Hikvision CCTV Dome Cameras

It's a very common purchase for people to seek a smart security camera to remotely link them to their home whilst at work. Now the emphasis has shifted, with a lot more people working from home, business owners should consider a surveillance device to deter would-be thieves, protecting valuable equipment crucial for businesses to operate successfully. A robust security camera setup can aid existing security staff, and give business owners peace of mind out of hours.    According to a recent report, police forces are having to carry out extra night patrols in empty city and town centres, as burglars target shops, pubs and other commercial premises during the pandemic. During these unprecedented times, investing in a video security system can save you and your business money – and in more than one way. In addition to preventing loss of property from inside, surveillance cameras also prevent acts of theft and vandalism by outside individuals However, technology, improved mobile connectivity, apps, and cloud technologies has changed the security market and made it easy for anyone to set up a surveillance ecosystem with easy installation and constant round the clock, cloud monitoring. Plus, you can access footage from anywhere in the world via devices and apps – just in case you have to skip the country! The best cameras for SMBs Most good cameras have the much same functionality: excellent video and audio capabilities, remote access and programming, motion and sound detection, and the ability to capture still or video images and audio and save the data to the Cloud. But the burning question is, when you're trying to find a need in a haystack, what will work best for a small to medium sized business? A robust security camera setup can aid existing security staff, and give business owners peace of mind out of hours Now you can buy cameras that come packed with features such as integrated night vision, 1080p resolution, microSD card slot for local recording, two-way audio functionality as well as the latest latest 128bit encryption. They also have wide-angle lenses allowing users to see more of their office with a single camera, and some come with free, intelligent AI-Based motion detection. The AI gives users more choices on what is captured by the camera and when they should be alerted. Users can specify what types of motion they would like to detect, such as an intruder as opposed to a dog, an object crossing a defined boundary or into a specific area. They can also define multiple zones, alerting them immediately when movement is detected in particular areas. Easy installation is crucial These security cameras should also be easy enough to install and use that you don't need to fork out for expensive expert installation, and many can work with existing CCTV and CCTV DVR systems you may already have set-up. Many of the business security cameras are Wi-Fi enabled and come with their own apps, so you can view footage on your smartphone or tablet, no matter where you are in the world. It means you don't need to pay for a security team to watch the footage at all times (though if you can afford it, that won't hurt), and you can store your videos locally with an NVR on a HD, in the cloud with mydlink or do both with a hybrid NVR/cloud recorder. The apps use Rich Notifications which send a push notification with snapshot to the mobile device the moment activity is detected. Users can react immediately without the need to log into the app by accessing the camera’s live view or calling one of two pre-assigned contacts with a single tap. Any motion-triggered recordings can be saved in the cloud, or locally on a microSD card. Indoor, Outdoor or both? Indoor cameras can be smaller, more lightweight and are usually less intrusive than bulkier outdoor cameras The primary distinction between indoor and outdoor security cameras is the types of external factors each camera has to be able to withstand. While both types of cameras usually come in similar styles and with comparable features, outdoor cameras need to be able to contend with all types of weather and varying light conditions. Outdoor cameras are also more vulnerable to being tampered with, so they are typically made of more durable materials, like metal, and may be heavier or even housed in a casing in order to discourage easy removal. Indoor cameras can be smaller, more lightweight and are usually less intrusive than bulkier outdoor cameras. Both indoor and outdoor cameras utilise features like infrared, allowing for clear pictures in low light conditions and easy transitions when there is a sudden change in light-changing automatically from colour images in bright light to black and white when it gets darker. When doing your research, features to look out for include: Wide angle lens for optimum room view or full view of the front of your property Full HD 1080p at 30fps   ONVIF compatible - Open Network Video Interface Forum - The forum aims to standardize how IP products within the video surveillance industry communicate with each other. Night vision - look at length of the night vision - 5m is about right Your options will depend on your budget and specific needs, but the above features are a great start when you come to buy.

News reports and opinion columns about face recognition are appearing everyday. To some of us, the term sounds overly intrusive. It even makes people shrink back into their seats or shake their head in disgust, picturing a present-day dystopia. Yet to others, face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crime. What are the facts about face recognition? Which side is right? Well, there is no definitive answer because, as with all powerful tools, it all depends on who uses it. Face recognition can, in fact, be used in an immoral or controversial manner. But, it can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence.  Concerns of facial recognition With the increased facial recognition applications, people’s concerns over the technology continuously appear throughout news channels and social media. Some of the concerns include: Privacy: Alex Perry of Mashable sums up his and most other peoples’ privacy concerns with face recognition technology when he wrote, “The first and most obvious reason why people are unhappy about facial recognition is that it's unpleasant by nature. Increasing government surveillance has been a hot-button issue for many, many years, and tech like Amazon's Rekognition software is only making the dystopian future feel even more real”. Accuracy: People are worried about the possibilities of inaccurate face detection, which could result in wrongful identification or criminalisation. Awareness: Face recognition software allows the user to upload a picture of anyone, regardless of whether that person knows of it. An article posted on The Conversation states, “There is a lack of detailed and specific information as to how facial recognition is actually used. This means that we are not given the opportunity to consent to the recording, analysing and storing of our images in databases. By denying us the opportunity to consent, we are denied choice and control over the use of our own images” Debunking concerns  The concerns with privacy, accuracy, and awareness are all legitimate and valid concerns. However, let us look at the facts and examine the reasons why face recognition, like any other technology, can be responsibly used: Privacy concerns: Unlike the fictional dystopian future where every action, even in one’s own home, is monitored by a centralised authority, the reality is that face recognition technology only helps the security guard monitoring public locations where security cameras are installed. There is fundamentally no difference between a human security guard at the door and an AI-based software in terms of recognising people on watchlist and not recognising those who are not. The only difference is that the AI-based face recognition software can do so at a higher speed and without fatigue. Face recognition software only recognises faces that the user has put in the system, which is not every person on the planet, nor could it ever be. Accuracy concerns: It is true that first-generation face recognition systems have a large margin for error according to studies in 2014. However, as of 2020, the best face recognition systems are now around 99.8% accurate. New AI models are continuously being trained with larger, more relevant, more diverse and less biased datasets. The error margin found in face recognition software today is comparable to that of a person, and it will continue to decrease as we better understand the limitations, train increasingly better AI and deploy AI in more suitable settings. Awareness concerns: While not entirely comforting, the fact is that we are often being watched one way or another on a security camera. Informa showed that in 2014, 245 million cameras were active worldwide, this number jumped to 656 million in 2018 and is projected to nearly double in 2021. Security camera systems, like security guards, are local business and government’s precaution measures to minimise incidents such as shoplifting, car thefts, vandalism and violence. In other words, visitors to locations with security systems have tacitly agreed to the monitoring in exchange for using the service provided by those locations in safety, and visitors are indeed aware of the existence of security cameras. Face recognition software is only another layer of security, and anyone who is not a security threat is unlikely to be registered in the system without explicit consent. The benefits In August 2019, the NYPD used face recognition software to catch a rapist within 24 hours after the incident occurred. In April 2019, the Sichuan Provincial Public Security Department in China, found a 13-year-old girl using face recognition technology. The girl had gone missing in 2009, persuading many people that she would never be found again. Face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crimeIn the UK, the face recognition system helps Welsh police forces with the detection and prevention of crime. "For police it can help facilitate the identification process and it can reduce it to minutes and seconds," says Alexeis Garcia-Perez, a researcher on cybersecurity management at Coventry University. "They can identify someone in a short amount of time and in doing that they can minimise false arrests and other issues that the public will not see in a very positive way". In fact, nearly 60% Americans polled in 2019 accept the use of face recognition by law enforcement to enhance public safety. Forbes magazine states that “When people know they are being watched, they are less likely to commit crimes so the possibility of facial recognition technology being used could deter crime”. Saving time  One thing that all AI functions have been proven to achieve better results than manual security is speed. NBC News writes, “Nearly instantaneously, the program gives a list of potential matches loaded with information that can help him confirm the identity of the people he’s stopped - and whether they have any outstanding warrants. Previously, he’d have to let the person go or bring them in to be fingerprinted”. Facial recognition can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence With AI, instead of spending hours or days to sift through terabytes of video data, the security staff can locate a suspect within seconds. This time-saving benefit is essential to the overall security of any institution, for in most security threat situations, time is of the utmost importance. Another way in which the technology saves time is its ability to enable employees (but not visitors) to open doors to their office in real time with no badge, alleviating the bottleneck of forgotten badge, keycode or password. Saving money A truly high-performance AI software helps save money in many ways. First, if the face recognition software works with your pre-existing camera system, there is no need to replace cameras, hence saving cost on infrastructure. Second, AI alleviates much of the required manual security monitoring 24/7, as the technology will detect people of interest and automatically and timely alert the authorities. Third, by enhancing access authentication, employees save time and can maximise productivity in more important processes. The takeaway AI-enabled face recognition technology has a lot of benefits if used correctly. Can it be abused? Yes, like all tools that mankind has made from antiquity. Should it be deployed? The evidence indicates that the many benefits of this complex feature outweigh the small chance for abuse of power. It is not only a step in the right direction for the security industry but also for the overall impact on daily lives. It helps to make the world a safer place. 

The ease of getting from point A to point B, the effective movement of goods and services, and the flexibility and integration of various modes of transportation are key aspects of mobility today. Smart Mobility has been a key theme in the transportation industry for a while. The idea is to keep traffic flowing and help people to get where they need to be, in a smarter way. To this end, industry players are now innovating and introducing advanced technologies and solutions. Examples include intelligent traffic management systems, free-flow tolls, autonomous driving, smart location solutions, and more.   At the same time, traffic congestion, aging infrastructure, rapid urbanisation, and increasing sustainability demands are also intensifying the need for smart mobility solutions. One way to overcome these obstacles is to use intelligent video surveillance technology for improved traffic management, making the roads safer and more efficient for every user, while also reducing emissions. Perceptive intersections Relying on intelligent video analytics, traffic video cameras identify traffic build ups at intersections by counting numbers of vehicles crossing an intersection and detecting their speed, while also counting the number of vehicles queueing in real-time. Aggregated data informs the system when to switch traffic lights to red or green. Intelligent optimisation for traffic signals ensures more effective traffic flow. Aggregated data informs the system when to switch traffic lights to red or green The benefits? Improved safety on the roadways; intersection reconstruction can be avoided; drivers can be advised about the speed of their route, forecasted by traffic signals; reduced wait times and stress for commuters; reduction of harmful emissions; and positive impact on public satisfaction. Road safety Traffic incidents can be disastrous, not merely for causing congestion on the roads but sometimes far worse – resulting in injuries and even fatalities. These incidents have many causes, not the least of which is drivers willfully violating traffic laws. Video technology can aid in detecting all kinds of events – for example, illegal parking, running a red light, wrong-way driving, speeding, and making illegal U-turns can all be detected by smart camera technology.   By using deep learning technology, cameras can recognise these events and traffic authorities can be immediately notified and take necessary actions even before traffic incidents occur. Scenarios include stopping a driver who is occupying an emergency lane, or notifying a driver who parked their car illegally. Furthermore, ticketing systems can be incorporated to further regulate driving behaviours. Benefits here include incident prevention, better driver performance, and increased safety on the roads and streets, to name just a few. Scenarios include stopping a driver who is occupying an emergency lane, or notifying a driver who parked their car illegally Public information Sharing information is key to keeping city drivers and travelers informed. Intelligent communication about warnings and updates helps everyone save time, avoid frustration, and simplify everyday mobility. This can be done via traffic guidance screens displayed at highly visible locations, such as congested areas, transportation hubs, shopping malls, and city plazas – or even at your fingertips on your favorite mobile apps! This can be done via traffic guidance screens displayed at highly visible locations Traffic video cameras generate real-time data of traffic flow and incidents, sending it to a central platform to further fuse with data from third-party systems such as radar and GPS systems. They also disseminate traffic information, including traffic status, warning and advisory notices, as well as parking status.  The benefits are improved public awareness of traffic information, improved travel convenience, overall enhancement of mobility in the city, and more.   The Hikvision practice Hikvision has accumulated sophisticated experience in traffic management both at home and abroad. Product lines offer versatile solutions to resolve multitudes of problems in urban traffic management, traffic incident management, highway management, and more. Going deeper, it’s essential to note that efficient signal control management is dependent on the quality of traffic data, system algorithms, and the hardware devices in use; it is also closely related to the mobile environment, such as road conditions, historical traffic conditions, and urban infrastructure. Because of this, no single solution solves traffic congestion everywhere. Hikvision believes that only by working closely with city authorities, public safety organisations, consultants, even academia and other relevant stakeholders, can applications and operational processes be developed to achieve the best possible outcomes. The possibilities for traffic video data are endless, especially now that it can employ artificial intelligence for advanced functionality. Harnessing its power will make all the difference, but the ultimate goal remains the same: safe and smooth traffic, smart mobility, and improved quality of human life.

Thermal cameras can be used for rapid and safe initial temperature screening of staff, visitors and customers. Used the right way, the cameras can help prevent unnecessary spread of viruses like the novel coronavirus. During the global pandemic, use of thermal cameras has increased, but they have not always been used correctly, and therefore, not effectively. Hikvision’s temperature screening thermal products are currently assisting users in initial temperature screening across the global market. During 2020, demand increased in most markets, and the company highly recommends that Hikvision’s thermographic cameras be used in accordance with local laws and regulations. Limitations of the technology include throughput and the impact of ambient conditions. Detect viruses and fever Hikvision releases a video that illustrates how skin temperature measurements are normalised within minutes Thermal cameras cannot detect viruses and fever and should only be used as a first line of screening before using secondary measures to confirm, says Stefan Li, Thermal Product Director at Hikvision. “We also believe it is important for businesses and authorities to use [thermal cameras] alongside a full programme of additional health and safety procedures, which includes handwashing, regular disinfection of surfaces, wearing protective clothing such as masks, and social distancing.” Hikvision has released a video that illustrates how skin temperature measurements are normalised within minutes after someone emerges from the cold. Mr. Li says the video demonstrates the accuracy of forehead measurement under difficult circumstances when people come inside from a cold outdoor environment. Temperature screening facilities “There have been some claims that measuring the forehead temperature is not as accurate as measuring the inner canthus, and we believe this video demonstrates the accuracy of forehead measurement very well,” he says. “We also illustrate how the skin temperature will experience a process of recovery (warming up), no matter if it is measured by a thermal camera or a thermometer.” Mr. Li adds that people should wait five minutes in such circumstances before starting a temperature measurement. “We hope that stakeholders who are involved in the design of temperature screening facilities and associated health and safety procedures will recognise how important it is to consider the skin temperature recovery time, and that forehead measurement can provide accurate test results,” says Mr. Li. Thermal imaging manufacturers The algorithm is based on a large number of test results to obtain a value that tends to be dynamically balanced The temperature measurement principle of thermal imaging is to detect the heat radiation emitted by the human body. The detected heat value often does not reflect the true internal body temperature of an individual. Furthermore, the temperature varies among different parts of the human, such as the forehead, ears, underarms, etc. A temperature compensation algorithm can be used to adjust the measured skin temperature to align with the internal body temperature. The algorithm is based on a large number of test results to obtain a value that tends to be dynamically balanced. At present, thermal imaging manufacturers in the market, and even forehead thermometer manufacturers, have developed their own algorithms to map the skin temperature measured by the camera to the internal body temperature, so as to compensate the skin temperature to the internal body temperature. Thermal cameras This is also why Hikvision recommends that the "actual body temperature" should be checked with a secondary device for confirmation. The calibration work for a thermal camera is completed in the production process at the factory, including calibration of reference values and detection point and so on. At the same time, the equipment parameters should be adjusted before on-site use to ensure accurate temperature reads. Hikvision does not deny the accuracy of temperature measurement at the inner canthus but prefers forehead temperature measurement and algorithms based on actual use scenarios, says Mr. Li. A large amount of test data and practical results indicates that the forehead is a correct and easy-to-use temperature measurement area, says the company. There are advantages and disadvantages of choosing different facial areas for temperature measurement. Default compensation temperature Two main approaches direct the measurement area and how compensation algorithms are applied: Forehead area + default forehead compensation algorithm value Upper half face (forehead + canthus) + default inner canthus compensation algorithm value. Both methods deploy compensation algorithms, but the default compensation temperature of the inner canthus will be less than the default compensation temperature of the forehead, generally speaking. The reason is that the temperature of the inner canthus of most people is higher than their forehead, so the temperature compensation is relatively low (i.e., closer to the actual temperature inside the body.) Upper face area Hikvision found that selecting the upper face area plus the default compensation value for the inner canthus resulted in situations when the calculated temperature is lower than the actual temperature. For the Hikvision solution, the forehead is a relatively obvious and easy-to-capture area on an entire face Mr. Li explains: “The reason is that when the camera cannot capture the position of the inner canthus (for example, when a person is walking, or the face is not facing the camera), the camera will automatically capture the temperature of the forehead. Then the result that appears is the sum of the forehead temperature plus the default compensation temperature of the inner canthus, which is lower than the actual temperature of the person being measured. Therefore, errors are prone to occur.” Thermal imaging products But for the Hikvision solution, the forehead is a relatively obvious and easy-to-capture area on an entire face. Also, the default forehead compensation temperature is based on rigorous testing and can also correctly mimic the actual temperature of the person being measured, says Mr. Li. After many test comparisons, considering that the results of forehead temperature measurement are relatively more stable, and in order to avoid the false results from inner canthus temperature measurement, Hikvision chose the forehead temperature measurement approach. “We look forward to bringing thermal imaging products from a niche market where there is a relatively high-end industry application to a mass market and serving more users,” says Mr. Li. Facial recognition terminals Additional application parameters can maximise effectiveness of thermal cameras for measuring body temperature: Positioning and height - All cameras must be mounted appropriately to avoid loss of accuracy and performance. The installation height of each camera must be adjusted according to camera resolution and focal length, and stable installation is needed to avoid errors caused by shaking. Ensuring a ‘one-direction path’ - The detection area must ensure that cameras capture the full faces of all those passing by or stopping, and obstacles should be avoided in the field of view, such as glass doors that block the camera. Adequate start-up and usage - A waiting time of more than 90 minutes is required for preheating, after the initial start-up. Before conducting a thermal scan, people should be given three to five minutes to allow their body temperature to stabilise. When Hikvision MinMoe facial recognition terminals are used, people must stand at a fixed distance, pass one by one, make a short stop, and face the camera directly. Hikvision cameras support efficient group screening, but one-by-one screening is suggested for more accurate results, says Mr. Li. Unstable environmental condition An unstable environmental condition may affect the accuracy of thermal camera systems Environmental factors can impact the accuracy of thermal cameras, and the idea of using a black body is to provide the camera with a reference point that has a stable temperature. The black body is heated to a specific temperature and helps the thermal camera to know how much error is caused by environmental factors in the room, and how the camera should calibrate itself in real time to improve its accuracy. A black body can help increase the temperature measurement accuracy, and the most common improvement is from ±0.5 degrees to ±0.3 degrees. However, it also increases the cost of the installation. In some markets, customers may require black bodies in order to comply with regulatory accuracy requirements. An unstable environmental condition may affect the accuracy of thermal camera systems for measuring temperature. Medical temperature measurement Therefore, Hikvision suggests that the ambient conditions should be met for installation and use. First of all, users should avoid installing devices in hot or changeable environments. All cameras require indoor environments with calm air, consistent temperature and no direct sunlight. Installation should also be avoided in semi-open locations that may be prone to changes in ambient conditions, such as doorways, and there should be enough stable, visible light. All devices should be installed to avoid backlighting, high temperature targets, and reflections in the field of view as far as possible. “We often see the misconception that thermal cameras can replace medical temperature measurement equipment, which is not the case,” says Mr. Li. Rapid preliminary screening “Temperature screening thermographic cameras are designed for the detection of skin-surface temperatures, and the measurement should be conducted to achieve rapid preliminary screening in public areas. It is really important that actual core body temperatures are measured subsequently with clinical measurement devices.”

A feeling of security is a universal human need. And beyond physical, bodily security, people need to know that their environment, investments, and belongings are safe as well. Security systems are installed in homes and businesses every day to create that sense of security. Compared to conventional sensor-based alarm systems, a surveillance system that utilises cameras has several advantages: The ability to watch events in real-time, Obtaining key data around those events, and Providing solid and accurate evidence for law enforcement. AcuSense technology Hikvision AcuSense technology distinguishes people and vehicles from other moving objects Empowered by deep learning algorithms, Hikvision AcuSense technology distinguishes people and vehicles from other moving objects. AcuSense is the perfect choice for an accessible and intelligent security system. AcuSense technology helps to focus on human and vehicle events in two ways: The device will only trigger an alarm when the preset intrusion type (human or vehicle) takes place, and Videos related to alarm events are sorted into human and vehicle categories for easier footage searches. With AcuSense Technology, users get some powerful functions, such as: Accurate alarm for humans and vehicles - Focus on alarms triggered by humans and vehicles while false alarms triggered by animals or irrelevant objects are vastly reduced. Visual and auditory warning - On-site response and deterrence methods using visual and customisable auditory warnings add another layer of protection. Search targets quickly by type - Video clips sorted by human and vehicle categories, and object classification improves search efficiency. Searching video clips gets easier Video clips are already sorted into the ‘Human Files’ and ‘Vehicle Files’. Users just need to click one of these categories and use time or location data to quickly locate the clip that they want. Compared to the conventional method that displays all video files at once, AcuSense technology enables carrying out searching much more easily. Ideal applications Residential – Intrusion detection and deterrence for home security Whether choosing to keep an eye on the house or hiring a professional service provider to look after security of the home, there are two functions that users will surely want to have: Prompt notification via smartphone Users will get a notification on the app or via SMS, when the alarm is triggered. Irrespective of who takes care of looking after intrusion events, it’s always good to have first-hand information. Users will get a notification on the app or via SMS, when the alarm is triggered. Then, they can check out the live video from their smartphone. Light and Sound Intruder Deterrence Knowing what the suspect looks like is important, especially for providing evidence to police. However, property losses have already occurred at that time. It would be even better if there were means that can provide on-site deterrence and prevent any loss at all. Network Cameras with AcuSense technology Network Cameras with AcuSense technology, white light and audio alarm can be set to react to intrusion events with a flashing light and customisable siren, alerting any would-be intruder that they are being monitored and have already been spotted. Turbo DVR with AcuSense technology requires a PIR/TurboX camera for visual and audible alarm. Factories – Accurate trespass alarm, 24 hours a day Factories and warehouses store high-value raw materials or commodities. Security here is crucial. However, there is usually only limited manpower to perform such tasks. Replace security patrols with camera monitoring Using AcuSense technology can greatly improve perimeter monitoring efficiency and ensure that limited human resources can be deployed only where most needed. Accurate Trespassing Alarm for Human Targets Factories and warehouses mostly deal with human intrusion events, which might turn into burglary or vandalism. The security team can set devices with AcuSense to send alerts only upon the detection of a human intrusion. Wild animals crossing the line will no longer trigger the alarm.

Security teams using traditional motion detection technologies regularly experience false alarms caused by everything from heavy rain to falling leaves, flowing water, or even passing wildlife. To help teams identify and respond to real security breaches faster, Hikvision has embedded its flagship AcuSense technology in its Motion Detection functionality, which supports identification of human and vehicle targets, and take security teams straight to the video evidence they need. Until recently, most systems with traditional motion detection used ‘pixel changes’ to trigger alerts. While this approach can pick up real security threats, like an intruder breaching a perimeter wall, there is also a high risk of false alarms. Potential security threats This is especially the case in ‘movement intensive’ environments, such as areas close to running water, busy roads, or farms where large animals roam. In these types of spaces, many motion detection systems are unable to distinguish between normal or expected movements and potential security threats - rendering them ineffective. Additionally, there’s the challenge of actually finding video evidence once a breach has occurred. In spaces where movement is constant, teams need to review every minute of footage manually - increasing workloads, frustration and - ultimately - costs as well. To address the challenges, Hikvision has upgraded its Motion Detection with its AcuSense technology. This takes motion detection to the next level with features for distinguishing human beings and vehicles from other objects in any given environment, and tools to make video searches as smart and quick as possible. Real security threats Security teams capture every potential security threat as soon as the system is up and running The first key way that Hikvision Motion Detection 2.0 improves security is by allowing administrators to easily configure alerts when people or vehicles enter an environment. If an area is usually busy with visitors or pedestrians, the systems can be configured to ignore certain areas of the screen and only generate alerts if a person or vehicle enters an unauthorised zone, for example. With automated alerts for vehicles or people entering restricted areas, security teams can respond much more quickly and effectively to potential security breaches - helping to increase protection for people and assets. The second major advantage of Motion Detection 2.0 is the ability to search video footage based on appearances of people or vehicles during a specific period of time. Activate motion detection This is to say that administrators can call up and playback video clips of people and vehicles that have been recorded on the back-end devices like NVRs or DVRs, with no need to pore over hours of video footage. This feature means that hours or even days of security footage can be reviewed in just a few minutes, and that teams can quickly find high-quality video images of critical security breaches that have occurred. While systems with Hikvision Motion Detection 2.0 offer sophisticated functionality to improve security, they are also quick and easy to configure and use. One reason for this is that the new systems activate motion detection automatically, ensuring that security teams capture every potential security threat as soon as the system is up and running. Alerts triggered by movements or by positive identification of people or vehicles are sent automatically to security teams, enabling a fast, effective response.