Dahua Technology 4MP WDR IR Bullet Camera
Dahua Technology 4MP WDR IR Bullet Camera

Dahua 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 OverviewPro AI series contains Face Capture, Perimeter Protection and People Counting functions. Powered by deep-learning Artificial Intelligence algorithms, significantly improved accuracy. Active Deterrence and Full Colour camera are also in this series. Meanwhile, the series features starlight and smart IR technology. This series fully protected from dust and water, certified to IP67 standard. Functions Perimeter ProtectionDahua’s Perimeter Protection functions significantly improved accuracy. Perimeter Protection reduces false alarms and decreases pixel count requirements for object detection. Perimeter Protection features custom tripwires based on object type for automation in limited access areas such as pedestrian or vehicle-only zones. This combination of advanced AI analytics and real-time alerts to a desktop or to a mobile client reduces system requirements and resources resulting in greater surveillance system efficiency. People CountingPeople Counting function uses advanced image processing technology to capture depth information from within images. The camera pairs this information with deep learning algorithms to analyze and detect human bodies and track target objects in real time. The camera provides statistics for separate individuals’ entrance and exit with up to 95% counting accuracy. MetadataMetadata is feature attribute information extracted from a target object which can be used for data retrieval. Dahua face detection camera can extract six facial attributes and output the metadata for analysis. ePoE technologyThe ePoE technology of Dahua, designed internally, adopts advanced 2D-PAM3 coding modulation from physical layer, and realizes full duplex transmission over 800 meters at the speed of 10Mbps, or 300 meters at the speed of 100Mbps via Cat 5 or coaxial cable media. Besides, it supports PoE and PoC power supply technology which has greatly simplified construction and wiring. Dahua ePoE technology offer a new way to accomplish long distance transmission between IP camera and network switch. It allows more flexible surveillance system design, improves reliability and saves construction and wiring cost. Protection(IP67, wide voltage)The camera allows for ±30% input voltage tolerance, suitable for the most unstable conditions for outdoor applications. Its 6KV lightning rating provides effective protection for both the camera and its structure against lightning. Subjected and certified to rigorous dust and immersion tests (IP67) , the camera is the choice for installation in even the most unforgiving environments.

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Dahua Technology Starlight IR Network Camera
Dahua Technology Starlight IR Network Camera

System OverviewFeaturing powerful optical zoom and accurate pan/tilt/zoom performance, the camera provides a wide monitoring range and great detail. The camera delivers 1080P resolution at 25/30fps. The camera is equipped with smooth control, high quality image, and good protection, meeting compact size demands of video surveillance applications. Functions Starlight TechnologyFor challenging low-light applications, Dahua’s Starlight Ultra-low Light Technology offers best-in-class light sensitivity, capturing color details in low light down to 0.005 lux. The camera uses a set of optical features to balance light throughout the scene, resulting in clear images in dark environments. EnvironmentalDahua cameras operate in extreme temperature environments, rated for use in temperatures from -30°C to +60 °C (-22 °F to +140°F) with 95% humidity. Subjected to rigorous dust and water immersion tests and certified to the IP66 Ingress Protection rating makes it suitable for demanding outdoor applications. ProtectionThe camera allows for 4KV lightning rating,which provides effective protection for both the camera and its structure against lightning. InteroperabilityThe camera conforms to the ONVIF (Open Network Video Interface Forum) specifications, ensuring interoperability between network video products regardless of manufacturer. Wide Dynamic RangeThe camera achieves vivid images, even in the most intense contrast lighting conditions, using industry-leading wide dynamic range (WDR) technology. For applications with both bright and low lighting conditions that change quickly, True WDR (120 dB) optimizes both the bright and dark areas of a scene at the same time to provide usable video. Smart H.265+Smart H.265+ is the optimized implementation of the H.265 codec that uses a scene-adaptive encoding strategy, dynamic GOP, dynamic ROI, flexible multi-frame reference structure and intelligent noise reduction to deliver high-quality video without straining the network. Smart H.265+ technology reduces bit rate and storage requirements by up to 70% when compared to standard H.265 video compression.

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Dahua Technology Starlight IR AI NPS
Dahua Technology Starlight IR AI NPS

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 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 more devices. Beyond seeing the world, the power of AI allows devices to perceive the environment and understand the world in a better way. System overview With CNN algorithm, Dahua AI positioning system supports intelligent functions like tripwire and intrusion; and supports video metadata function that recognises motor vehicle, non-motor vehicle, and human to analyse their detailed information. With PFA algorithm, the speed dom e can get clear images all the time during zooming. Together with infra red illumination and Starlight technology, the camera is the perfect solu tion for dark, lowlight applications. Perimeter protection Automatically filtering out false alarms caused by animals, rustling leaves, bright lights, etc. Enables system to at secondary recognition for the targets. Improving alarm accuracy. Starlight technology For challenging low-light applications, Dahua’s Starlight Ultra-low Llight Technology offers best-in-class sensitivity, capturing colour details in low light down to 0.001 lux. PFA technology PFA technology has innovatively introduced new methods of judgement to ensure the accuracy and predictability of the direction of subject distance adjustment. The result is a set of advanced focusing algorithms. PFA ensures clarity of the image throughout the process of zooming and shortens focus time. Environmental Dahua cameras operate in extreme temperature environments, rated for use in temperatures from -40 °C to +70 °C (-40 °F to +158 °F) with 95% humidity. Subjected to rigorous dust and water immersion tests and certified to the IP67 Ingress Protection rating makes it suitable for demanding outdoor applications. Protection The camera allows for ±25% input voltage tolerance, suitable for the most unsuitable conditions for outdoor applications. Interoperability  The camera conforms to the ONVIF (Open Network Video Interface Forum) specifications, ensuring interoperability between network video products regardless of manufacturer.  Wide dynamic range The camera achieves vivid images, even in the most intense contrast lighting conditions, using industry-leading wide dynamic range (WDR) technology.  Auto-tracking This feature controls the pan/tilt/zoom actions of the camera to automatically track an object in motion and to keep it in the scene. Smart H.265+ Smart H.265+ is the optimised implementation of H.265 codec that uses a scene-adaptive encoding strategy, dynamic GOP, dynamic ROI, flexible multi-frame reference structure and intelligent noise reduction to deliver high quality video without straining the network.

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Dahua Technology Thermal Network PTZ Camera
Dahua Technology Thermal Network PTZ Camera

System OverviewFeaturing a dual lens Pan/Tilt/Zoom (PTZ) camera, this series provides an all-in-one solution that is especially beneficial for long distance video surveillance in outdoor applications. Together with Dahua Thermal and Starlight technology, the camera’s long range capabilities are able to be utilized even at night. The series combines one thermal camera for monitoring in total darkness and one camera with Starlight functionality and a motorized lens for confirming details up close. Functions Uncooled Vox TechnologyDahua thermal cameras use uncooled Vox sensor technology. Their small size and better performance make them a cost-effective solution for thermal security. High SensitivityHigh thermal sensitivity (<40mK) allows cameras to capture more image details and temperature difference information. Fire Detection & AlarmWith built-in fire detection functionality, the camera has the ability to detect fires from long range. Because thermal cameras are sensitive to temperature, they provide higher fire detection accuracy than standard cameras, making them particularly fit for applications such as forest fire prevention. Intelligent Video System (IVS)IVS is a built-in video analytics algorithm that delivers intelligent functions to monitor a scene for tripwire violations, intrusion detection, and abandoned or missing objects. A camera with IVS quickly and accurately responds to monitoring events in a specific area. EnvironmentalWith a temperature range of -40 °C to +70 °C, the camera is designed for extreme temperature environments. Subjected and certified to rigorous dust and water immersion tests, the IP66 rating makes it suitable for demanding outdoor applications. For enviorments with rain, sleet, snow and fog, an integrated wiper(optional) provides users with clear visibility at all times. ProtectionThe camera Supporting wide range voltage input(100–300V AC), suitable for the most unstable conditions for outdoor applications. Its 6 kV lightning rating provides effective protection for both the camera and its structure against lightning.

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Dahua Technology IR Corner Network Camera
Dahua Technology IR Corner Network Camera

System OverviewWith advanced H.265 encoding technology, Dahua corner network camera has efficient encoding capacity, which helps to save bandwidth and storage space. The camera adopts starlight technology, intelligent IR technology, and intelligent image analysis technology; and has waterproof function, dust-proof function and vandal-proof function, complying to the standards of IP67 and IK10+50J. Functions Smart ( H.265+ & H.264+ )With advanced scene-adaptive rate control algorithm, Dahua smart encoding technology realizes the higher encoding efficiency than H.265 and H.264, provides high-quality video, and reduces the cost of storage and transmission. StarlightDahua Starlight technology mainly applies to the environment of low illuminance, and it can provide clear colorful video. Even in the environment of ultra-low illuminance, the technology can guarantee the good image effect. Perimeter ProtectionWith deep learning algorithm, Dahua Perimeter Protection technology can recognise human and vehicle accurately. In restricted area (such as pedestrian area and vehicle area), the false alarms of intelligent detection based on target type (such as tripwire, intrusion, fast moving, parking detection, loitering detection and gathering detection) are largely reduced. Distortion CorrectionWith advanced distortion correction algorithm, Dahua Distortion Correction corrects the image distortion in both horizontal and vertical directions to be consistent with the actual situation. No IR ExposureWith 94 nm IR LED, the camera will not generate IR exposure. Naked eyes are invisible. Protection (IP67, IK10, wide voltage)IP67: The camera passes a series of strict test on dust and soak. It has dust-proof function, and the enclosure can works normal after soaking in 1 m deep water for 30 minutes. IK10: The enclosure passes strict vandal-proof test, and it can stand the punch of 50J impact energy. Wide voltage: The camera allows ±30% input voltage tolerance (wide voltage range), and it is widely applied to outdoor environment with instable voltage.

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Dahua Dual 4MP Starlight Hunter Camera
Dahua Dual 4MP Starlight Hunter Camera

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, Metadata, traffic data statistics, etc. The complete lineup of Dahua AI includes network (PTZ) cameras, network video recorders, servers, and more devices. 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 PTZ AI network camera adopts advanced CNN deep learning algorithms to support face recognition with high accuracy. The Dual 4MP Starlight Smart Capture Camera consists of panoramic camera and PTZ camera. Panoramic camera captures panoramas, and then PTZ camera takes detailed snapshots of objects and keeps tracking objects after rule violations occur. This camera possess wide monitor range and PFA algorithm that can always present a clear, focused image while zooming. Functions Dual PTZ systemPanoramic camera and Detail camera of the dual PTZ system can be adjusted horizontally and vertically. Face RecognitionOnce facial features are extracted from captured faces, they are stored in a database where they can be easily searched and compared against other images. Once a successful match is found, the system outputs the result. The Dahua Face Recognition camera supports a built-in database that stores up to 10,000 facial images, helping the camera achieve realtime face capture and comparison. Starlight TechnologyFor challenging low-light applications, Dahua's Starlight Ultra-low Light Technology offers best-in-class light sensitivity, capturing color details in low light down to 0.001 lux. The camera uses a set of optical features to balance light throughout the scene, resulting in clear images in dark environments. PFA TechnologyPFA technology has innovatively introduced new methods of judgment to ensure the accuracy and predictability of the direction of subject distance adjustment. The result is a set of advanced focusing algorithms. PFA ensures clarity of the image throughout the process of zooming and shortens focus time. The realization of PFA technology substantially improves user experience and increases product value. MetadataMetadata is feature attribute information extracted from a target object which can be used for data retrieval. There are four kinds of metadata supported by Dahua PTZ AI camera: human face, human body, motor vehicle and non-motor vehicle metadata. Facial information includes gender, age, glasses, masks, beards, etc. Human body information includes hat, top, top color, bottom, bottom color, bag, etc. Motor vehicle information includes plate color, type, vehicle color, sunshield, ornament, calling, seatbelt, smoking, annual inspection sticker, etc. Non-motor vehicle information includes type, color, top type, top color, people number, etc. Smart trackingHuman, motor vehicle, and non-motor vehicle, or their combinations can be set as objects. Once the objects selected trigger detection rules (like tripwire and intrusion), the detail camera will track them automatically. 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. InteroperabilityThe camera conforms to the ONVIF (Open Network Video Interface Forum) specifications, ensuring interoperability between network video products regardless of manufacturer.

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IP cameras - Expert commentary

The robotic transformation of the security industry
The robotic transformation of the security industry

The COVID-19 pandemic is only accelerating the expansion of Automation, Robotics, Machine Learning (ML) and Artificial Intelligence (AI), and changing how people live their daily lives. This expansion leads the way with technologies that are developed to solve problems, improve operations, streamline processes and assist people, to focus on learning new skills, creativity, and imagination. Transformation of the physical security industry One of the latest industries to be permanently transformed is physical security. The era of utilising security cameras is slowly changing into more advanced and more efficient technological applications - security robotic solutions. SMP Robotics is a California-based company, which is a pioneer in developing robotic technologies, powered by AI, to assist, improve and deliver on new expectations in today’s world. One of their services is smart surveillance systems. This represents a proactive approach to security. The company, SMP Robotics’ Founder and Chief Executive Officer (CEO), Leo Ryzhenko, stated “Autonomous robotic technologies will become a driving force in future security solutions.” Robotics and AI in autonomous security solutions The robots can patrol 24/7, counteracting intrusion and communicating via voice message with guards The company uses robotics and AI technology to implement autonomous security solutions, which reduce liability and overhead, as well as improving the quality of services. Robotic guards are capable of patrolling all types of facilities, in both urban and rural contexts. The robots can patrol 24/7, counteracting intrusion and communicating via voice message with guards. The inspection robots, deployed by SMP Robotics, are easily integrated with many existing security technologies, armed with obstacle avoidance and anti-collision measures, automatically recharge, and can recognise faces up to 50 metres. As the world grows increasingly complex, technology like this is essential to ensure safety for all. AI-enabled autonomous video monitoring ground vehicles The advancements in technological breakthroughs of SMP Robotics position the company and its AI-powered, autonomous video monitoring ground vehicles, to be the most adaptable to any industry, cost-effective for clients’ business needs, in providing various types of services from public safety, crime prevention, to asset protection and physical security. SMP Robotics continues to implement new innovative solutions and groundbreaking technologies in its latest generation of autonomous models. Currently, many were already deployed or in a process to be delivered to a number of key clients, in various industries throughout the globe, from oil & gas, nuclear power plants to data centers, healthcare facilities, and amusement parks. Smart security robots Tal Turner, the Vice President (VP) of Business Development and Partnerships, SMP Robotics, said “We provide autonomous, artificial intelligence, all-weather, all-surface, smart security robots that are turnkey and operate independently on their own, using real-time obstacle avoidance, face recognition, and other cutting-edge technological advancements.” According to Coherent Market Insights, the Robots as a Service (RaaS) market direction will grow by 15.9% by 2028 and reach the threshold of 41.3 billion dollars. SMP Robotics stands at the forefront of the security robotic revolution, making an impactful change to make the world a safer place.

Cutting through the hype: AI and ML for the security space
Cutting through the hype: AI and ML for the security space

Today’s organisations face numerous diverse threats to their people, places and property, sometimes simultaneously. Security leaders now know all too well how a pandemic can cripple a company’s ability to produce goods and services, or force production facilities to shut down, disrupting business continuity. For example, a category three hurricane barreling towards the Gulf of Mexico could disable the supplier’s facilities, disrupt the supply chain and put unexpected pressure on an unprepared local power grid. Delivering timely critical information Tracking such risk is hard enough, but managing it is even more difficult. A swift response depends on delivering the right information to the right people, at the right time. And, it’s not as easy as it sounds. Indeed, 61 percent of large enterprises say critical information came too late for them, in order to mitigate the impact of a crisis, according to Aberdeen Research (Aberdeen Strategy & Research). These challenges are accelerating the hype around Artificial Intelligence (AI) These challenges are accelerating the hype around Artificial Intelligence (AI). The technology promises to help us discover new insights, predict the future and take over tasks that are now handled by humans. Maybe even cure cancer. Accelerating the hype around AI But is AI really living up to all this hype? Can it really help security professionals mitigate risk? After all, there’s a serious need for technology to provide fast answers to even faster-moving issues, given the proliferation of data and the speed at which chaos can impact operations. Risk managers face three major obstacles to ensuring business continuity and minimising disruptions. These include: Data fatigue - Simply put, there’s too much data for human analysts to process in a timely manner. By 2025, the infosphere is expected to produce millions of words per day. At that pace, you’d need an army of analysts to monitor, summarise and correlate the information to your impacted locations, before you can communicate instructions. It’s a herculean task, made even more difficult, when we consider that 30 percent of this global datasphere is expected to be consumed in real time, according to IDC. Relevance and impact - Monitoring the flood of information is simply the first hurdle. Understanding its impact is the second. When a heat dome is predicted to cover the entire U.S. Pacific Northwest, risk managers must understand the specifics. Will it be more or less hot near their facilities? Do they know what steps local utilities are taking to protect the power grid? Such questions can’t be answered by a single system. Communication - Once you know which facilities are impacted and what actions to take, you need to let your employees know. If the event is urgent, an active shooter or an earthquake, do you have a fast, effective way to reach these employees? It’s not as simple as broadcasting a company-wide alert. The real question is, do you have the ability to pinpoint the location of your employees and not just those working on various floor in the office, but also those who are working from home? How AI and ML cut through the noise Although Artificial Intelligence can help us automate simple tasks, such as alert us to breaking news, it requires several Machine Learning systems to deliver actionable risk intelligence. Machine Learning is a branch of AI that uses algorithms to find hidden insights in data, without being programmed where to look or what to conclude. More than 90 percent of risk intelligence problems use supervised learning, a Machine Learning approach defined by its use of labelled datasets. The benefit of supervised learning is that it layers several pre-vetted datasets, in order to deliver context-driven AI The benefit of supervised learning is that it layers several pre-vetted datasets, in order to deliver context-driven AI. Reading the sources, it can determine the category, time and location, and cluster this information into a single event. As a result, it can correlate verified events to the location of the people and assets, and notify in real time. It’s faster, more customised and more accurate than simple Artificial Intelligence, based on a single source of data. Real-world actionable risk intelligence How does this work in the real world? One telecommunications company uses AI and ML to protect a mobile workforce, dispersed across several regions. An AI-powered risk intelligence solution provides their decision makers with real-time visibility into the security of facilities, logistics and personnel movements. Machine Learning filters out the noise of irrelevant critical event data, allowing their security teams to focus only on information specific to a defined area of interest. As a result, they’re able to make informed, proactive decisions and rapidly alert employees who are on the move. Four must-have AI capabilities To gain real actionable risk intelligence, an AI solution should support four key capabilities: A focus on sourcing quality over quantity. There are tens of thousands of sources that provide information about emerging threats - news coverage, weather services, social media, FBI intelligence and so much more. Select feeds that are trusted, relevant and pertinent to your operations. Swift delivery of relevant intelligence. To reduce the mean-time-to-recovery (MTTR), risk managers need an accurate understanding of what’s happening. Consider the different contextual meanings of the phrases ‘a flood of people in the park’ and ‘the park is at risk due to a flood’. Machine Learning continuously increases the speed of data analysis and improves interpretation. Ability to cross-reference external events with internal data. As it scans different data sources, an AI engine can help you fine-tune your understanding of what’s happening and where. It will pick up contextual clues and map them to your facilities automatically, so you know immediately what your response should be. Ready-to-go communications. Long before a threat emerges, you can create and store distribution, and message templates, as well as test your critical communications system. Handling these tasks well in advance means you can launch an alert at a moment’s notice. The ability to minimise disruptions and ensure business continuity depends on speed, relevance and usability. AI and ML aren’t simply hype. Instead, they’re vital tools that make it possible for security professionals to cut through the noise faster and protect their people, places and property.

A three-point plan for enhancing business video surveillance
A three-point plan for enhancing business video surveillance

Cyber threats hit the headlines every day; however digital hazards are only part of the security landscape. In fact, for many organisations - physical rather than virtual security will remain the burning priority. Will Liu, Managing Director of TP-Link UK, explores the three key elements that companies must consider when implementing modern-day business surveillance systems.  1) Protecting more than premises Video surveillance systems are undoubtedly more important than ever before for a huge number of businesses across the full spectrum of public and private sector, manufacturing and service industries. One simple reason for this is the increased use of technology within those businesses. Offices, workshops, and other facilities house a significant amount of valuable and expensive equipment - from computers, and 3D printers to specialised machinery and equipment. As a result, workplaces are now a key target for thieves, and ensuring the protection of such valuable assets is a top priority. A sad reality is that some of those thieves will be employees themselves. Video surveillance system Of course, video surveillance is often deployed to combat that threat alone, but actually, its importance goes beyond theft protection. With opportunist thieves targeting asset-rich sites more regularly, the people who work at these sites are in greater danger too. Effective and efficient surveillance is imperative not just for physical asset protection, but also for the safety From this perspective, effective and efficient surveillance is imperative not just for physical asset protection, but also for the safety of colleagues as well. Organisations need to protect the people who work, learn or attend the premises. A video surveillance system is, therefore, a great starting point for companies looking to deter criminal activity. However, to be sure you put the right system in place to protect your hardware assets, your people, and the business itself, here are three key considerations that make for a successful deployment. 2) Fail to prepare, and then prepare to fail Planning is the key to success, and surveillance systems are no different. Decide in advance the scope of your desired solution. Each site is different and the reality is that every solution is different too. There is no ‘one-size-fits-all solution and only by investing time on the exact specification can you arrive at the most robust and optimal solution.  For example, organisations need to consider all the deployment variables within the system’s environment. What is the balance between indoor and outdoor settings; how exposed to the elements are the outdoor cameras; what IP rating to the need? A discussion with a security installer will help identify the dangerous areas that need to be covered and the associated best sites for camera locations. Camera coverage After determining location and coverage angles, indoors and outdoors, the next step is to make sure the cameras specified are up to the job for each location. Do they have the right lens for the distance they are required to cover, for example? It is not as simple as specifying one type of camera and deploying it everywhere. Devices that can use multiple power sources, Direct Current, or Power over Ethernet well are far more versatile You have to consider technical aspects such as the required level of visual fidelity and whether you also need two-way audio at certain locations? Another simple consideration is how the devices are powered. Devices that can use multiple power sources, Direct Current or Power over Ethernet as well are far more versatile and reliable. Answers to these questions and a lot more need to be uncovered by an expert, to deliver a best-of-breed solution for the particular site. 3) Flexibility breeds resilience Understanding exactly what you need is the start. Ensuring you can install, operate and manage your video surveillance system is the next step. Solutions that are simple to install and easy to maintain will always be favoured - for example, cameras that have multiple sources of power can be vital for year-round reliability. Alongside the physical aspect of any installation, there is also the software element that needs to be considered. The last thing organisations need is a compatibility headache once all their cameras and monitoring stations are in place. Selecting cameras and equipment with the flexibility to support a variety of different operating systems and software is important not just for the days following the installation, but also to future-proof the solution against change.  Easy does it Once the system is up and running, the real work of video surveillance begins. Therefore, any organisation considering deploying a system should look to pick one that makes the day-to-day operation as easy as possible to manage. And again - that is all about the set-up. Cameras can also provide alerts if they have been tampered with or their settings changed The most modern systems and technology can deliver surveillance systems that offer smarter detection, enhanced activity reporting so you learn more about your operations, and also make off-site, remote management easy to both implement and adjust as conditions change. For example, camera software that immediately notifies controllers when certain parameters are met - like motion detection that monitors a specific area for unauthorised access. Cameras can also provide alerts if they have been tampered with or their settings changed without proper authorisation. Remote management of HD footage What’s more, the days of poor quality or unreliable transfer of video are long gone. The high-quality HD footage can be captured, stored, and transferred across networks without any degradation, with hard drives or cloud-based systems able to keep hundreds of days of high-quality recordings for analysis of historical data. Finally, the best surveillance solutions also allow for secure remote management not just from a central control room, but also from personal devices and mobile apps. All this delivers ‘always-on’ security and peace of mind. The watchword in security Modern video surveillance takes organisational security to the next level. It protects physical assets, ensures workplace and workforce safety, and helps protect the operations, reputation, and profitability of a business.  However, this is not just an ‘off-the-shelf purchase’. It requires proper planning in the form of site surveys, equipment and software specifications, as well as an understanding of operational demands and requirements. Investing time in planning will help businesses realise the best dividends in terms of protection. Ultimately, that means organisations should seek to collaborate with vendors who offer site surveys - they know their equipment best, your needs, and can work with you to create the perfect solution.

Latest Dahua Technology Ltd news

Dahua TechMonth features WizMind and 3 practical monitoring applications of human-based video metadata
Dahua TechMonth features WizMind and 3 practical monitoring applications of human-based video metadata

In a surveillance monitoring context, video metadata refers to the structured details that the user can extract from given video footage. It is data that provides information about other data – a “data about data” in short. Human-based video metadata, as its name suggests, are data derived from human targets in the monitored scene. It can be utilised based on user’s requirements to significantly enhance the management and operation of various application scenarios, while carefully maintaining people’s privacy at the same time. To give some insights into its practical usage, here are three conventional applications of human-based video metadata to adopt based during monitoring needs: 1) Searching targets One of the most common applications of human-based video metadata is for target searching after an event. Intelligent surveillance devices, such as the Dahua WizMind products, offer a Quick Target Search function that can locate suspects in time using their physical attributes. Irrelevant targets in the captured images are filtered out by the back-end devices (IVSS, NVR) or by the platform Target attributes include beard, glasses, mask, hat, etc., which are continuously being developed and increased to meet the requirements of various application scenarios. Irrelevant targets in the captured images are also filtered out by the back-end devices (IVSS, NVR) or by the platform. It can capture up to 640* targets (with attributes) per second with an impressive detection rate of 98%*. Generating statistics In addition, another useful application of human-based video metadata technology is for target statistics. WizMind counts in real time the human targets in the monitored scene and filters them based on target category and direction. The directions include A>B, B>A, or A<>B. And to top it up, it can also generate reports by year, month, and day. It can capture up to 96** objects per frame, providing a detection rate of 98%** and an accuracy rate of 96%**. 2) Detect PPE wearing WizMind can detect wearing PPEs in construction sites including safety hats, protective vests, face masks, and glasses Wearing personal protective equipment or PPE is a must on any construction site. Depending on the scope of the project, monitoring the proper wearing of PPEs on the site could be a tough challenge to implement. The latest PPE Detection Technology of Dahua WizMind can detect wearing of commonly used PPEs in construction sites including safety hats, protective vests, face masks, and glasses. It can even detect the colour of the uniforms (top and bottom) of workers. When a violation has been detected, the site supervisor or manager can be notified via the DMSS mobile app. Similar to target searching and statistics functions, it also offers a detection rate of 98%**, with an accuracy rate of 96%**. 3) Aid city road planning Who would have thought that aside from vehicle-related data, statistics related to people on the street can also be useful in planning city roads? By collecting attributes of pedestrians, directions, and periods, local road planning departments can design better roads tailored for road users and commuters. One good example is the Dahua solution developed for a local organisation in Ireland. Aside from motor vehicles and non-motor vehicles, metadata of pedestrians are also captured on main city roads and streets around plazas. These data are then securely transferred to an SFTP server for further data analysis. The data summary is relayed to the local transportation department to help them plan and manage streets more efficiently. Key Takeaways Human-based video metadata can be effectively utilised to optimise the monitoring operation of various application scenarios. Metadata based on human targets can be used to search suspects after an event, and to generate accurate statistics of the people in the monitored scene. Also, these structured data can be used to detect proper wearing of PPEs in a particular site, and help local transportation departments in planning and maintaining city roads to benefit the general public.

Dahua Technology shows how intelligent cameras enhance safety in nursing homes
Dahua Technology shows how intelligent cameras enhance safety in nursing homes

Patient falls in nursing homes are a serious problem. In the United States, for example, around 1,800 elderly people, living in nursing facilities, die each year from injuries related to falls, according to the Nursing Home Abuse Center. Those patients who survive their injuries often have a reduced quality of life and suffer some form of permanent disability. Rise in nursing home patient falls Figures show that between 50% and 75% of nursing home residents suffer falls each year, twice the chances of falling when compared to seniors who live in a regular residential community. It has been a prevalent challenge to detect falls quickly and effectively, especially when these occur in residents’ bedrooms. In the United Kingdom, the Care Quality Commission has recognised that the use of CCTV may be one of the best ways to ensure safety and quality of care. However, using video surveillance also brings into question other security issues, such as privacy and data protection. Dahua’s WizMind technologies WizMind embraces human-based AI (Artificial Intelligence), for a whole host of applications across verticals This is where Dahua Technology’s WizMind technologies come into play. WizMind embraces human-based AI (Artificial Intelligence), for a whole host of applications across verticals, such as retail, energy, finance, transportation and of course, health and social care. Specific to the health and social care sector are deep-learning algorithms, to protect the privacy of the face and body in real-time, and stereo analysis, which combines dual-lens cameras with three-dimensional scene analysis, in order to detect sudden physical movement, such as falls. Stereo video analysis The growth of AI applications has enabled the greater availability of 3D scene analysis solutions, thereby enabling objects and people to be analysed in three dimensions. Dahua Technology’s stereo analysis uses two lenses, in order to capture separate images of the same scene. It then computes the ‘optical parallax’ of spatial points in the two images, providing 3D information of the scene. The stereo vision mimics the depth of view that comes from humans having two eyes, known as binocular vision. Combined with deep-learning algorithm Combined with a deep-learning algorithm, stereo analysis can recognise event patterns, such as falls and other movement-based behaviours, such as people approaching, the detection of an abnormal number of people in an area, and violent behaviour. In nursing and care homes, stereo analysis cameras can help staff monitor residents, in case of emergency and respond to residents’ problems, such as tripping and falls. The cameras can view all three dimensions of subjects and together with its deep-learning algorithm, can immediately alert staff to any unusual or sudden movement, such as would be evident in a fall. Cameras in communal areas and bedrooms With cameras situated both in communal areas and in bedrooms, the staff is able to respond quickly to incidents With cameras situated both in communal areas and in bedrooms, the staff is able to respond quickly to incidents, which may otherwise stay undiscovered for hours. An example of such a scenario is a nursing home in Singapore, which has a capacity of around 400 beds and is divided into 14 separate living environments, with each designed to be a home-like living area. Dahua cameras with intelligent fall detection technology Dahua cameras, such as IPC-HDW8341X-BV-3D with intelligent fall detection technology were installed, including the provision of 167 stereo analysis cameras inside each bedroom. These trigger an alarm, in the case of incidents, such as a fall, allowing immediate response by staff. Not only does this enhance the well-being and safety of residents, but it also can reduce the nursing home’s labour costs. In addition, Stereo Analysis can also be applied in other application scenarios. An underground unmanned bicycle parking garage in Amsterdam, for instance, has installed Dahua Technology’s behaviour analysis cameras, to detect abnormal events and prevent accidents, such as people tripping and falling, or suspicious individuals wandering around the area. Privacy Protection 2.0 technology While monitoring their situation inside the nursing home, Dahua also adopts Privacy Protection 2.0 technology that features masking of human face and body, to protect the residents’ privacy. It involves the restriction of what can be seen in video images and applies equally to live, and recorded images. Digital masking takes place on the front-end device (e.g. network camera). Dahua’s Privacy Protection 2.0 provides real-time occlusion of the body and face and enables users to access recorded videos, without having to overlay faces with mosaic masks. It also offers additional occlusion options, such as irregular polygons, mosaics and coloured blocks, and allows code exporting based on specified targets, ensuring the privacy of subjects. Privacy and security in evidence collection Stereo video analysis and privacy protection come into their own in nursing homes and healthcare facilities Benefits offered include non-pixelated human targets, allowing for privacy and security in evidence collection. The technology also allows for face and human attributes analysis, without breaching people’s privacy, making it ideal for nursing homes. Stereo video analysis and privacy protection come into their own in nursing homes and healthcare facilities. It allows the close monitoring of residents or patients to help ensure their well-being and safety, while at the same time protecting the privacy of often vulnerable individuals. Dahua TechMonth As part of the Dahua TechMonth, this blog highlights how Dahua’s stereo analysis technology, combined with privacy protection, can provide a valuable tool to help staff respond to incidents quickly and efficiently, including falls, without infringing on people’s data protection rights. In the next blog, Dahua Technology will be discussing the WizMind application of human metadata, enabling users to maximise situational awareness and analysis of events. 

Dahua Technology and Yeastar announce their new ECO partnership on PBX-Intercom integration
Dahua Technology and Yeastar announce their new ECO partnership on PBX-Intercom integration

Dahua Technology, a video-centric smart IoT solution and service provider, and Yeastar, the provider of SME PBX systems, jointly announce their new ECO partnership on PBX-Intercom integration. The two top-notched companies aim to provide a comprehensive and unified communication solution for Small and Medium-sized Enterprises (SMEs), allowing mutual customers to benefit from visual intercom, remote access control, integrated video conferencing, instant messaging, file sharing, multi-client management, easy configuration, as well as many other advanced features and communication experience. Remote intercom communications Since its first launch in June 2020, the Dahua Eco Partner Program (DEPP) has integrated with more than 80 companies in the industry. “It’s great to have Yeastar in our Eco Partner Program. Dahua has been committed to building a smart ecosystem together with global technology partners and looking forward to creating joint value for customers through integrated solutions,” says Peter Pan, Dahua Global Technology Partner Alliance Director. Dahua has been committed to building a smart ecosystem together with global technology partners" The seamless interoperability of Dahua’s intercom devices (DHI-VTO2201F-P, DHI-VTH2421FB/FW) and Yeastar P-Series PBX System (P550, P560, P570) has been proven after a series of tests and certifications, making it ideal for remote intercom communications and public access control in various industries, such as office buildings, airports, hospitals, schools, etc. Better smart technology In simple terms, with the PBX-Intercom integration, SME customers can: Control the intercom system remotely anytime from any Yeastar PBX extension; See who is at the front door and converse easily via the IP Video Phone or Yeastar Linkus Web Client; Screen visitors at entrances, car parks and security barriers; Automatically forward door phone calls to mobile number or Linkus Mobile Client when not answered. “We are now glad to join hands with Dahua Technology to help our mutual customers streamline operations and improve working efficiency with easy deployment and all-inclusive features. ECO partnership is also in line with our common value pursuit - create more and better smart technology products & solutions - and keeping with our national innovation-led technology aspiration,” said Prince Cai, Vice President of Yeastar.

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