Hikvision CCTV Network / IP Cameras

While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware. CCTV surveillance cameras  Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention? It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents. Live Facial Recognition (LFR) We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition Across recent weeks, we have seen pleas from UK organisations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift. We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society. Facial recognition technology - A force for good Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives. One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centres or police stations of their identity, condition and where they need to go (a home address or a next of kin contact). Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations. Tracking and finding missing persons Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognise individuals even if up to 50% of their face is covered and from challenging or oblique angles. Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analysing CCTV footage. Rapid scanning of images Facial recognition technology can rapidly scan images for a potential match Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold. It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable.   Debunking the myths One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal. The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognise. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed. Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted. Privacy Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative. As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the centre of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly. Biometrics, mask detection and contactless payments Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police. There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.  

Urban populations are expanding rapidly around the globe, with an expected growth of 1.56 billion by 2040. As the number of people living and working in cities continues to grow, the ability to keep everyone safe is an increasing challenge. However, technology companies are developing products and solutions with these futuristic cities in mind, as the reality is closer than you may think. Solutions that can help to watch over public places and share data insights with city workers and officials are increasingly enabling smart cities to improve the experience and safety of the people who reside there. Rising scope of 5G, AI, IoT and the Cloud The main foundations that underpin smart cities are 5G, Artificial Intelligence (AI), and the Internet of Things (IoT) and the Cloud. Each is equally important, and together, these technologies enable city officials to gather and analyse more detailed insights than ever before. For public safety in particular, having IoT and cloud systems in place will be one of the biggest factors to improving the quality of life for citizens. Smart cities have come a long way in the last few decades, but to truly make a smart city safe, real-time situational awareness and cross-agency collaboration are key areas which must be developed as a priority. Innovative surveillance cameras with integrated IoT Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns Public places need to be safe, whether that is an open park, shopping centre, or the main roads through towns. From dangerous drivers to terrorist attacks, petty crime on the streets to high profile bank robberies, innovative surveillance cameras with integrated IoT and cloud technologies can go some way to helping respond quickly to, and in some cases even prevent, the most serious incidents. Many existing safety systems in cities rely on aging and in some places legacy technology, such as video surveillance cameras. Many of these also use on-premises systems rather than utilising the benefits of the cloud. Smart programming to deliver greater insights These issues, though not creating a major problem today, do make it more challenging for governments and councils to update their security. Changing every camera in a city is a huge undertaking, but in turn, doing so would enable all cameras to be connected to the cloud, and provide more detailed information which can be analysed by smart programming to deliver greater insights. The physical technologies that are currently present in most urban areas lack the intelligent connectivity, interoperability and integration interfaces that smart cities need. Adopting digital technologies isn’t a luxury, but a necessity. Smart surveillance systems It enables teams to gather data from multiple sources throughout the city in real-time, and be alerted to incidents as soon as they occur. Increased connectivity and collaboration ensures that all teams that need to be aware of a situation are informed instantly. For example, a smart surveillance system can identify when a road accident has occurred. It can not only alert the nearest ambulance to attend the scene, but also the local police force to dispatch officers. An advanced system that can implement road diversions could also close roads around the incident immediately and divert traffic to other routes, keeping everyone moving and avoiding a build-up of vehicles. This is just one example: without digital systems, analysing patterns of vehicle movements to address congestion issues could be compromised, as would the ability to build real-time crime maps and deploy data analytics which make predictive policing and more effective crowd management possible. Cloud-based technologies Cloud-based technologies provide the interoperability, scalability and automation Cloud-based technologies provide the interoperability, scalability and automation that is needed to overcome the limitations of traditional security systems. Using these, smart cities can develop a fully open systems architecture that delivers interoperation with both local and other remote open systems. The intelligence of cloud systems can not only continue to allow for greater insights as technology develops over time, but it can do so with minimal additional infrastructure investment. Smart surveillance in the real world Mexico City has a population of almost 9 million people, but if you include the whole metropolitan area, this number rises sharply to over 21 million in total, making it one of the largest cities on the planet. Seven years ago, the city first introduced its Safe City initiative, and ever since has been developing newer and smarter ways to keep its citizens safe. In particular, its cloud-based security initiative is making a huge impact. Over the past three years, Mexico City has installed 58,000 new video surveillance cameras throughout the city, in public spaces and on transport, all of which are connected to the City’s C5 (Command, Control, Computers, Communications and Citizen Contact) facility. Smart Cities operations The solution enables officers as well as the general public to upload videos via a mobile app to share information quickly, fixed, body-worn and vehicle cameras can also be integrated to provide exceptional insight into the city’s operations. The cloud-based platform can easily be upgraded to include the latest technology innovations such as licence plate reading, behavioural analysis software, video analytics and facial recognition software, which will all continue to bring down crime rates and boost response times to incidents. The right cloud approach Making the shift to cloud-based systems enables smart cities to eliminate dependence on fibre-optic connectivity and take advantage of a variety of Internet and wireless connectivity options that can significantly reduce application and communication infrastructure costs. Smart cities need to be effective in years to come, not just in the present day, or else officials have missed one of the key aspects of a truly smart city. System designers must build technology foundations now that can be easily adapted in the future to support new infrastructure as it becomes available. Open system architecture An open system architecture will also be vital for smart cities to enhance their operations For example, this could include opting for a true cloud application that can support cloud-managed local devices and automate their management. An open system architecture will also be vital for smart cities to enhance their operations and deliver additional value-add services to citizens as greater capabilities become possible in the years to come. The advances today in cloud and IoT technologies are rapid, and city officials and authorities have more options now to develop their smart cities than ever before and crucially, to use these innovations to improve public safety. New safety features Though implementing these cloud-based systems now requires investment, as new safety features are designed, there will be lower costs and challenges associated with introducing these because the basic infrastructure will already exist. Whether that’s gunshot detection or enabling the sharing of video infrastructure and data across multiple agencies in real time, smart video surveillance on cloud-based systems can bring a wealth of the new opportunities.

Several major players vigorously employ biometric recognition technologies around the globe. Governments use biometrics to control immigration, security, and create national databases of biometric profiles. Being one of the most striking examples, the Indian Aadhaar includes face photos, iris, and fingerprints of about 1.2 billion people. Financial institutions, on their part, make use of biometrics to protect transactions by confirming a client's identity, as well as develop and provide services without clients visiting the office. Besides, biometric technology ensures security and optimises passenger traffic at transport facilities and collects data about customers, and investigates theft and other incidents in retail stores. Widespread use of biometrics Business, which suddenly boosted the development of biometrics, is an active user of biometric technology Business, which suddenly boosted the development of biometrics, is another active user of biometric technology. Industries choose biometric systems, as these systems are impossible to trick in terms of security, access control, and data protection. Being in demand in business, these three tasks are also relevant for the industry. However, the use of biometrics at industrial sites is discussed unfairly seldom. Therefore, it is the face identification that is the most convenient there, as workers often use gloves, or their hands may be contaminated, and the palm pattern is distorted by heavy labour. All these features make it difficult to recognise people by fingerprints or veins and significantly reduce identification reliability. Therefore, industries seek facial recognition solutions. Thus, let us demonstrate the application of face recognition technology at different enterprises, regardless of the area. Facial recognition use in incident management Facial biometric products are known to automate and improve the efficiency of security services by enriching any VMS system. These systems provide an opportunity of instantly informing the operator about recognised or unrecognised people, and their list membership, as well as save all the detected images for further security incident investigation. Furthermore, some sophisticated facial biometric systems even provide an opportunity to build a map of the movements of specific people around a site. Besides, it is relevant not only for conducting investigations but also in countering the spread of the COVID-19 virus. Identifying and tracking COVID-19 positive cases Therefore, if an employee or visitor with a positive COVID-19 test enters a facility, the system will help to track his/her movement and identify his/her specific location. It will also help to take the necessary measures for spot sanitary processing. Thus, the introduction of biometric facial recognition at the industrial enterprise can improve and speed up the incidents’ response and investigations without spending hours watching the video archive. Access control system to secure physical assets The right access control system can help industries secure physical and informational assets The right access control system can help industries secure physical and informational assets, cut personnel costs, and keep employees safe. Facial recognition systems may enrich access control systems of any company by providing more security. As biometric characteristics, by which the system assesses the compliance of a person with the available profiles in the database, cannot be faked or passed. The human factor is also reduced to zero, due to the fact that while identity documents can be changed, the inspector can make a mistake or treat his/her task carelessly, be in collusion with an intruder, the biometric system simply compares a person in front of the camera with the biometric profiles database. Biometric facial identification software For example, RecFaces product Id-Gate, a specialised software product for reliable access control to the site, checks the access rights by using biometric facial identification alone or in conjunction with traditional IDs (electronic passes, access keys, etc.), which means that there is almost a zero probability of passing to the site by someone else's ID. The access control system’s functionality allows one to strictly account the number and time of all the facility’s visitors and also track their movement. When unauthorised access is attempted or a person from the stop list is detected, Id-Gate sends an automatic notification to the access control system and operator. Enhanced data and information security Even despite the division of access to different industrial enterprise areas, the security service needs to provide independent information system security. Employees with the same facility access rights may have different access rights to data. However, in that case, a personal password is not enough, as an employee may forget it, write it down and leave it as a reminder, tell a colleague to do something for him/her during the vacation, or just enter it at another person’s presence. Password-free biometric authentication systems make the procedure user-friendly and secure Password-free biometric authentication Password-free biometric authentication systems make the procedure user-friendly and secure. Such systems usually provide an option of two-step verification when successful password entry is additionally confirmed by biometric recognition. Hence, it is particularly relevant due to the current lockdown in many countries. To sum up, the application of biometric technologies solves several issues of the industry, such as: Optimises and partially automates the work of the security service, as it provides reliable identification and verification of visitors/employees, reduces the amount of time spent on finding a person on video and making a map of his/her movements, without spending hours on watching video archive in case of investigation. Provides a high level of reliability and protection from unauthorised access to the enterprise and the information system. Provides a two-step verification of the user/visitor (including password and biometric data) and almost eliminates the risk of substitution of user data/ID.

Hikvision, an IoT solution provider with video as its core competency, announced its latest traffic product offering - the All-Rounder ITS camera - designed to improve road safety and optimise traffic flow. As the name implies, the camera encompasses different skills and abilities, boasting speed detection, traffic violation detection, automated plate recognition, and vehicle attribute analysis in one housing. “Hikvision is always pushing the boundaries of video technologies. Beyond the visual range that is perceived by video cameras, the abilities to understand other kinds of “senses” would allow even more precise monitoring and reporting of events or accidents,” says Frank Zhang, President of International Product and Solution Center at Hikvision. “This is multi-dimensional perception, a trend that we think will affect the security industry in the future.” Optimising traffic flow The new ITS camera is designed and developed with this multi-dimensional concept in mind. It is Hikvision’s first camera to integrate three otherwise separate modules in one unit with no compromise on performance, making the camera neat and flexible to be deployed for demanding environments, all in an easy and cost-effective manner. The product provides an HD camera, speed radar, and light array inside one housing. Specifically, it works with a multi-tracking radar that continuously monitors up to two or three traffic lanes - depending on the camera model, and identifies the speed and position of objects in the monitored area at a speed of up to 300 km/h. If a vehicle violates the speed limit, the embedded radar triggers the connected camera and a picture is taken of the vehicle and its licence plate. Conventional ANPR systems Incident detection helps to improve overall driving standards, which ultimately reduces the number of accidents In the event of infringements of traffic rules such as wrong-way driving, improper lane usage, or even failure to use a seat belt, the camera will capture images of the corresponding vehicle, recognise its licence plate and relevant information including vehicle type, colour, brand, and direction of movement, which can be addressed to the authorities in real-time or stored on board. Incident detection helps to improve overall driving standards, which ultimately reduces the number of accidents, improves road safety and further evens traffic flow. Employed with Deep Learning algorithms, the camera is able to recognise a much higher number of licence plates and with higher efficiency than conventional ANPR systems. Its GMOS sensor further ensures brighter and smoother images to be reproduced in challenging lighting conditions, especially in low-light environments. The camera’s embedded supplemental light features a 16-bead light array, offering an IR range of up to 40 metres at night. Seamless onsite configuration As all of these functionalities are integrated, the single product itself outperforms conventional ITS products with space-saving and less cabling for easier installation. It supports flexible pole- or side-mounting, which makes onsite configuration effortless. The Hikvision All-Rounder ITS camera is ideal for various scenes such as urban roads, highways, tunnels and toll stations. For more information, one can visit the product page of iDS-TCV907-BIR on the company’s official website.

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.