MESSOA Presents Its Latest Full HD H.264 IP Cameras And New Technologies For Traffic Solutions
MESSOA Presents Its Latest Full HD H.264 IP Cameras And New Technologies For Traffic Solutions

The MEGASSOA™ Full HD H.264 network camera series incorporate a full range of functions, including intelligent detection, HyperDynamic and Smart Focus. These functions coupled with amazingly clear and detailed images to deliver a superior security solution. The MEGASSOA™ series cameras are also equipped with Lumii™ II technology that increase sensitivity and reduce video noise in low light conditions. Furthermore, it is ONVIF compliant, facilitating integration and enhancing scalability by ensuring interoperability between network video products regardless of their brand. MESSOA's complete traffic solutions deliver the latest technological excitement. The new CatchAll™ II technology enables the camera to suppress high beam headlights and capture crisper, clearer images for identification. Moreover, MESSOA's patented Lumii™ II technology helps increase the sensitivity and reduce video noise in low light conditions. It is worth mentioning that cameras equipped with the industry's leading fog penetration technology can greatly enhance its identification ratio by delivering more information-rich imagery. The full range of dedicated traffic surveillance cameras is ideal for intersections, freeways, parking areas, ports, metros, railways and tunnels, making it the most effective solution on the market for applications ranging from law enforcement to vehicle inspection. Feedback has been positive with users commenting on the many applications and features such as the user friendly interface and MESSOA's outstanding MEGASSOA™, CatchAll™ II and Lumii™ II technologies. The extremely detailed clips and the vast improvement in picture quality were also well received. Further advantages were the extremely sturdy nature of the camera and low maintenance. MESSOA is committed to employing state-of-the-art technology to offer the best products at exceptional value, accompanied by excellent customer service. We would like to thank everyone who visited us at IFSEC 2010.

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MESSOA Spotlights ANPR/LPR Solution With New CatchAll™ Engine Inside Its IFSEC 2008 Stand
MESSOA Spotlights ANPR/LPR Solution With New CatchAll™ Engine Inside Its IFSEC 2008 Stand

MESSOA's latest video surveillance solutions feature industry-leading technology and reliability.  These new offerings, which include the CatchAll™ Engine, a 560 TVL H.264-like standalone DVR, 1.3 megapixel progressive-scan CCD network cameras, and the Lumii series of products, impressed IFSEC visitors from more than 50 countries.  MESSOA's innovative CatchAll™Engine was a particular favorite and won overwhelming praise at IFSEC 2008. MESSOA's ANPR/LPR series of cameras incorporates the company's new CatchAll™ Engine, an innovative technology for optimized video processing designed to deliver clear colour overviews and razor-sharp number-plate shots of speeding vehicles to external recognition software, regardless of the setting or lighting conditions.  The technology also enables cameras to ignore extraneous information on number plates and even eliminates problems related to oncoming headlights.  Messoa spotlighted the SCR520 at its IFSEC stand to demonstrate the outstanding performance of the CatchAll™ Engine technology. The CatchAll™ Engine is also available in MESSOA's SRD100 series, which comes in 4-, 8-, and 16-channel models, and delivers superior 560 TVL resolution for live-viewing, recording, and playback for ANPR/LPR applications.  The series ensures exceptional reliability with its twin heat vents, fan- and power-failure detectors, and hardware-watchdog function, and saves recording space with a built-in noise-reduction filter.  It also provides a straightforward, easy-to-use interface, a bundled viewer that simplifies remote control, and incredible 24/7 dependability. MESSOA further impressed IFSEC 2008 visitors by offering a full range of hybrid security solutions of the future.  These included: 1.3 Mega-pixel progressive-scan CCD network cameras with PoE and SD card slots Vandal-proof high-speed domes featuring a super-wide 128X dynamic range The highly sensitive Lumii series of products, featuring vandal-proof IR domes, built-in UTP circuits, and varifocal IR bullet-cameras Vandal-proof side-opening housings with cable-management brackets and optional built-in IR IED.

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MESSOA Introduces The NCC800 Its First Cube Network Camera
MESSOA Introduces The NCC800 Its First Cube Network Camera

Targeting retail and small business applications, this feature-packed yet easy-to-use NCC800 cube camera provides 2-megapixel Full HD resolution with built-in IR LEDs and comprehensive network capabilities, suitable for any detail-demanding installation that requires 24/7 surveillance and remote monitoring in clear megapixel image quality over the network.Advanced features, including 2-way audio communication with the built-in microphone and speakers, input and output ports for alarms and sensors, local storage support, and a variety of intelligent video functions, are all packed in the NCC800 to provide a versatile surveillance solution that addresses the unique requirements of small businesses.Exceptional full HD video qualityProprietary Lumiitechnology significantly enhances the camera sensitivity while reducing video noise to deliver optimized video images in unparalleled sharpness without distortion in a low light environment. Whether it is general overview or close-up focus, day or night, the NCC800 provides wider and clearer images in full HD video quality at full frame rates around the clock. Blurry images are minimised, and individuals and objects of interest come through in perfect clarity.True visibility in pitch darknessLeading the industry in illumination distance, the integrated infrared LED illuminator gives true, maximised visibility in complete darkness with uniform light distribution up to 10 meters (33ft.), suitable for off-hour surveillance, low to no light applications or places required for 24/7 covert surveillance.Hassle-free installation with flexible connectivity The NCC800 can be powered by either DC 12V or Power over Ethernet (PoE), adding flexibility to camera installations where power outlet is unavailable. In addition to the standard Ethernet connection to a wired network, the NCC800 is also compatible with Wi-Fi connectivity and provides the high-speed, reliable wireless network connection without the hassle of complicated wiring.

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MESSOA Presents Its 50 Metre (164ft) Infrared Camera With Vari-focal Lens - The SCR368
MESSOA Presents Its 50 Metre (164ft) Infrared Camera With Vari-focal Lens - The SCR368

MESSOA is proud to present their newest, superior infrared CCTV camera - the SCR368. The SCR368 possesses a 50 metre (164 feet) view range that can capture sharp pictures in even the darkest night. Enhanced with Lumii™ III - the latest in image enhancing technology - the SCR368 is able to make images appear sharper and clearer than traditional cameras. Clear, visible pictures at night The MESSOA SCR368 is a high quality, CCTV, bullet camera that can show clear pictures in all conditions. It is equipped with a 1/3" SONY Exview HAD CCD II that is able to reproduce 700 TV lines of image clarity. Implemented with exclusive Lumii™ III technology, the SCR368 is capable of displaying first rate 12-bit images. This enables the SCR368 to deliver a representation of the detected image that is sharper and clearer than conventional cameras. Lumii™ III technology also helps to tackle difficult conditions. For instance, Lumii™III greatly enhances camera sensitivity in extremely low light environments. Conventional cameras switch to B/W mode when encountering a poorly lit environment; not so with the SCR368 which allows for crystal clear clarity even in 0 lux situations. Wide coverage area let's you see more A quality, 6mm~50mm vari-focal lens allows you more flexibility in camera placement while giving a wide coverage area. Proper view angles are easy to set up using only a single lens thus reducing inventory requirements. The 6mm~50mm vari-focal lens provides great shots at any angle. Intelligent power consumption The SCR368 uses 7W of power max - much lower than other IR cameras. A single light control reduces power consumption by 30%-40%. Additionally, IR LEDS do not always need to be on during night time surveillance, but only until the monitored environment reaches under 10 lux. Thus, LED life is extended and requires less maintenance. No IR reflections and focus shift problems The SCR368 comes with superior IR LED design to reduce IR disturbance. Reflection is prevented and a wide variety of installation locations become available. It is also equipped with an IR corrected lens to remove focus shift problems when switching between day and night modes. Built tough and feature packed With an IP66-rated housing, the SCR368 is resistant to extreme weather, vandalism and tampering. Also, intelligent cable management protects the cameras wires from water, heat and other hazards while making installation simple in any location. The settings can be easily adjusted using the controls on the housing, without the need to open the case. Motion detection automates and enhances the ability to detect potential threats. Customisable privacy zones allow ultimate flexibility when blocking out residential and private areas that do not need to be recorded.

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Messoa SCR 505 Infrared 15M Plate-capture Camera
Messoa SCR 505 Infrared 15M Plate-capture Camera

MESSOA introduced two new LPR/ANPR cameras for entrance and parking applications at IFSEC 2009. One of the new offerings features our CatchAll™ Engine, an innovative technology for optimized video processing that delivers clear color overviews and razor-sharp number-plate shots of moving vehicles to external recognition software. Both new cameras also feature vandal resistance and an IP66 weatherproofing rating. Both new LPR/ANPR cameras make outstanding traffic-security solutions. The SCR505 features high-contrast imaging performance that delivers sharp, clear license-plate captures of vehicles moving up to 30km/h, even in bad weather and low-light conditions. The SCR506 incorporates color-overview functionality that enables this plate-capture camera to monitor its surroundings, gathering information on vehicle type, color, and model. The SCR506 can also capture non-reflective plates at short range (less than 5 meters), and includes an ICR day/night mode that enables it to adapt to diverse lighting conditions. The cameras' compact design and durable housings are vandal-resistant and deliver IP66 weatherproofing, helping make them the most cost-effective solutions on the market for gated-community and parking-lot applications, as well as for traffic monitoring, law enforcement, and border control. Key features of MESSOA's traffic-security solutions include: 1/3" Sony CCD/DSP 9-22mm IR-corrected lens IR visible distance to 15 Meters (50 ft.) and an effective capture distance 3-8m (10-27 ft) Easy installation, including external controls (zoom and focus) Sunshield and rainguard Protection class: vandal-resistance and IP66 weatherproofing Applications: entrance/parking, access control, etc.

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MESSOA Innovative License Plate Capture Camera With Overview Functionality
MESSOA Innovative License Plate Capture Camera With Overview Functionality

End users often ask ANPR cameras to play a dual role: plate recognition and overview monitoring. But when cameras are tasked with capturing plates while simultaneously providing wide-area coverage, their performance suffers. MESSOAdeveloped the SCR506R specifically to address this issue. The camera delivers uncompromising close-range number-plate capture (for reflective plates) and overview-monitoring performance. The SCR506R features MESSOA's innovative CatchALL™technology. An innovative solution to the main challenges faced in traffic surveillance, CatchALL™ technology enables the camera to ignore extraneous information on number plates and even eliminates headlight glare. The SCR506R is a comprehensive solution that requires no external LPR software: reflective plates can be visually identified directly from the monitor. The camera also features integrated Day/Night overview functionality that facilitates monitoring of surrounding areas and delivers information on vehicle type, colour, and shape. Equipped with a powerful 850nm IR LED, the SCR506R works perfectly even in total darkness to deliver clear and sharp plate captures. The camera's varifocal IR-corrected lens and IR day/night mode keep it in focus day and night, optimizing its round-the-clock image-capture capabilities. In short, the SCR506R delivers the kind of reliability and day-and-night surveillance-and-capture performance crucial to maximizing the efficacy of LPR. Features: Reflective plates: optimized to capture reflective plates. Day / night overview functionality: monitors surrounding areas, gathering information on vehicle type, colour, and shape. 24-hour surveillance: ICR day/night switching enables the camera to adapt to diverse lighting conditions. Powerful IR: a high-powered LED helps minimize energy usage. Wide field of view: captures a wide 3-8m (10-27 ft) field. Rain guard / extendable sunshield: minimize the effects of rain and sunlight on image quality. Easy installation: a cable-management bracket facilitates installation in any location.

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Surveillance cameras - Expert commentary

State Of Counter-Drone Regulation For Public Safety And Physical Security
State Of Counter-Drone Regulation For Public Safety And Physical Security

In 1901 New York state made a pioneering regulation move and became the first US state to require automobile owners to register their vehicles. This marked the beginning of regulation on modern traffic, which - following decades of development - resulted in a multi-layer concept of regulation relating to vehicles and driver’s licenses, traffic signs and insurance mechanisms that we are all familiar with nowadays. While certain parallels can be drawn between the early days of cars and our contemporary experience with quadcopters, we are facing a new challenging era that is far more complex to organize and regulate. Integrating Drones In Existing Regulatory Ecosystem Similar to other pioneering technologies in the past, drones need to integrate into a long existing and well-balanced ecosystem, the rules of which have first been drafted some one hundred years ago and have evolved without taking vehicles such as drones into account. Yet the safety risks related to aviation hinder the quick integration of drones into that ecosystem, broadening the gap between existing regulatory landscape and the exponentially growing popularity and ever-advancing technology of drones. The safety risks related to aviation hinder the quick integration of drones into the legislative ecosystem For the past several years, governments and legislators have been trying to tackle this problem by trying to answer two questions: how to properly integrate drones into the airspace without creating a hazardous impact on existing airborne operations, and how to enforce regulations in order to prevent the side-effects related to careless or malicious drone flights, taking into consideration public safety and physical security. Counter-UAS Measures And Regulations Up until 2018, legislators tried to tackle these two questions as a whole by introducing bundled legislation drafts covering the entire landscape of gaps they needed to address, which resulted in multi-parliamentary committee efforts both in the US and abroad to review and approve each bill - a process that is very slow by design. It was only in the beginning of this year that the issues were starting to be addressed separately: legislation related to limitations and counter-drone measures on the one hand, and legislation related to integration into airspace on the other. Let’s take a closer look at Counter-UAS (unmanned aerial systems) measures and what makes them challenging in terms of regulation. Over the past years, various counter-drone technologies have been introduced to enable control over rogue drones in order to either stop them from achieving their flight purpose or prevent them from creating safety hazards to people or property. These measures can be grouped into 3 types of technologies: Military grade solutions - including lasers and surface-air missiles Kinetic solutions - including net-guns and autonomous drones set out to catch the rogue drone and disable it airborne Non-kinetic RF-based solutions - aimed at either disabling, disrupting or accessing the drone’s communications channels in order to trigger a return-to-home function, or guide the drone into a safe landing route Aside from combat military operations, the legality of using the above technologies is questionable as they tamper with an airborne aircraft, might be considered as wiretapping and/or violate computer fraud laws. Therefore, one can conclude that unless changes to regulation are made, non-military facilities will continue to be defenseless from and vulnerable to rogue drones.  One can conclude that unless changes to regulation are made, non-military facilities will continue to be defenseless from and vulnerable to rogue drones European c-UAS Legislation Next, let’s look at the state of c-UAS legislation in both Europe and US to better understand different legislative ecosystems and how they affect the possibilities of using counter drone measures. In the European Union, there is currently no uniform legislation, and the member countries rely on their own existing legal infrastructures. Roughly speaking, most countries use a method of exemptions to the communications and aviation laws to allow the use of counter drone measures after a close examination by the relevant authorities. Such exemptions are approved under scrutiny to particular sites, which provide some relief, but they do not allow broad use of countermeasures. Further discussion regarding a broader regulation change, on a country level or EU-wide, is only preliminary. US c-UAS Legislation Preventing Emerging Threats - provides an initial infrastructure for counter drone measures to be used by various DoJ and DHS agenciesUnlike the EU, in the US exemptions are not possible within the existing legal framework, and the possible violation of US code title 18 means that the hands of both the government or private entities are tied when attempting to protect mass public gatherings, sports venues, or critical infrastructure. Therefore, it was more urgent to introduce legislation that would allow countermeasures to some extent. In September, US Congress approved the FAA-reauthorization act for the next 5 years (H.R. 302), which was shortly after signed by the President and came into effect. Division H of the act - Preventing Emerging Threats - provides an initial infrastructure for counter drone measures to be used by various DoJ (Department of Justice) and DHS (Department of Homeland Security) agencies under strict limitations. However, the act avoids determining which technology the agencies should use, yet it requires minimal impact on privacy and overall safety in order to strike the necessary balance. This is the first profound counter-drone legislation and is expected to be followed by additional measures both in the US and in other countries. Updating Counter-Drone Legal Infrastructure In summary, 2018 has been a pioneering year for counter-drone legislation, and while technology already allows taking action when necessary, legal infrastructure needs further updates in order to close the existing gaps: covering additional federal assets, state-level governments, and private facilities of high importance, such as critical infrastructure sites. Legislators in the US and around the world need to continue working in a rapid tempo to keep up with the growing threat of drones. As with cars a century ago, the number of accidents will rise with the increase in time taken to regulate.

Advanced VMS Security Solutions Take Investigations To New Heights
Advanced VMS Security Solutions Take Investigations To New Heights

Video surveillance systems have proven to not only be a deterrent to crime, but are also now being used to collect data points to actually help detect abnormal behaviours which can alert authorities of potentially evolving situations. In either case, recorded video is critical for investigations to provide all but irrefutable evidence to prove or disprove that an incident took place and the identity of the individuals involved.  Sounds like a pragmatic approach that’s quite simple in theory. Not so when large numbers of cameras are deployed across multiple sites, and perhaps multiple users within the framework of a centrally managed system. Examples include a mass transit system, large university campus, mega malls, airports, gaming resorts… and more. Video Management Systems (VMS) have evolved from simply facilitating camera and recording management to a more sophisticated role Aside from the challenges presented with multiple camera feeds, recorders and control locations, and assuming that all system components are operating as they should; investigators need the right tools to find the footage they need. Today’s advanced Video Management Systems (VMS) have evolved from simply facilitating camera and recording management to a more sophisticated role within a larger video surveillance and security system ecosystem.   Coordinated Response Efforts  From monitoring and tracking a live situation within a facility or across a municipality, to coordinating response efforts, through forensic investigations, new VMS capabilities provide a holistic solution that improves overall protection and contributes to business intelligence.  Among these capabilities, VMS forensic tools are meeting the needs of important investigation activity – both during and after an incident. For instance, while monitoring live video feeds, users can perform a basic investigation on individual cameras including playback, and digital and optical pan-tilt-zoom (for PTZ cameras), without the need to switch to a dedicated investigation mode. New VMS capabilities provide a holistic solution during the investigation process Advanced VMS solutions, such as OnSSI’s Ocularis, provide investigators with a multitude of options for accessing and enhancing video data to document incidents. Some of the most notable toolsets available include: Switching Between Live And Browse Modes As opposed to the Live Monitoring view, which displays multiple cameras asynchronously (i.e. different panes can show playback, paused and/or live cameras simultaneously), the Browse mode displays all cameras synchronously. This provides insight into events taking place at different locations at the time an incident occurred, allowing investigators to easily track an incident as it moves from camera to camera.   Scalable Kinetic Timeline Any video recordings triggered due to motion detection can be automatically queued to speed up the investigation processThis provides a clear overview of recorded motion events over extended periods of time with the ability to scale the timeline to show shorter or longer time intervals. Color-coded segments in the timeline indicate whether video has been recorded at a certain time to the minute, and whether motion was detected during those periods.  Any video recordings triggered due to motion detection can be automatically queued to speed up the investigation process. Once investigators isolate recorded video of interest using any of these preferences, one or multiple cameras can then be easily viewed.  Synchronous Playback Synchronous playback displays all recorded video from all displayed cameras on the timeline into a Browse mode regardless of which video source is selected. This provides investigators with a comprehensive overview and fast access to all recorded video during the time intervals that an event occurred. One-Click Snapshot And Motion Detection  One-click snapshot allows investigators take JPEG image snapshots of any recorded video during the review process. These snapshots have multiple applications including identifying individuals of interest.    Motion detection eliminates the need to manually review volumes of recorded data Motion Detection expedites the event detection process by eliminating the need to manually review volumes of recorded video data. Motion can be detected within a defined zone, and the detection process can be configured to the exact parameters of the targeted behavior or movement. The desired time intervals to search for motion detection can be preset by operators to expedite searches. The percentage of changed pixels can also be set when searching by motion detection to match the nature of the targeted movement. For example, high value setting would be used to detect a vehicle entering a detection region down to the size of a single parking space, eliminating false detections of persons walking in the parking lot. Additionally, parameters can be set for pixel color and brightness to compensate for the amount of noise caused by ambient lighting, shadows, reflections and more.Motion Detection expedites the event detection process by eliminating the need to manually review volumes of recorded video data  Slicing Capabilities  Time Slicing enables users to easily and quickly access video of an incident by automatically generating equal-interval thumbnails of a specific camera view. Once the incident is evident in one of the thumbnails, investigators can create sets of thumbnails of increasingly smaller time intervals to determine the exact moment an incident began and/or ended. Motion Slicing is similar to a Time Slicer, but enables instant detection of motion events, adjusted for the duration of the event and level of motion.  Alert Generators  Alerts generated by the recording component in response to events such as motion detection or generic events received from external systems (e.g. access control, emergency phones, etc.) may also be used in Time Slicing.  Event Sequencing provides messages generated by the recording components indicating a sequence of events. Each sequence may include one or more instances of motion, or alerts received from external sources, making this method more suitable for accessing complex incidents. Combined with the inherent video management and control capabilities provided by best in breed VMS solutions, these powerful new embedded investigation tools allow users with large surveillance systems to fully leverage the power of their investment to easily and comprehensively investigate events.

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

When a child goes missing in a large, crowded mall, we have a panicking mom asking for help from the staff, at least a dozen cameras in the area, and assuming the child has gone missing for only 15 minutes, about 3 hours’ worth of video to look through to find the child. Typical security staff response would be to monitor the video wall while reviewing the footage and making a verbal announcement throughout the mall so the staff can keep an eye out for her. There is no telling how long it will take, while every second feels like hours under pressure. As more time passes, the possible areas where the child can be will widen, it becomes more time-consuming to search manually, and the likelihood of finding the child decreases. What if we can avoid all of that and directly search for that particular girl in less than 1 second? Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streamsWith Artificial intelligence, we can. Artificial neural networks are improving every day and now enable us to search for a person across all selected camera streams in a fraction of a second, using only one photo of that person. The photo does not even have to be a full frontal, passport-type mugshot; it can be a selfie image of the person at a party, as long as the face is there, the AI can find her and match her face with the hundreds or thousands of faces in the locations of interest. The search result is obtained in nearly real time as she passes by a certain camera. Distinguishing Humans From Animals And Statues The AI system continuously analyzes video streams from the surveillance cameras in its network, distinguishes human faces from non-human objects such as statues and animals, and much like a human brain, stores information about those faces in its memory, a mental image of the facial features so to speak. When we, the system user, upload an image of the person of interest to the AI system, the AI detects the face(s) in that image along with their particular features, search its memory for similar faces, and shows us where and when the person has appeared. We are in control of selecting the time period (up to days) and place (cameras) to search, and we can adjust the similarity level, i.e., how much a face matches the uploaded photo, to expand or fine-tune the search result according to our need. Furthermore, because the camera names and time stamps are available, the system can be linked with maps to track and predict the path of the person of interest. AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight Protecting People’s Privacy With AI Face Search  All features of face recognition can be enabled by the system user, such as to notify staff members when a person of interest is approaching the store AI Face Search is not Face Recognition for two reasons: it protects people’s privacy, and it is lightweight. First, with AI Face Search, no names, ID, personal information, or lists of any type are required to be saved in the system. The uploaded image can be erased from the system after use, there is no face database, and all faces in the camera live view can be blurred out post-processing to guarantee GDPR compliance. Second, the lack of a required face database, a live view with frames drawn around the detected faces and constant face matching in the background also significantly reduces the amount of computing resource to process the video stream, hence the lightweight. Face Search Versus Face Recognition AI Face Search Face Recognition Quick search for a particular person in video footage Identify everyone in video footage Match detected face(s) in video stream to target face(s) in an uploaded image Match detected face(s) in video stream to a database Do not store faces and names in a database Must have a database with ID info Automatically protect privacy for GDPR compliance in public places May require additional paperwork to comply with privacy regulations Lightweight solution Complex solution for large-scale deployment Main use: locate persons of interest in a large area Main use: identify a person who passes through a checkpoint Of course, all features of face recognition can be enabled by the system user if necessary, such as to notify staff members when a person of interest is approaching the store, but the flexibility to not have such features and to use the search tool as a simple Google-like device particularly for people and images is the advantage of AI Face Search.Because Face Search is not based on face recognition, no faces and name identifications are stored Advantages Of AI Face Search Artificial Intelligence has advanced so far in the past few years that its facial understanding capability is equivalent to that of a human. The AI will recognise the person of interest whether he has glasses, wears a hat, is drinking water, or is at an angle away from the camera. In summary, the advantages of Face Search: High efficiency: a target person can be located within a few seconds, which enables fast response time. High performance: high accuracy in a large database and stable performance, much like Google search for text-based queries. Easy setup and usage: AI appliance with the built-in face search engine can be customised to integrate to any existing NVR/VMS/camera system or as a standalone unit depending on the customer’s needs. The simple-to-use interface requires minimal training and no special programming skills. High-cost saving: the time saving and ease of use translate to orders of magnitude less manual effort than traditionally required, which means money saving. Scalability: AI can scale much faster and at a wider scope than human effort. AI performance simply relies on computing resource, and each Face Search appliance typically comes with the optimal hardware for any system size depending on the customer need, which can go up to thousands of cameras. Privacy: AI Face Search is not face recognition. For face recognition, there are privacy laws that limits the usage. Because Face Search is not based on face recognition, no faces and name identifications are stored, so Face Search can be used in many public environments to identify faces against past and real-time video recordings. AI Face Search match detected face(s) in video stream to target face(s) in an uploaded image Common Use Cases Of AI Face Search In addition to the scenario of missing child in a shopping mall, other common use cases for the AI Face Search technology include: Retail management: Search, detect and locate VIP guests in hotels, shopping centres, resorts, etc. to promptly attend to their needs, track their behaviour pattern, and predict locations that they tend to visit. Crime suspect: Quickly search for and prove/disprove the presence of suspects (thief, robber, terrorist, etc.) in an incident at certain locations and time. School campus protection: With the recent increase in number of mass shootings in school campuses, there is a need to identify, locate and stop a weapon carrier on campus as soon as possible before he can start shooting. Face Search will enable the authorities to locate the suspect and trace his movements within seconds using multiple camera feeds from different areas on campus. Only one clear image of the suspect’s face is sufficient. In the race of technology development in response to business needs and security concerns, AI Face Search is a simple, lightweight solution for airports, shopping centres, schools, resorts, etc. to increase our efficiency, minimise manual effort in searching for people when incidents occur on site, and actively prevent potential incidents from occurring. By Paul Sun, CEO of IronYun, and Mai Truong, Marketing Manager of IronYun