March Networks Network Video Recorders (NVR) / Network DVRs(18)
Exhibiting at ISC West 2018: booth number 26047 March Networks’ new 8724 V Tribrid NVR delivers support for high-definition (HD) analog video in addition to IP and standard analog video channels on a single, integrated platform. The recorder provides organizations with the custom combination of video capture they need right out of the box. It enables them to get sharp HD video using existing analog infrastructure, while avoiding the cost and disruption typically required to replace coaxial cable with Ethernet. Available in an innovative, space-saving wall mount, and delivering all the reliability and serviceability customers have come to expect from March Networks, the 8724 V Tribrid NVR makes it easy for retailers, financial institutions, school districts and other organizations to transition to an intelligent, HD video solution affordably and at their own pace. The NVR’s unique design uses analog power and Power over Ethernet (PoE) modules to support a variety of IP and HD analogue video configurations, up to a maximum of 24 channels. For example, an organization could deploy an 8724 V to capture HD video from eight HD analogue and 16 IP cameras at one location, and eight IP and 8 HD analog cameras with another 8724 V at a second site. All camera licensing is included regardless of the configuration, making the recorder even more cost-effective. To ensure reliability, the 8724 V incorporates a customized embedded Linux OS that eliminates unnecessary background services and frequent system updates. Other reliability features include diagnostic LEDs, an internal battery backup, and real-time system health monitoring via March Networks Command™ video management software. The recorder is also simple to maintain, thanks to unique QR codes that work with March Networks’ free GURU Smartphone App to enable instant configuration audits, troubleshooting, warranty checks and other capabilities using a smartphone or tablet. In addition, the NVR’s modular configuration and convenient form factor also make it an ideal recording engine for the quick service and fast casual markets as part of March Networks’ cloud-based Searchlight for QSR service.Add to Compare
Real Time / Timelapse / Event, 64, Software solution, Inbuilt multiplexer, HDD, 64 TB, USB, Multiple NVR support, Removable HDD, Linux, 115 ~ 230 V AC, 85 ~ 210 W, 11.6, 88.6 x 482 x 534, 0 ~ 40 C (32 ~ 104 F), 5 ~ 95Add to Compare
Increase safety and reduce risk on board your transit vehicles with March Networks® RideSafe MT Series IP Recorders. These all-IP units deliver highly-reliable video surveillance recording and management in a compact, rugged design that is ideal for mid-sized vehicles – like student and patient shuttles and paratransit buses. Available in 4-channel and 6-channel models, the RideSafe MT Series solution enables operators to capture everything that’s happening on the bus, inside and out. Whether you have one or a thousand vehicles, this plug-and-play recorder can operate as a standalone unit programmable through embedded software, or be remotely managed and monitored daily using March Networks Command™ for Transit video management software. Video from the recorder can also be integrated with existing CAD and AVL systems and mobile routers. Key RideSafe MT Series features include: Front panel LEDs for easy recorder diagnostics, including operational, recording and video export status Embedded Linux OS, to ensure reliable and secure video recording Real-time health monitoring, alerting operators to camera, recorder and network issues before they affect performance Vehicle metadata integration from CAD/AVL systems and accelerometers for accurate re-enactments, driver monitoring and investigations Configurable recording policies based on schedule, motion, incident/event and other user-definable variables Powerful video management software, providing the advanced tools and features needed to manage entire fleets Automated video and data extraction over WiFi or 4G networks Extended thermal range (ETR) models availableAdd to Compare
Real Time / Timelapse / Event, 48, Software solution, Inbuilt multiplexer, HDD, 64 TB, USB, Video motion detection, Expandable to multi NVRs, Removable HDD, Linux, 115 ~ 230 V AC, 85 ~ 210 W, 11.6, 88.6 x 482 x 534, 0 ~ 40 C (32 ~ 104 F), 5 ~ 95Add to Compare
32, Hardware solution, HDD, 16 TB, 25 fps - PAL / 30fps - NTSC, PAL. NTSC, 8 in, 4 out, 4, unbalanced, 10kohms, 1Vp-p typical / 2, unbalanced, 600ohms, 1Vp-p, Video motion detection, 115 / 230 V AC, 75 W, 8.4, 80 x 442 x 406, 5 ~ 40 C (41 ~ 105 F), 5 ~ 95Add to Compare
16, Hardware solution, HDD, 16 TB, 25 fps - PAL / 30fps - NTSC, PAL. NTSC, 8 in, 4 out, 4, unbalanced, 10kohms, 1Vp-p typical / 2, unbalanced, 600ohms, 1Vp-p, Video motion detection, 115 / 230 V AC, 75 W, 8.4, 80 x 442 x 406, 5 ~ 40 C (41 ~ 105 F), 5 ~ 95Add to Compare
8, Hardware solution, HDD, 8 TB, 25 fps - PAL / 30fps - NTSC, PAL. NTSC, 2 in, 1 out, 2, unbalanced, 10kohms, 1Vp-p typical / 1, unbalanced, 600ohms, 1Vp-p, Video motion detection, 110 / 220 V AC, 60 W, 3.3, 918 x 287 x 306, 5 ~ 40 C (41 ~ 105 F), 5 ~ 95Add to Compare
4, Hardware solution, HDD, 2 TB, 25 fps - PAL, 30fps - NTSC, PAL. NTSC, 2 in, 1 out, 2, unbalanced, 10kohms, 1Vp-p typical / 1, unbalanced, 600ohms, 1Vp-p, Video motion detection, 110 / 220 V AC, 15 W, 1.5, 81 x 212 x 126, 5 ~ 40 C (41 ~ 105 F), 5 ~ 95Add to Compare
16, Hardware solution, HDD, 12 TB, USB, 15 fps, 4 in, 2 out, 4, unbalanced, 10kohms, 1Vp-p typical / 2, unbalanced, 600ohms, 1Vp-p, Video motion detection, 115 / 230 V AC, 90 W, 5.9, 81 x 430 x 406, 5 ~ 40 C (41 ~ 105 F), 5 ~ 95Add to Compare
16, Hardware solution, HDD, 12 TB, USB, 15 fps, 4 in, 2 out, 4, unbalanced, 10kohms, 1Vp-p typical / 2, unbalanced, 600ohms, 1Vp-p, Video motion detection, 115 / 230 V AC, 90 W, 8.4, 80 x 442 x 406, 5 ~ 40 C (41 ~ 105 F), 5 ~ 95Add to Compare
Real Time / Event, 20, Software solution, Hardware solution, Inbuilt multiplexer, Recording, Archive, HDD, 3.840 TB ~ 4.096 TB, USB, 600 fps, 2 MP ~ 5 MP, 2 in, 1 out, 2 isolated differential inputs, 10kohms, 1Vp-p typical, Video motion detection, Client Server NVR Application, Direct client image streaming, 24 ~ 110 V DC, 87 x 263 x 265, -25 ~ 55 C (-13 ~ 131 F)Add to Compare
Browse Network Video Recorders (NVR) / Network DVRs
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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 organization'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. Organizations that deploy video surveillance devices paired with advanced analytics programs often leave themselves vulnerable to a breach without even realizing 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 paralyze 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 analog 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 organization 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 organization 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 organization is the first step. Commonplace cybersecurity standards Below is a list of commonplace cybersecurity standards that all organizations 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 analyzes 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 behaviors, 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.
March Networks, a global renowned video security and video-based business intelligence solutions company, is pleased to announce the expansion of its Retail Solution to include fraudulent return investigations through the Zebra Savanna data intelligence platform. March Networks’ new integration – between its Searchlight for Retail software and Doddle, which designs, develops and integrates consumer fulfilment technology – is powered by Zebra Savanna, a cloud-based platform that enables the real-time collection of data from Zebra Technologies’ sensors and devices. March Networks Searchlight March Networks Searchlight logs events from Zebra Savanna and other systems within the retail environment Through this unique collaboration, March Networks Searchlight logs events from Zebra Savanna and other systems within the retail environment, like Doddle, that are powered by the Zebra platform. Searchlight can then match those events with corresponding video clips for greater enterprise-wide visibility. For example, with the Searchlight-Doddle integration, retailers using Doddle can keep a record of all of their product returns in Searchlight. When a customer arrives in-store to return a product facilitated by Doddle’s returns technology, Searchlight records that event, allowing retailers to quickly and easily pull up the surveillance video associated with the return. This allows retailers to visually verify the details of all product returns, including the individuals involved and the condition of the product at the time of the return. Zebra Savanna cloud-based platform In addition, the integration also tracks other retail events such as coupon use at the point-of-sale (POS). Retailers offering coupons through fulfillment partners like Doddle that are powered by Zebra Savanna can track the full buying cycle in Searchlight. When a customer uses a coupon, it’s recorded in Zebra Savanna and visible in Searchlight, allowing retailers to track the success of promotions offered through third-party vendors. “As more consumers turn to online channels for their retail purchases and returns, these latest Searchlight capabilities bridge the gap between digital and in-store transactions, providing retailers with complete visibility into the buying cycle,” said Jeff Corrall, Director of Strategic Partnerships and Integrations for March Networks. “According to the National Retail Federation (NRF), 11% of retail purchases are returned and an average 8% of returns are fraudulent. With Searchlight, retailers can proactively detect and target this fraud, and recoup associated losses.” Power of integrated data and video “By working with leading retail manufacturers like Zebra Technologies and fulfillment technology companies like Doddle, March Networks is proving the true power of integrated data and video, and its ability to positively impact the retail bottom line.” Returns can have an impact on retailers’ margins, especially over peak periods" “Returns can have an impact on retailers’ margins, especially over peak periods,” said Gary O’Connor, Chief Technology Officer (CTO) at Doddle. “Working with partners like March Networks means the Doddle platform can provide deeper insight. Retailers have the ability to re-convert customers through personalized digital journeys, while also having access to more capability to prevent fraud.” Integration with RFID data from Zebra sensors March Networks’ Retail Solution is used by more than 300 retailers worldwide to facilitate improved efficiency and compliance, reduction in losses and risk management, thereby enhancing customer service and compete more successfully in the market. Searchlight is the centerpiece of the solution that helps retailers to improve performance and profitability through the integration of clear surveillance video, relevant business data, including POS transactions, and highly accurate analytics. March Networks’ Searchlight also integrates with radio frequency identification (RFID) data from Zebra sensors and devices for enhanced product tracking, loss prevention and inventory management. March Networks will showcase the Searchlight for Retail-Doddle integration powered by Zebra Savanna in Zebra Technologies’ booth #3301 at NRF 2020: Retail’s Big Show Expo, January 12-14 in New York, NY.
March Networks, a global video security and video-based business intelligence solutions provider firm, is pleased to announce the integration of its Searchlight for Retail software with Cova, the point-of-sale (POS) software system designed specifically for cannabis dispensaries. Cova POS platform The integration enables cannabis businesses using the Cova POS platform to improve performance The integration enables cannabis businesses using the Cova POS platform to improve performance and profitability with Searchlight’s video-based business intelligence. Through its unique combination of surveillance video, POS transaction data and analytics, Searchlight helps retailers gather transformative insights on customer service, operations and promotional efforts. It also alerts businesses to suspect transactions, like frequent voids or unusual discounts, and ties all POS transactions to surveillance video for rapid investigation. “Combining Searchlight’s transaction reporting and business intelligence capabilities with Cova’s POS platform gives cannabis dispensaries one complete solution for sales transactions, loss prevention, business optimization and compliance,” said Jeff Corrall, Director of Strategic Partnerships and Integrations, March Networks. Searchlight for Retail software integration with Cova Jeff adds, “Both March Networks and Cova are committed to delivering scalable, easy-to-use software that helps cannabis operators fully comply with government requirements. We are pleased to add Cova to our portfolio of integrations for the cannabis market.” Gary Cohen, CEO of Cova Software, said “the seamless integration creates a powerful tool for cannabis retailers. These connected platforms provide visibility and context that helps operators make confident decisions with peace of mind,” said Cohen. “We’re excited to work with partners like March Networks, who share Cova’s commitment to help retailers simplify compliance and gain the insights they need to grow their business.” Radio frequency identification (RFID) tags Tailor-made for the cannabis industry, Cova POS is used by more than 500 cannabis stores Tailor-made for the cannabis industry, Cova POS is used by more than 500 cannabis stores. It incorporates features like an age verification scanner and purchasing limits to help retail dispensaries comply with state/provincial and federal regulations on cannabis sales. The platform is also fully integrated with leading seed-to-sale traceability systems in the U.S. March Networks’ solution for cannabis operators also helps with seed-to-sale tracking and compliance by correlating data from radio frequency identification (RFID) tags with surveillance video in Searchlight. In states like Colorado, where RFID tagging from seed to sale is mandated by law, Searchlight allows cannabis operators to search for tagged product by date, time, product code or serial number and pull up the associated surveillance video. Cannabis supply solutions Searchlight is part of March Networks complete solution for cannabis operators. The solution covers all stages of the cannabis supply chain including cultivation, testing, retail sales and secure delivery. Leading cannabis businesses, including two of the largest cannabis companies in the world, currently use March Networks.
March Networks, a video security and video-based business intelligence provider, announces that the rapidly growing U.S. convenience store chain Yesway has selected its Searchlight for Retail solution for advanced video surveillance and analytics. Yesway is currently deploying March Networks Searchlight for Retail in 136 locations across Iowa, Kansas, Oklahoma, Missouri, Texas, Nebraska, New Mexico, South Dakota and Wyoming. The c-store chain, which is operated by an affiliate of Brookwood Financial Partners, LLC, is expanding across the U.S. and plans to standardize on March Networks as it moves forward. Asset protection investigations Brandon Pohlman, Yesway Safety & Asset Protection Manager, said the company selected Searchlight for its scalability and centralized management features as well as its powerful exception-based reporting capabilities. Through its combination of high-quality video surveillance, point-of-sale (POS) transaction data and analytics, Searchlight helps Yesway visually monitor operations at all of its sites and quickly analyze transaction data for anomalies. “Having our video surveillance, POS data and analytics together on one easy-to-use platform is a huge advantage for Yesway,” said Pohlman. Using the software, the c-store can rapidly search and sort all of its transactions and match them with corresponding video clips. The company can also group higher-risk transaction types like refunds and assign risk factors to its stores based on the number of these transactions. “The insights uncovered by Searchlight have helped Yesway reduce its shrink levels and improve the speed and efficiency of asset protection investigations,” Pohlman said. Advanced system management software Yesway is also deploying March Networks 8000 Series Hybrid NVRs for reliable video recording In addition to asset protection, Searchlight also delivers valuable business intelligence through the integration of video analytics including people counting, line length and dwell time. Several different Yesway departments use Searchlight’s information to monitor operations, merchandising and customer service across the organization. Iverify, a full-service interactive security company and March Networks certified partner, managed the Yesway installation. Marty Brakel, Iverify National Account Manager, said March Networks’ products are ideal for the c-store market. “March Networks Searchlight is a professional-grade solution for customers like Yesway that need robust loss prevention tools and the ability to manage hundreds of locations simultaneously,” said Brakel. In addition to Searchlight, Yesway is also deploying March Networks 8000 Series Hybrid NVRs for reliable video recording, and March Networks SE2 Series IP Cameras for high-quality video capture. It is managing the solution with March Networks Command Enterprise, advanced system management software that simplifies multi-site video management. Improve customer satisfaction “With March Networks’ complete solution for c-stores, organizations like Yesway can cut losses and improve customer satisfaction as well as operational efficiency,” said Net Payne, Chief Sales & Marketing Officer, March Networks. "Because Searchlight is also available as a hosted service, c-stores and other retailers can enjoy all the benefits of this powerful solution for a low monthly fee. They can have peace of mind knowing that March Networks’ trained professionals are monitoring and maintaining the health of the video system on their behalf.”
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