPEG recording, maximum 12TB storage (6-bay model), and comprehensive event management tools. The new NVR Series incorporates a dual-core Intel® Atom™ processor to deliver exceptional performance of maximum network throughput of 176Mbps with extremely low power consumption. QNAP will also demonstrate the entire lineup of the 1 to 8-drive VioStor NVR models and the latest dual-core Intel® Atom™ VMware Ready™, Citrix® XenServer certified, and Microsoft Hyper-V compliant Turbo NAS (Network-Attached Storage) Series.Visit: Booth 2996, Dallas Convention Center, TexasExhibit Dates/Times: October 12-14, 2010 (Tuesday-Thursday), 9:00 am-4:30 pm dailyNetwork Video Surveillance System (NVR) Series Watch a demo of the VioStor network video recorder from QNAP QNAP VioStor NVR is a Linux-based, standalone IP video surveillance solution for network-based real-time monitoring, video recording, and playback. VioStor NVR supports high quality H.264, MPEG4, M-JPEG, and MxPEG recording from popular network camera brands including AXIS, ACTi, A-MTK, Arecont Vision, AVTECH, Canon, Cisco, CNB, Brickcom, DIGITUS, D-Link, EDIMAX, ELMO, EtroVision, GANZ, Hikvision, iPUX, IPX, IQeye, LevelOne, Linksys, Messoa, MOBOTIX, NAKAYO, Panasonic BB/BL/i-Pro, SANYO, SHANY, SONY, TOA, TOSHIBA, TRENDnet, Videosec, VIOSECURE, VIVOTEK, and Y-CAM. VioStor NVR offers industry-leading surveillance features such as 120-channel monitoring from multiple VioStor NVR servers, Intelligent Video Analytics (IVA), digital watermarking, SMS alert, up to 16TB storage capacity (8-bay models), and an exclusive mobile surveillance application VSMobile for wireless monitoring via iPod, iPhone, iPad, and Windows PDA phones. 8-bay, 16TB, 2U Chassis, VS-8040U-RP/VS-8032U-RP/VS-8024U-RP NVR (40/32/24-channel): Intel® Core™2 Duo 2.8GHz CPU, 2GB memory Redundant power supply available Megapixel recording Max network throughput: 300 Mbps 8-bay, 16TB, VS-8040/VS-8032/VS-8024 NVR (40/32/24-channel): Intel® Core™2 Duo 2.8GHz CPU, 2GB memory Megapixel recording Max network throughput: 300 Mbps 6-bay, 12TB, VS-6020 Pro/VS-6016 Pro/VS-6012 Pro NVR (20/16/12-channel): Dual-core Intel® Atom™ CPU & 1GB memory PC-less network surveillance by HD local display Megapixel recording Max network throughput: 176 Mbps 5-bay, 10TB, VS-5020/VS-5012 NVR (20/12-channel): Intel® Celeron® 1.6GHz CPU & 1GB memory Megapixel recording Max network throughput: 138 Mbps 4-bay, 8TB, 1U Chassis, VS-4016U-RP Pro/VS-4012U-RP Pro/VS-4008U-RP Pro NVR (16/12/8-channel): Dual-core Intel® Atom™ CPU & 1GB memory Redundant power supply available PC-less network surveillance by HD local display Megapixel recording Max network throughput: 176 Mbps 4-bay, 8TB, VS-4016 Pro/VS-4012 Pro/VS-4008 Pro NVR (16/12/8-channel): Dual-core Intel® Atom™ CPU & 1GB memory PC-less network surveillance by HD local display Megapixel recording Max network throughput: 176 Mbps Power-saving design, consumes only 35W 2-bay, 4TB, VS-2012 Pro/VS-2008 Pro/VS-2004 Pro NVR (12 /8 /4-channel): Dual-core Intel® Atom™ CPU & 1GB memory PC-less network surveillance by HD local display Megapixel recording Max network throughput: 176 Mbps Power-saving design, consumes only 25W 1-bay, 1TB, NVR-104 (4-channel) Up to 30 fps at CIF for each channel Power-saving design, consumes only 18W QNAP Turbo NAS Series Intel® Atom™ iSCSI Turbo NAS SeriesQNAP Turbo NAS Series is available from 2 to 8-bay models. Turbo NAS is certified as compatible with VMware® vSphere4 (ESX 4.0 and above), Citrix® XenServer™, and Microsoft Hyper-V virtualization platforms. The entire series offers enterprise-level iSCSI features such as SPC-3 compliant, multiple LUNs per target, MPIO, MC/S, and LUN (logical unit number) masking. Other features include dual Giga LAN, RAID 0/1/5/6/5 + hot spare/6 + hot spare configurations, online RAID capacity expansion, online RAID level migration, iSCSI target service with Thin Provisioning, Virtual Disk Drive support, AES 256-bit volume-based encryption, and more. Turbo NAS supports both 2.5-inch and 3.5-inch hard disk drives and up to 16TB storage capacity. It is an ideal solution for storage expansion of VioStor NVR Series.Add to Compare
QNAP Security, a leading manufacturer of Linux-embedded, stand-alone Network Video Recorder (NVR) solutions announced the launch of VioStor Pro Series, the world's first Linux-based NVR capable of truly PC-less quick configuration, monitoring of IP cameras over the network, and video playback via a high-definition (HD) VGA monitor or TV. The new models include 2-drive VS-2012 Pro/2008 Pro/2004 Pro, 4-drive desktop VS-4016 Pro/4012 Pro/4008 Pro and rack mount VS-4016U-RP Pro/ 4012U-RP Pro/4008U-RP Pro, and 6-drive VS-6020 Pro/6016 Pro/6012 Pro, all incorporate dual-core Intel® Atom™ processor and 1GB memory to deliver high performance network throughput of 176Mbps for high quality megapixel recording and extremely low power consumption. VioStor Pro Series NVR are pre-installed with the latest firmware version 3.3.0 which provides high quality H.264, MPEG4, M-JPEG, and MxPEG recording from over 800 IP camera and video server models of 36 brands, including AXIS, ACTi, A-MTK, Arecont Vision, AVTECH, Brickcom, Canon, Cisco, CNB, DIGITUS, D-Link, EDIMAX, ELMO, EtroVision, GANZ, Hikvision, iPUX, IPX, IQeye, LevelOne, Linksys, Messoa, MOBOTIX, NAKAYO, Panasonic BB/BL/i-Pro, SANYO, SHANY, SONY, TOA, TOSHIBA, TRENDnet, Videosec, VIOSECURE, VIVOTEK and Y-CAM. The NVR also supports abundant features such as 120-channel monitoring from multiple VioStor NVR servers without installing any other software, Intelligent Video Analytics (IVA) for faster video retrieval, generic IP camera integration by JPEG CGI command, digital watermarking, advanced event management, email and SMS alert, online RAID capacity expansion, online RAID level migration, HDD S.M.A.R.T., and dual Giga LAN. "QNAP is a market leader striving to provide full-featured, reliable, and innovative surveillance solutions for all sorts of security applications. We are proud to redefine the administration experience of the Linux-based NVR systems by supporting full HD (1920 x 1080) local display," said Andrew Yu, Product Manager from QNAP. "VioStor NVR administrators can configure the system, monitor the IP cameras and play the video conveniently via only a USB mouse and a VGA monitor connected to VioStor NVR. This is a feature that no other Linux-based network surveillance solutions can compare in the current market." For more information about VioStor Pro Series, please click here.The new VioStor NVR firmware version 3.3.0 also brings other stunning features including new IP camera models, and localised interface in Turkish. For the firmware download and further information, please visit this link.Add to Compare
Real Time / Timelapse / Event, 4, Triplex, HDD, 1 TB, 30 fps, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 18 W, 0.71, 165.5 x 60 x 218.4, 0 ~ 40, 0 ~ 85Add to Compare
Real Time / Timelapse / Event, 4, Triplex, HDD, 1 TB, 30 fps, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 18 W, 0.71, 165.5 x 60 x 218.4, 0 ~ 40, 0 ~ 85Add to Compare
Real Time / Timelapse / Event, 8, Triplex, HDD, 4 TB, 30 fps, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 110 ~ 240 V AC, 37 ~ 44 W, 1.74, 150 x 102 x 216, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 12, Triplex, HDD, 4 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 25 W, 2.92, 150 x 102 x 216, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 16, Triplex, HDD, 8 TB, 30 fps, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 7.6, 44 x 439 x 499, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 8, Triplex, HDD, 8 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 35 W, 4.65, 177 x 180 x 235, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 12, Triplex, HDD, 8 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Multiple NVR support, Linux-embedded, 100 ~ 240 V AC, 35 W, 4.65, 177 x 180 x 235, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 16, Triplex, HDD, 8 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Multiple NVR support, Linux-embedded, 100 ~ 240 V AC, 35 W, 4.65, 177 x 180 x 235, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 8, Triplex, HDD, 8 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 62 W, 7.63, 44 x 439 x 499, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 12, Triplex, HDD, 8 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, USB, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 62 W, 7.63, 44 x 439 x 499, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 16, Triplex, HDD, 8 TB, 30 fps, 1920 x 1080, Inbuilt multiplexer, Viewing, Playback, Recording, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 62 W, 7.63, 44 x 439 x 499, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 24, Triplex, 16 TB, 30 fps, Inbuilt multiplexer, Viewing, Playback, Recording, Video motion detection, Windows XP/ Vista/ 7, 100 ~ 240 V AC, 81 W, 9.8, 298 x 200 x 270, 0 ~ 40, 0 ~ 95Add to Compare
Real Time / Timelapse / Event, 8, HDD, 2 TB, 240 fps, Inbuilt multiplexer, Viewing, Playback, Recording, NTSC, PAL, Video motion detection, Linux-embedded, 100 ~ 240 V AC, 25.2 W, 2.4, 214 x 175 x 115, 0 ~ 40, 0 ~ 90Add to Compare
Browse Network Video Recorders (NVR) / Network DVRs
Network Video Recorder (NVR) products updated recently
In 2017, IoT-based cyberattacks increased by 600%. As the industry moves towards the mass adoption of interconnected physical security devices, end users have found a plethora of advantages, broadening the scope of traditional video surveillance solutions beyond simple safety measures. Thanks in part to these recent advancements, our physical solutions are at a higher risk than ever before. With today’s ever evolving digital landscape and the increasing complexity of physical and cyber-attacks, it’s imperative to take specific precautions to combat these threats. Video surveillance systems Cybersecurity is not usually the first concern to come to mind When you think of a video surveillance system, cybersecurity is not usually the first concern to come to mind, since digital threats are usually thought of as separate from physical security. Unfortunately, these two are becoming increasingly intertwined as intruders continue to use inventive methods in order to access an organisation's assets. Hacks and data breaches are among the top cyber concerns, but many overlook the fact that weak cybersecurity practices can lead to physical danger as well. Organisations that deploy video surveillance devices paired with advanced analytics programs often leave themselves vulnerable to a breach without even realising it. While they may be intelligent, IoT devices are soft targets that cybercriminals and hackers can easily exploit, crippling a physical security system from the inside out. Physical security manufacturers Whether looking to simply gain access to internal data, or paralyse a system prior to a physical attack, allowing hackers easy access to surveillance systems can only end poorly. In order to stay competitive, manufacturers within the security industry are trading in their traditional analogue technology and moving towards interconnected devices. Due to this, security can no longer be solely focused on the physical elements and end users have taken note. The first step towards more secured solutions starts with physical security manufacturers choosing to make cybersecurity a priority for all products, from endpoint to edge and beyond. Gone are the days of end users underestimating the importance of reliability within their solutions. Manufacturers that choose to invest time and research into the development of cyber-hardening will be ahead of the curve and an asset to all. Wireless communication systems Integrators also become complicit in any issues that may arise in the future Aside from simply making the commitment to improve cyber hygiene, there are solid steps that manufacturers can take. One simple action is incorporating tools and features into devices that allow end users to more easily configure their cyber protection settings. Similarly, working with a third party to perform penetration testing on products can help to ensure the backend security of IoT devices. This gives customers peace of mind and manufacturers a competitive edge. While deficient cybersecurity standards can reflect poorly on manufacturers by installing vulnerable devices on a network, integrators also become complicit in any issues that may arise in the future. Just last year, ADT was forced to settle a $16 million class action lawsuit when the company installed an unencrypted wireless communication system that rendered an organisation open to hacks. Cybersecurity services In addition, we’ve all heard of the bans, taxes and tariffs the U.S. government has recently put on certain manufacturers, depending on their country of origin and cybersecurity practices. Lawsuits aside, employing proper cybersecurity standards can give integrators a competitive advantage. With the proliferation of hacks, malware, and ransomware, integrators that can ease their client's cyber-woes are already a step ahead. By choosing to work with cybersecurity-focused manufacturers who provide clients with vulnerability testing and educate end users on best practices, integrators can not only thrive but find new sources of RMR. Education, collaboration and participation are three pillars when tackling cybersecurity from all angles. For dealers and integrators who have yet to add cybersecurity services to their business portfolios, scouting out a strategic IT partner could be the answer. Unlocking countless opportunities Becoming educated on the topic of cybersecurity and its importance for an organisation is the first step Physical security integrators who feel uncomfortable diving headfirst into the digital realm may find that strategically aligning themselves with an IT or cyber firm will unlock countless opportunities. By opening the door to a partnership with an IT-focused firm, integrators receive the benefit of cybersecurity insight on future projects and a new source of RMR through continued consulting with current customers. In exchange, the IT firm gains a new source of clients in an industry otherwise untapped. This is a win for all those involved. While manufacturers, dealers and integrators play a large part in the cybersecurity of physical systems, end users also play a crucial role. Becoming educated on the topic of cybersecurity and its importance for an organisation is the first step. Commonplace cybersecurity standards Below is a list of commonplace cybersecurity standards that all organisations should work to implement for the protection of their own video surveillance solutions: Always keep camera firmware up to date for the latest cyber protections. Change default passwords, especially those of admins, to keep the system locked to outside users. Create different user groups with separate rights to ensure all users have only the permissions they need. Set an encryption key for surveillance recordings to safeguard footage against intruders and prevent hackers from accessing a system through a backdoor. Enable notifications, whether for error codes or storage failures, to keep up to date with all systems happenings. Create/configure an OpenVPN connection for secured remote access. Check the web server log on a regular basis to see who is accessing the system. Ensure that web crawling is forbidden to prevent images or data found on your device from being made searchable. Avoid exposing devices to the internet unless strictly necessary to reduce the risk of attacks.
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.
Dahua Technology, a solution provider in the global video surveillance industry, announced that an additional 88 models of its Eco-savvy 3.0, Wi-Fi 265 and H.265 PTZ series network cameras are now compatible with QNAP NAS from QNAP Systems, Inc. Now, more customers are able to choose Dahua Technology’s network cameras per their application scenarios. Comprehensive video surveillance Dahua Eco-savvy 3.0 network camera series can deliver real-time 4K video streams at 15 fps, providing security applications with impressive range of smart detection features including face detection, tripwire detection, and intrusion detection. Dahua Wi-Fi 265 series supports H.265 compression, Human Detection and Smart Tracking features. Dahua H.265 PTZ camera can provide large monitoring range with clear details, while the latest H.265 compression cuts bandwidth in half to ensure video recording with great security efficiency and lower cost. QNAP keeps improving product and third-party software compatibility. It released QVR Pro surveillance solution, QVR Center central management software and QVR Guard failover application to integrate comprehensive video surveillance features into NAS, providing live monitoring, storage expandability and storage space management functions for home and business users. Third-party integrations Open, Integration and Innovation has been Dahua Technology’s guiding principle. In recent year, the company has been working with more and more renowned third-party platforms, like QNAP NAS in this case, to greatly broaden the application scale of its cameras. This enables security users to enjoy the products and services provided by Dahua Technology in more applications.
MOBOTIX welcomed almost 200 Alliance and Channel Partners as well as flagship customers to the inaugural Innovation Summit Europe that took place in Valencia, Spain from the 6th to 8th of May. The Summit offered attendees valuable insights into new trends, sneak peeks at new products and technologies along with networking opportunities between the wider pan-European MOBOTIX community. Alongside the Summit, the Technology Partner Expo offered demonstrations showcasing integration capabilities from several technology leaders that work closely with MOBOTIX including ABP, Genetec, Kentix, Konica Minolta, Microsens, QNAP and Sesys. The Summit provided an alliance forum to showcase the exciting collaborative work with our technology partners we are doing across areas such as Cyber Security and Internet-of-Things" Cybersecurity and IoT “Our Innovation Summit expands on our ongoing strategy of making MOBOTIX more open and responsive to the needs of our customers and innovative technology partners,” explains Thomas Lausten, Chief Executive Officer of MOBOTIX. “The Summit also provided an alliance forum to showcase the exciting collaborative work with our technology partners we are doing across areas such as cyber security and Internet-of-things.” The Summit was hosted at the Barceló Hotel in Valencia and kicked-off with a Keynote speech from MOBOTIX CEO Thomas Lausten that provided insights into how Partners can focus on value by solving real world challenges using innovative MOBOTIX technologies. Presentation on video surveillance ‘Put Technology on Everything: Understanding an Exponential World’ was the topic of a talk by Enrique Dans, Futurist and Professor of Innovations at IE Business School of Madrid. In his work as a researcher, disseminator and advisor, Dans studies the effects of technological innovation on people, companies and society. Other presentations and demonstrations touched on areas such as video surveillance and cyber security within a full agenda aimed at helping attendees gain broader insights into emerging trends. “The summit also provided a great opportunity for networking with like-minded partners and MOBOTIX staff to explore potential business opportunities amongst guests that had been invited from nearly 30 countries,” Lausten adds.
QNAP Systems, Inc. has launched the cost-effective high-performance 4-bay (TS-473), 6-bay (TS-673), and 8-bay (TS-873) TS-x73 series NAS featuring an AMD RX-421ND quad-core CPU with Turbo Core up to 3.4GHz and two PCIe slots for installing a QNAP QM2 card, wireless network card or a graphics card to extend NAS functionalities. The TS-x73 series provides small and medium businesses with an ideal NAS solution to build a private cloud for applications including high-speed data transfer, backup/recovery, virtualisation, media playback and graphics display. “The TS-x73 NAS series presents a budget-friendly solution by allowing users to add more value to their NAS based on their individual needs. Through the two PCIe slots, users can install a QNAP QM2 card to add SSD caching/10GbE connectivity for boosted performance; a wireless card with WirelessAP Station app to turn the NAS into a wireless access point; or even an PCIe bus-powered graphics card to enable 4K transcoding and HDMI output for a greater media multimedia experience,” said Jason Hsu, Product Manager of QNAP.The TS-x73 provides optimal storage efficiency across M.2 SSDs, 2.5-inch SSDs and high-capacity HDDs Mitigating ransomware attacks The TS-x73 series is powered by a high-performance and energy-efficient AMD RX-421ND quad-core 2.1 GHz CPU (Turbo Core up to 3.4 GHz) and 4GB/8GB DDR4 RAM (up to 64GB). With an optional 10GbE network card installed, it delivers up to 1661 MB/s throughput and up to 1575 MB/s with AES-NI hardware-accelerated encryption. With two built-in M.2 SATA SSD slots and SSD caching (M.2 SSD sold separately), coupled with Qtier auto-tiering technology, the TS-x73 provides optimal storage efficiency across M.2 SSDs, 2.5-inch SSDs and high-capacity HDDs for balanced cost, performance, and capacity. The TS-x73 series supports block-based snapshots to record the state of the system at any time to help users mitigate the impact of ransomware attacks and to ensure the stability of service operations. Enhanced data protection The TS-x73 series features two PCIe (Gen3 x4) slots that allow greater system flexibility. In addition to installing a 10GbE network card for boosting virtualisation performance, users can also install a QNAP QM2 card that allows for adding two M.2 SSDs for SSD caching or to create a RAID 5-tiered storage along with the two M.2 SSDs in the NAS to increase data protection. There are also QM2 cards that include 10GbE 10GBASE-T connectivity to provide SSD caching with high-speed network connectivity on a single card. Alternatively, users could install a low-power graphics card (powered solely by the PCIe slot) to boost system performance and enable smooth 4K video transcoding and HDMI output; install a wireless network card (for example: QNAP QWA-AC2600) to use the TS-x73 as a wireless base station, allowing users to directly access the NAS, including NAS services and Internet connection.Users can also use QNAP VJBOD technology to leverage the unused space of another QNAP NAS for storage expansion Unified data storage solution The business-ready TS-x73 series is a NAS and iSCSI-SAN unified storage solution that not only supports VMware, Citrix, Microsoft Hyper-V and Windows Server 2016 environments, but can also natively host multiple virtual machines (with Windows, Linux, UNIX and Android) and containers (LXC and Docker). Storage space can be flexibly expanded using two 8-bay UX-800P or 5-bay UX-500P or four 10-bay REXP-1000 Pro expansion enclosures. Users can also use QNAP VJBOD technology to leverage the unused space of another QNAP NAS for storage expansion. Key specifications: TS-473-4G: supports 4 x 3.5-inch HDD or 2.5-inch HDD/SSD, 4GB DDR4 RAM TS-473-8G: supports 4 x 3.5-inch HDD or 2.5-inch HDD/SSD, 8GB DDR4 RAM TS-673-4G: supports 6 x 3.5-inch HDD or 2.5-inch HDD/SSD, 4GB DDR4 RAM TS-673-8G: supports 6 x 3.5-inch HDD or 2.5-inch HDD/SSD, 8GB DDR4 RAM TS-873-4G: supports 8 x 3.5-inch HDD or 2.5-inch HDD/SSD, 4GB DDR4 RAM TS-873-8G: supports 8 x 3.5-inch HDD or 2.5-inch HDD/SSD, 8GB DDR4 RAM Tower model; AMD RX-421ND quad-core 2.1 GHz CPU (burst up to 3.4 GHz), dual channel DDR4 RAM (4 x SODIMM memory slots, upgradable to 64GB); hot-swappable 2.5-inch/3.5-inch SATA 6Gbps HDD/SSD; 2x M.2 SATA 6Gb/s 2280/2260 SSD slots; 2x PCle Gen.3 x4 slots; 4 x USB 3.0 ports; 4x Gigabit LAN ports; 2x 3.5 mm microphone jacks (dynamic microphones only); 1x 3.5 mm Line-out audio jack; 1x built-in speaker
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