LILIN Digital video recorders (DVRs)  (49)

Human beings have a long-standing relationship with privacy and security. For centuries, we’ve locked our doors, held close our most precious possessions, and been wary of the threats posed by thieves. As time has gone on, our relationship with security has become more complicated as we’ve now got much more to be protective of. As technological advancements in security have got smarter and stronger, so have those looking to compromise it. Cybersecurity Cybersecurity, however, is still incredibly new to humans when we look at the long relationship that we have with security in general. As much as we understand the basics, such as keeping our passwords secure and storing data in safe places, our understanding of cybersecurity as a whole is complicated and so is our understanding of the threats that it protects against. However, the relationship between physical security and cybersecurity is often interlinked. Business leaders may find themselves weighing up the different risks to the physical security of their business. As a result, they implement CCTV into the office space, and alarms are placed on doors to help repel intruders. Importance of cybersecurity But what happens when the data that is collected from such security devices is also at risk of being stolen, and you don’t have to break through the front door of an office to get it? The answer is that your physical security can lose its power to keep your business safe if your cybersecurity is weak. As a result, cybersecurity is incredibly important to empower your physical security. We’ve seen the risks posed by cybersecurity hacks in recent news. Video security company Verkada recently suffered a security breach as malicious attackers obtained access to the contents of many of its live camera feeds, and a recent report by the UK government says two in five UK firms experienced cyberattacks in 2020. Cloud computing – The solution Cloud stores information in data centres located anywhere in the world, and is maintained by a third party Cloud computing offers a solution. The cloud stores your information in data centres located anywhere in the world and is maintained by a third party, such as Claranet. As the data sits on hosted servers, it’s easily accessible while not being at risk of being stolen through your physical device. Here’s why cloud computing can help to ensure that your physical security and the data it holds aren’t compromised. Cloud anxiety It’s completely normal to speculate whether your data is safe when it’s stored within a cloud infrastructure. As we are effectively outsourcing our security by storing our important files on servers we have no control over - and, in some cases, limited understanding of - it’s natural to worry about how vulnerable this is to cyber-attacks. The reality is, the data that you save on the cloud is likely to be a lot safer than that which you store on your device. Cyber hackers can try and trick you into clicking on links that deploy malware or pose as a help desk trying to fix your machine. As a result, they can access your device and if this is where you’re storing important security data, then it is vulnerable. Cloud service providers Cloud service providers offer security that is a lot stronger than the software in the personal computer Cloud service providers offer security that is a lot stronger than the software that is likely in place on your personal computer. Hyperscalers such as Microsoft and Amazon Web Service (AWS) are able to hire countless more security experts than any individual company - save the corporate behemoth - could afford. These major platform owners have culpability for thousands of customers on their cloud and are constantly working to enhance the security of their platforms. The security provided by cloud service providers such as Claranet is an extension of these capabilities. Cloud resistance Cloud servers are located in remote locations that workers don’t have access to. They are also encrypted, which is the process of converting information or data into code to prevent unauthorized access. Additionally, cloud infrastructure providers like ourselves look to regularly update your security to protect against viruses and malware, leaving you free to get on with your work without any niggling worries about your data being at risk from hackers. Data centres Cloud providers provide sophisticated security measures and solutions in the form of firewalls and AI Additionally, cloud providers are also able to provide sophisticated security measures and solutions in the form of firewalls and artificial intelligence, as well as data redundancy, where the same piece of data is held within several separate data centres. This is effectively super-strong backup and recovery, meaning that if a server goes down, you can access your files from a backup server. Empowering physical security with cybersecurity By storing the data gathered by your physical security in the cloud, you're not just significantly reducing the risk of cyber-attacks, but also protecting it from physical threats such as damage in the event of a fire or flood. Rather than viewing your physical and cybersecurity as two different entities, treat them as part of one system: if one is compromised, the other is also at risk. They should work in tandem to keep your whole organization secure.

The sound of sirens in the distance is commonplace, nowadays. Whether related to a medical emergency or everyday crimes, such as theft, property crimes, and so on, we’re all accustomed to hearing these sirens by now. It is worth noting that many incidents that police respond to take place at night. According to a recent report by the Sleep Judge, more than half of murders, manslaughter, sexual assaults, robberies, aggravated assaults and motor vehicle thefts happen long after the sun has set. To anyone looking to address the round-the-clock security challenge, deploying the most comprehensive surveillance solution is a must, and this means, looking at the instrumental role illumination plays in video capture. Limitations of Traditional Video Surveillance If surveillance cameras can’t be used to prevent, detect and/or resolve crimes that occur in these areas, the entire security operation is obsolete For surveillance cameras relying on video analytics and artificial intelligence (AI) to deliver functionalities such as facial recognition, license plate reading and motion detection, nighttime crimes can pose something of a problem. Without adequate illumination, images from video cameras are grainy and unusable. Without proper lighting, potential criminals and moving objects essentially become indistinguishable, at night, thereby inhibiting even the most advanced security technologies. This limitation of traditional surveillance technology not only hinders immediate police response, but it also stops crime investigations dead in their tracks. Often, without video evidence that is clear and discernible, conviction in a court of law is next to impossible. A common response to this issue is to place security cameras near streetlights or well-lit areas. After all, according to NPR, street lights are effective in deterring crime,  as “there are people — neighbors, pedestrians or police — to actually see suspicious activity.” However, even if streetside and primary entrances are well lit, the areas that still need most to be surveilled are rear or side doorways shrouded by darkness, unlit back alleys, and so on. If surveillance cameras can’t be used to prevent, detect and resolve crimes that occur in these areas, the entire security operation is obsolete. Best-in-class security solutions must be able to see everything, day and night. A Purpose-Designed Solution to the Problem Addressing this issue is easier than you might think. Much like a human eye needs some sort of light to “see,” so does video surveillance technology. Integrating external illuminators into a security solution can optimize camera performance exponentially, expanding a camera’s video capture and coverage abilities and ensuring the operation of video analytics, day and night. Opting for an external illuminator allows system integrators to select a device that matches the exact emission range of a camera’s field of view (FOV). The result is an evenly lit visual field, where captured images are clear and effective for security purposes. The two most common options available to integrators include infrared (IR) and white light illuminators. Each technology is built to optimize particular deployments, depending on their needs. Infrared Versus White Light IR illuminators emit IR light, which is invisible to the human eye and perfect for covert surveillance operations. When cameras need to be able to detect potential threats over long distances, IR illuminators are perfect for the job as they typically have longer emission ranges. IR illuminators are optimal for surveillance operations in license plate recognition, border patrol, safe cities, theme park, and medical sleep lab applications. If an end user needs to implement full-color video analytics for identification purposes, such as facial, object and license plate recognition, white light illuminators are undoubtedly an integrator’s best bet. IR illumination and traditional thermal security cameras, after all, are only able to provide black-and-white images, whereas object recognition software often identifies objects based on their color. White light illuminators installed alongside AI-powered surveillance cameras enable enhanced video image clarity, which, optimizes video analytics performance. When customers want to physically deter suspicious activity, deploying white light illuminators is effective. A recent study out of Crime Labs New York found that businesses that deployed visible lights to deter crime “experienced crime rates that were significantly lower,” which “led to a 36 percent reduction in ‘index crimes’”. On top of all this, LED based white lights operate at low running costs and typically have long lifespans, saving end users thousands of dollars a year in energy costs without having to sacrifice surveillance optimization. External Versus Built-In Illumination Security customers looking to use lighting to deter crime and improve the performance of video surveillance may consider “all-in-one" solutions, as some cameras have LEDs (light emitting diodes) built into them. These LEDs typically encircle the lens and therefore shed light in whatever direction the camera is pointed. However convenient these may seem, built-in illumination can cause problems.Cameras deployed without proper illumination are rendered blind, especially at night First, LEDs built into cameras and next to other electronic components often cause heat to build up, which attracts insects that can trigger motion detection and obstruct a camera’s view. This heat buildup also shortens the LED lights lifespan. Built-in LEDs also tend to create “hot spots” with glare and reflection back into the camera, often because these lights only cover a 30-degree field of view (FOV), even though the average camera’s FOV is 90 degrees. This issue can severely limit a camera’s visibility, essentially rendering those remaining 60 degrees dark and unusable. All in all, when integrating lighting solutions into your security deployment, a cost-effective solution that enhances a camera’s video capture and coverage abilities, are external illuminators because they offer flexible choices of field of view and distances. Best-in-Class Solution When it comes to criminal conviction in a court of law, “seeing really is believing.” Cameras deployed without proper illumination are rendered blind, especially at night, just as any security officer would be when patrolling the same unlit area. To guarantee end users the most reliable and highest performing security solution, consider integrating best-in-class illumination into your offerings.

In today’s market, efficient use of bandwidth and storage is an essential part of maintaining an effective video surveillance system. A video management system’s ability to provide analysis, real time event notifications and crucial image detail is only as a good as the speed and bandwidth of a surveillance network. In the physical security industry, H.264 is the video compression format used by most companies. Some companies also employ H.264 enhancements to compress areas of an image that are irrelevant to the user at a higher ratio within a video stream in order to preserve image quality for more important details like faces, license plates or buildings. The H.265, H.264’s successor, will be increasingly used for compression in the future. Some companies are already using H.265 in their cameras and video management systems, while a host of other manufacturers are certainly preparing for its broader adoption in the years to come. Video Compression Technologies Reduced bandwidth and storage requirements are the primary benefits of video compression technologies Reduced bandwidth and storage requirements are the primary benefits of video compression technologies. In some cases, H.265 can double the data compression ratio of H.264, while retaining the same quality. Increased compression rate translates into decreased storage requirements on hard drives, less bandwidth usage and fewer switches – all of which reduce overall costs of system ownership. H.265 compression delivers a lower bitrate than H.264, which is relevant to end users and integrators because the lower bitrate reduces strain on hardware and can reduce playback issues. It’s very important that the compression format that is used is supported in all of the different components of a system: cameras, desktop computers on which the VMS is running and the VMS itself. It is also good for end users and integrators to understand the basics of video compression. Having a basic understanding of compression allows users to tweak settings to reduce bandwidth usage even more. Many cameras come with default settings that can be changed to ultimately reduce costs. ONVIF Physical Security In the physical security industry, ONVIF is working to incorporate into its specifications the use of new formats such as H.265 but is not directly involved in developing the compression standards themselves. With Profile T, the new ONVIF video profile released will employ a new media service that is compression agnostic. This means that it can support new video compression formats, including H.265, as well as new audio compression formats, with the ability to include new video and audio codecs as needed in the future without having to redesign its media service. In the physical security industry, ONVIF is working to incorporate into its specifications the use of new formats such as H.265 Standardization organizations that are directly addressing new compression standards include the International Telecommunication Union (ITU), the Moving Picture Experts Group (MPEG) and a joint commission of the International Organization for Standardization (ISO)/International Electrotechnical Commission (IEC), which is addressing the coding of audio, picture, multimedia and hypermedia information. Other compression formats on par with H.264 and H.265 are being developed by companies such as Google. H.265 Compression Formats Using products that employ H.265 compression will reduce costs through bandwidth reduction, as will changing default settings on cameras, which are often conservative. Having a basic understanding of compression formats and how to tweak camera factory default settings also gives integrators the ability to further reduce bandwidth for added costs savings and increased system performance. These enhancements will analyse which parts of an image are most important and adjust local levels of compressions accordingly It is also worth noting that H.265 enhancements will likely be developed by camera manufacturers to further reduce bandwidth, as was the case with H.264. These enhancements will analyze which parts of an image are most important and adjust local levels of compressions accordingly. While H.265 itself is ready for prime time, its value as a tool for IP-based surveillance systems is dependent on support for the codec in all parts of the system – the VMS, server hardware, graphics cards and camera. Though widespread H.265 adoption is predicted, providers of these components are jumping on the H.265 bandwagon at different rates of speed. ONVIF is including support for H.265 in its new video profile, Profile T, because it believes it will become the most widely used compression format and ONVIF recognizes the need to anticipate that migration as a future need of the industry. The new media service, which will be implemented with Profile T, will be future-proof in that when new compression formats are released in the future, ONVIF can adopt them very quickly. That flexibility will definitely help integrators.

LILIN, a globally renowned manufacturer of IP video cameras, recording devices, and software, announced a strategic partnership with CyberLink, a pioneer of AI and facial recognition technologies to strike business opportunities for facial recognition. Together, CyberLink’s FaceMe AI facial recognition engine will be integrated into the LILIN facial recognition system to create comprehensive smart security and smart retail solutions. FaceMe AI facial recognition solution CyberLink’s FaceMe AI facial recognition engine achieves up to 99.7% accuracy of the NIST FRVT test, ranked No. 1 in Taiwan, and when combined with LILIN’s smart security solutions, enables one-stop smart security, data analysis and warning system service. LILIN’s smart security solution is suitable for access control management of commercial offices and factories and can provide business analysis for the restaurant and retail industries as well. AI facial recognition system LILIN’s AI facial recognition system not only has the advantage of ‘3 High’ elements, encompassing a ‘High’ recognition rate Along with over 40 years of experience in IP video manufacturing and development of IP cameras, recording devices and software, LILIN continues to pursue innovation. LILIN’s AI facial recognition system not only has the advantage of ‘3 High’ elements, encompassing a ‘High’ recognition rate, ‘High’ capacity, up to 100,000 face database and ‘High’ elevation angle to be recognized, but also supports multiple image inputs, and image search facial recognition, making it easy to distinguish the trajectory of personnel. Furthermore, companies can create file identification through a photo of the ID, and use one-stop central management to synchronize the data immediately, greatly reducing the precious time spent on complicated processes! Intelligent security solutions “LILIN has many years of smart security experience, providing insight into the market’s needs for creating a comprehensive intelligent security solution. LILIN is pleased to partner with CyberLink and integrates FaceMe into our facial recognition system to strengthen smart retail, smart healthcare, smart factory, and smart business applications. Through continued efforts, I believe that LILIN will provide the most advanced total security solution for global customers.” said Mr. C.C. Hsu, LILIN’s President. “If there was ever a field worthy of continued research and innovation, it’s security,” said Dr. Jau Huang, CEO of CyberLink, adding “Without a doubt, LILIN is a globally renowned provider and manufacturer of IoT devices and CyberLink is a worldwide pioneer developing facial recognition applications for connected devices. Together, we are setting a new standard for what makes a place secure by bringing to market new technologies that make our customers safer, and our businesses smarter.”

The COVID-19 pandemic is the defining global health crisis of our time. In order to be able to fight against it, mask detection and temperature measurement have become daily routines for everyone. In this situation, Merit LILIN, with over 40 years of experience in IP video manufacturers of IP cameras, recording devices, and software, have created a cost-effective COVID-19 solution to ensure end-user health and safety. Temperature measurement Many solutions should provide temperature information, with alert settings that trigger alarms when temperatures are high. The main component of LILIN Temperature Measuring Camera is a dual-lens camera with two sensors, one a visible image lens and the other a thermal array sensor. This design not only provides temperature information and color image information but also high-temperature alert settings when the temperature exceeds.  Mask detection With COVID-19 rules and regulations now incorporating person protection equipment such as masks, many solutions are now geared towards mask detection. LILIN has its own mask detection AI, which can be run on an i3 CPU-supported PC. Using the LILIN AI system and Aida NAV server, the system can recognize if the person is wearing a mask or not. If the system identifies a user that is not wearing a mask, an alert goes out with an image of the person. It allows the application to run automatically and enforces the wearing of masks in many situations. A notification is sent to an administrator when an image of a person is captured.  Social distancing measures In addition to temperature measurement and mask detection becoming daily epidemic prevention matters, maintaining social distance is extremely significant as well. Through the LILIN Aida detection system, people can calculate the social density and use it with alarm notifications, if an area exceeds the density threshold. Moreover, the LILIN COVID-19 solution has a wide range of applications in different sectors, including schools, public transportation systems, offices, retail and more. By doing so, extensive safety measures can combat COVID-19, providing the public with intelligent epidemic prevention solutions, through innovative AI detection systems.

With the introduction of the AIDA Traffic Management platform, LILIN has transformed Intelligent Traffic Systems from expensive, often inaccurate, and inflexible computer-vision solutions into a new simplified platform with embedded Artificial Intelligence (AI) that learns, adapts and detects every detail of street-level vehicle activity. Engineered for seamless integration into LILIN Windows®-based VMS products including Navigator Control Center, Navigator Corporate, and Navigator Enterprise, AIDA Traffic Management installs on the edge and uses metadata to bring real-time traffic data to organizations and municipalities. Enforcing parking and traffic violations AIDA is purpose-built for a flexible range of ITS applications, making each user-selected function completely automated and cost-efficient. For example, AIDA can extract data from vehicles traveling on multi-lane highways or urban streets, allowing municipalities to better enforce parking and traffic violations, recover stolen cars, or assist law enforcement in Amber Alerts. AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour, casting an astonishingly wide net. Police can store and later access this data, enabling investigators to zero in on a suspect's whereabouts and behavioral patterns. Besides monitoring cars, trucks and motorcycles, AIDA can detect pedestrians loitering or entering restricted areas. Capturing vital operational data In a parking lot, AIDA can compare license plate data to pre-defined lists of allowed or excluded vehicles before taking an appropriate action, such as opening a gate or generating an alert if an unauthorized vehicle enters an area as a value-added service. It can also locate available parking slots and broadcast this information to incoming cars. In addition to its security role, AIDA can capture vital operational data about parking infrastructures, including the number of cars served by time, day, and length of stay. This data can then be applied to help optimize a staffing schedule and maximize the profitability of a parking lot's rate structure. AIDA removes the hassles of traditional computer vision techniques that require extensive, CPU-draining image processing. In contrast, AIDA software incorporates an AI engine that is instructed to learn what to look for and is able to run multiple models on distributed AI CPU, GPU, and VPUs.