Dahua Technology IVSS – AI NVR
Dahua Technology IVSS – AI NVR

AI series products adopt the most advanced AI technologies, including deep learning algorithms that primarily target people and vehicles, which provides higher flexibility and accuracy for end-users. This enables the Dahua AI series to offer various advanced applications such as Face Recognition, ANPR, Metadata, People Counting, traffic data statistics, etc. The complete lineup of Dahua AI includes network (PTZ) cameras, network video recorders, servers, and platform management products. Beyond seeing the world, the power of AI allows devices to perceive the environment and understand the world in a better way. System Overview Dahua IVSS goes beyond the ordinary NVR products. It is an Intelligent Video Surveillance Server combines video management functions with traditional video storage operations in one device. Besides the basic functions as network video recorder, IVSS is integrated with features such as face detection, face recognition for different business and industrial applications. With build-in deep learning module, IVSS series products adopt video image structuring technology based on deep learning algorithms, achieving high-precision human face recognition and perimeter protection. By applying deep learning artificial intelligence, IVSS allow users to focus on what matters most, improve event response time and help make video actionable. An all new UI design supports device operation and maintenance management, improving the value and experience of surveillance view, and servicing the era of security big data. Functions Face RecognitionSupport record faces by structured data and real-time crosscheck with incredible accuracy to figure out the face with target features. With regular/Stranger mode to trigger kinds of alarm actions for different applications. Perimeter ProtectionAutomatically filtering out false alarms caused by animals, rustling leaves,bright lights, etc. Enables system to act secondary recognition for the targets. Improving alarm accuracy. Video MetadataMetadata is feature attribute information extracted from a target object which can be used for data retrieval. Currently, there are four main kinds of metadata in the security industry: human face, human body, and motor vehicle and non-motor vehicle metadata. AI SearchSupport search by metadata of human and vehicles. Support uploading face pictures to NVR and compare them with recorded faces in NVR by similarity. Enable operators to quickly and easily search through multi channels and long duration, efficiently find out when and where a person of interest appeared.

Add to Compare

Network Video Recorders (NVRs) - Expert commentary

The Digital Transformation Of Modern Access Control Solutions
The Digital Transformation Of Modern Access Control Solutions

The safeguarding of premises through the monitoring of entrance and exit points has traditionally been a very manual aspect of security. Human operators have been relied on to make decisions about who to admit and deny based on levels of authorization and the appropriate credentials. The access control business, like many industries before it, is undergoing its own digital transformation But the access control business, like many industries before it, is undergoing its own digital transformation; one where the protection of premises, assets and people is increasingly delivered by interconnected systems utilising IoT devices and cloud infrastructure to offer greater levels of security and protection. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification, right through to complex networks of thermal cameras, audio speakers and sensors. These systems, connected through the cloud, can be customized and scaled to meet the precise requirements of today’s customer. And it’s the ease of cloud integration, combined with open technologies and platforms that is encouraging increasing collaboration and exciting developments while rendering legacy systems largely unfit for purpose. Remote management and advanced diagnostics Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution.Cloud technology and IoT connectivity means remote management and advanced diagnostics form an integral part of every security solution. For example, as the world faces an unprecedented challenge and the COVID-19 pandemic continues to cause disruption, the ability to monitor and manage access to sites remotely is a welcome advantage for security teams who might otherwise have to check premises in person and risk breaking social distancing regulations. The benefits of not physically having to be on site extend to the locations within which these technologies can be utilised. As an example, within a critical infrastructure energy project, access can be granted remotely for maintenance on hard to reach locations. Advanced diagnostics can also play a part in such a scenario. When access control is integrated with video surveillance and IP audio, real-time monitoring of access points can identify possible trespassers with automated audio messages used to deter illegal access and making any dangers clear. And with video surveillance in the mix, high quality footage can be provided to authorities with real-time evidence of a crime in progress. Comprehensive protection in retail The use of connected technologies for advanced protection extends to many forward-looking applications. Within the retail industry, autonomous, cashier-less stores are already growing in popularity. Customers are able to use mobile technology to self-scan their chosen products and make payments, all from using a dedicated app. From an access control and security perspective, connected doors can be controlled to protect staff and monitor shopper movement. Remote management includes tasks such as rolling out firmware updates or restarting door controllers, with push notifications sent immediately to security personnel in the event of a breach or a door left open. Remote monitoring access control in storage In the storage facility space, this too can now be entirely run through the cloud with remote monitoring of access control and surveillance providing a secure and streamlined service. There is much to gain from automating the customer journey, where storage lockers are selected online and, following payment, customers are granted access. Through an app the customer can share their access with others, check event logs, and activate notifications. With traditional padlocks the sharing of access is not as practical, and it’s not easy for managers to keep a record of storage locker access. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers. The elimination of manual tasks, in both scenarios, represents cost savings. When doors are connected to the cloud, their geographical location is rendered largely irrelevant. Online doors and locks enable monitoring capabilities and heightened security for both operators and customers They become IoT devices which are fully integrated and remotely programmable from anywhere, at any time. This creates a powerful advantage for the managers of these environments, making it possible to report on the status of a whole chain of stores, or to monitor access to numerous storage facilities, using the intelligence that the technology provides from the data it collects. Open platforms powers continuous innovation All of these examples rely on open technology to make it possible, allowing developers and technology providers to avoid the pitfalls that come with the use of proprietary systems. The limitations of such systems have meant that the ideas, designs and concepts of the few have stifled the creativity and potential of the many, holding back innovation and letting the solutions become tired and their application predictable. Proprietary systems have meant that solution providers have been unable to meet their customers’ requirements until the latest upgrade becomes available or a new solution is rolled out. This use of open technology enables a system that allows for collaboration, the sharing of ideas and for the creation of partnerships to produce ground-breaking new applications of technology. Open systems demonstrate a confidence in a vendor’s own solutions and a willingness to share and encourage others to innovate and to facilitate joint learning. An example of the dynamic use of open technology is Axis’ physical access control hardware, which enables partners to develop their own cloud-based software for control and analysis of access points, all the while building and expanding on Axis’ technology platform. Modern access control solutions range from simple card readers to two factor authentication systems using video surveillance as a secondary means of identification Opportunities for growth Open hardware, systems and platforms create opportunities for smaller and younger companies to participate and compete, giving them a good starting point, and some leverage within the industry when building and improving upon existing, proven technologies. This is important for the evolution and continual relevance of the physical security industry in a digitally enabled world. Through increased collaboration across technology platforms, and utilising the full range of possibilities afforded by the cloud environment, the manufacturers, vendors and installers of today’s IP enabled access control systems can continue to create smart solutions to meet the ever-changing demands and requirements of their customers across industry.

Cybersecurity: What We Can Do As An Industry
Cybersecurity: What We Can Do As An Industry

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.

What Is AI Face Search? Benefits Over Facial Recognition Systems
What Is AI Face Search? Benefits Over Facial Recognition Systems

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

Latest Dahua Technology USA Inc. news

Dahua Technology Unveils SafetyTemp Thermal Temperature Monitoring System For Enterprises And Schools
Dahua Technology Unveils SafetyTemp Thermal Temperature Monitoring System For Enterprises And Schools

Dahua Technology, a globally renowned video-centric provider of smart IoT solutions, has announced the launch of SafetyTemp (DHI-ASI7213X-T1), a thermal temperature monitoring station. This easy-to-deploy solution quickly measures skin temperature without the need for personal contact and provides an accurate temperature reading to help businesses and schools assess employees, customers, students and other visitors for elevated body temperature. SafetyTemp thermal temperature monitoring station Developed in response to the COVID-19 pandemic, the SafetyTemp system features a simple, portable setup that consists of a seven-inch screen and a camera with dual, 2MP, CMOS sensors. Different installation options, such as floor and desktop mounts, make SafetyTemp a versatile solution for shops, restaurants, schools, and factories that need an efficient method to assess temperatures of employees, customers, students and other visitors. This contact-free solution for monitoring temperatures uses thermal imaging technology to reduce the risk of viral transmission and deliver peace of mind. Thermal imaging technology Thermal imaging technology allows for swift, accurate, temperature readings without personal contact" “Thermal imaging technology allows for swift, accurate, temperature readings without personal contact,” remarked Damon Chou, Product Solutions Manager at Dahua Technology USA, adding “SafetyTemp offers this technology in a compact, user-friendly station that helps businesses reopen more safely and schools better monitor their student populations during the pandemic.” A subject must simply look at the camera for the system to get a temperature reading. The system will almost instantly (within 0.2 seconds) indicate whether a temperature is elevated above an operator-defined threshold. A visual display on the screen, as well as an audio alert, will let the operator know immediately when an elevated temperature has been detected. Integrated with WDR camera An additional setting will alert the operator if the system detects that a subject is not wearing a mask. The Wide Dynamic Range (WDR) camera is well-suited for high-contrast lighting environments, such as building entrances, and its infrared sensor can detect temperatures within a ±0.9°F (±0.5°C) range of accuracy from a distance of one to six feet (0.3 to 1.8 meters). “SafetyTemp’s ability to quickly scan people as they pass through an area reduces long lines and wait times for business owners and administrators who want to safeguard the health of their employees, customers or students,” Chou continued, adding “Dahua aims to support the reopening of schools and commerce with this simple yet powerful solution.”

Salient Systems Equip Constellation Cannabis With The Right Solution To Meet The Stringent Regulatory Demands Of Its Industry
Salient Systems Equip Constellation Cannabis With The Right Solution To Meet The Stringent Regulatory Demands Of Its Industry

Jeff Hubbard is the owner of Constellation Cannabis, one of the largest cannabis grow facilities in Washington state. The Arlington facility is 42,000 square feet, of which 30,000 square feet is grow space. Because of the heavily regulated nature of the industry, the company would have to meet strict requirements before it began production and that meant developing a camera design with 100 cameras that would exceed regulatory requirements. In a new industry with strict regulatory requirements, the video surveillance system is everything but ordinary. First, it had to be a modular system to allow the company to scale it through the multi-phase project. Also, it had to take into account the unique nature of the project. Before Constellation could even begin growing cannabis, it had to have a license for the property, then develop an operating plan- essentially an operational blueprint of the building for the Liquor Control Board (LCB). Captured on camera From seed to sale, everything that would occur must be captured on camera at all times The plan clearly delineates where in the building seeds would be stored, where vegetative growth would take place, where the flower room and waste quarantine would be, and where concentrates production and processing would take place. From seed to sale, everything that would occur must be captured on camera at all times, and every recorded interaction of an employee with a plant must include visibility of the employee's head, hands, and feet at all times- and the footage must be maintained for at least 45 days. Even plant waste and dead plants must be on camera at all times. “If we have a plant that dies, we can't just take that plant and throw it in the compost pile; the plant is tagged, so we scan the plant, we notify the LCB that the plant has died, and we remove the plant from our gardens,"  Hubbard said. Video surveillance system "But it needs to sit in our quarantine space for 72 hours because that gives the LCB three days to come out to our farm and do a spot check inspection if they are so inclined and say, 'Yep, you had one plant die- here it is.' And then we could go into the camera system, and we need to maintain footage of all our plants for 45 days." Until all of this and more could be demonstrated to the LCB, Constellation could not grow a single plant, and therefore could not generate revenue. Clearly, the last thing they needed was for the video surveillance system to hold the process up. In phase one of the project, Constellation was using about a 50/50 mix of Dahua and other cameras. Features and capabilities It is often difficult for company owners to know who has the skill set necessary to follow through with meeting They originally contracted for 80 cameras, but, due to some blind spots and some expansion during the initial phase, Hubbard says, they needed to upgrade to 100 and a partner to help them scale. Hubbard met with Blake Albertsen, Regional Sales Manager - Pacific Northwest/Western Canada, Salient Systems, who walked those at Constellation through the features and capabilities of the Salient system. In an industry as new as the cannabis industry, it is often difficult for company owners to know who has the skill set necessary to deliver and follow through with meeting their unique needs. However, after meeting with Albertsen, Hubbard knew he had found the right partner. Modular system "Based on the strength of that presentation and of Blake himself as a person," Hubbard said. "We felt comfortable in engaging in a contract with Salient.” With the Salient server, they were able to seamlessly upgrade, get licenses in place and meet their phase one footprint. Unfortunately, however, because of the size and scope of the project, the need for a modular system and the burdensome regulations, the integrator Constellation had initially been working with was unable to meet its needs, and so Constellation now found itself in search of a new integrator. Hubbard said he called Albertsen and expressed his frustration of having a capable Salient system but being unable to use it. Although Salient was not obligated to, Albertsen agreed to help Constellation find an integrator suited for the task. Camera inspections There is a steep learning curve, and that is why we decided to go with professionals" "It was a very stressful time in the business," Hubbard said. "I am eternally grateful for the help in finding us a new integrator, lending us engineering time to get our system operational and get us past our camera inspections to allow us to activate our cannabis license." And so, what had begun to look like a disaster was now back on track and humming along smoothly. Hubbard said Constellation plans to continue its relationship through the second and third phase of building out the facility. "Cannabis is a new industry, and a lot of people are trying to make a quick buck," Hubbard said. "There is a steep learning curve, and that is why we decided to go with professionals." Clean Green Certified Part of what makes Salient so successful is its commitment to being "Clean Green Certified”. Because the USDA does not recognize cannabis as a legitimate agricultural crop, cannabis cannot be legally called “organic.” Therefore, the Clean Green cannabis processor/ handler certification was established in 2004 as a way to regulate legal cannabis products that would otherwise have called their products organic. Indeed, 40 percent of the cannabis licenses in Washington are inactive, Hubbard explains, because many people don't realize the regulatory burden placed on the industry and the capital costs required to navigate those burdens.

Dahua Technologies Launches AI-powered WizMind Portfolio
Dahua Technologies Launches AI-powered WizMind Portfolio

Dahua Technology, with its award winning deep learning algorithms, proudly releases WizMind – a portfolio of solutions composed of project-oriented products including IPC, NVR, PTZ, XVR, thermal and software platforms, delivering precise, reliable and comprehensive AI solutions to verticals including government, retail, energy, finance and transportation. WizMind's human-oriented solutions Powered by AI and deep learning algorithms, WizMind provides comprehensive human-oriented solutions including facial recognition, privacy protection, human video metadata, people counting and stereo analysis, enabling rapid and precise reaction. In addition, it provides more precise and effective AI search to locate targets, generating various human data for business analysis. According to IHS, the total market value of professional video surveillance equipment will grow to $27.2 million by 2023 To protect portrait data, WizMind provides outstanding privacy protection. Based on deep learning algorithms, WizMind supports real-time mosaic masking of the human face or body detected in the monitoring area, which is needed in courtroom scenarios and may be valuable to retailers which can optimize their business through intelligent analysis of customer flow, recorded without violating privacy or GDPR. WizMind based on vehicles WizMind boasts multiple vehicle-based AI solutions, such as ANPR and vehicle metadata, illegal parking which provide more attributes of vehicles for easy control, quick search and business analysis. It is widely used in urban areas, residential community entrances, parking lots and toll stations. By extracting and comparing plate numbers with databases, ANPR helps managers of parking lots and city roads improve vehicle management efficiency with functions like Blacklist Alarm and VIP Recognition. ANPR also supports vehicle tracking, which helps police efficiently locate vehicles according to the crosschecking result. ANPR is able to recognize plate numbers in over 58 countries. WizMind with thermal technology WizMind combines deep learning algorithms with thermal imaging technology to help users achieve ultra-long-distance monitoring in harsh environments, non-contact temperature monitoring and early fire prevention. The Dahua WizMind series is compatible with mainstream third party technology partners With an accuracy of 0.3 degrees Celcius and a speed that monitors three people per second, Dahua’s High Accuracy Body Temperature Monitoring Solution has been widely and successfully applied within transportation hubs, financial institutions, commercial complexes, schools and other places all over the world, joining the global efforts in pandemic prevention and control. WizMind Ecosystem Initiating openness and collaboration, the Dahua WizMind series is compatible with mainstream third party technology partners, such as Milestone, AxxonSoft, ISS and others. Furthermore, WizMind Ecosystem provides the DHOP and sufficient API for our technology partners, enabling them to combine real AI joint solutions to our common customers, and a series of marketing activities will be engaged with our ecosystem partners. Dahua WizMind, a high-end AI series, aims to serve demanding scenarios in many vertical industries. With the mission of “enabling a safer society and smarter living”, Dahua Technology will continue to focus on “innovation, quality and service” to serve its partners and customers around the world.

Related white papers

Five Things To Consider For AI With Video Technology

Making Your Surveillance Cyber Secure