Video Motion Detectors(147)
System Overview Pro AI series contains Face Detection, Perimeter Protection and People Counting functions.Powered by deep-learning Artificial Intelligence algorithms, significantly improved accuracy. Meanwhile, the series features starlight technology. This series fully protected from dust and water, certified to IP67 and vandal resistant to IK10 standard. Functions Face DetectionFace Detection is a software application that automatically captures faces from within a digital image or a video frame from a video source. Dahua cameras use advanced deep learning algorithms and are trained by a large number of face data sources, enabling the camera to locate faces quickly and accurately from the video source and capture facial images. Perimeter ProtectionDahua’s Perimeter Protection functions significantly improved accuracy. Perimeter Protection reduces false alarms and decreases pixel count requirements for object detection. Perimeter Protection features custom tripwires based on object type for automation in limited access areas such as pedestrian or vehicle-only zones. This combination of advanced AI analytics and real-time alerts to a desktop or to a mobile client reduces system requirements and resources resulting in greater surveillance system efficiency. People CountingPeople Counting function uses advanced image processing technology to capture depth information from within images. The camera pairs this information with deep learning algorithms to analyze and detect human bodies and track target objects in real time. The camera provides statistics for separate individuals’ entrance and exit with up to 95% counting accuracy. ePoE technologyThe ePoE technology of Dahua, designed internally, adopts advanced 2D-PAM3 coding modulation from physical layer, and realizes full duplex transmission over 800 meters at the speed of 10Mbps, or 300 meters at the speed of 100Mbps via Cat 5 or coaxial cable media. Besides, it supports PoE and PoC power supply technology which has greatly simplified construction and wiring. Dahua ePoE technology offer a new way to accomplish long distance transmission between IP camera and network switch. It allows more flexible surveillance system design, improves reliability and saves construction and wiring cost. Protection(IP67, IK10, wide voltage)The camera allows for ±30% input voltage tolerance, suitable for the most unstable conditions for outdoor applications. Its 6KV lightning rating provides effective protection for both the camera and its structure against lightning. Subjected and certified to rigorous dust and immersion tests (IP67) and impact tests (IK10), the camera is the choice for installation in even the most unforgiving environments. Full-color StarlightThe camera adopts F1.0 large aperture lens and 1/1.8" high performance sensor. With higher amount of absorbed light and advanced image processing algorithm, the camera presents an impressive low light performance with an exceptional balance between noise reduction and the blur of moving object.
VIVOTEK FD9187-HT is indoor dome network camera equipped with a full HD sensor enabling resolution of 2560 x 1944 at 30 fps. And FD9187-HT also supports standard 1920x1080 resolution at 60 frames per second. Featuring VIVOTEK SNV and WDR Pro technology, FD9187-HT is capable of capturing high quality image whether in high contrast or low light environment. The FD9187-HT offers remote focus lens for different user scenario. IR illuminators are equipped with 50 meter effective range for better night visibility. For indoor applications, PIR sensor is built-in to detect unexpected events. Employing VIVOTEK's Smart Stream III technology and H.265 codec support, the FD9187-HT reduces bandwidth up to 90%* while keeping great image quality. Additionally, powered by VIVOTEK Smart Motion Detection technology, the FE9187-HT can learn how to differentiate between the motion of people and objects, which make it enable to reduce the false alarms and have higher accuracy.
The ConteraCMR® NVR Appliance is designed to offer powerful IP recording in an affordable, compact chassis. It is equipped with an on-board 8 or 16 channel PoE switch, with a recording capacity of up to 24 channels, allowing for Plug and Play connection with Arecont Vision and ONVIF cameras or RTSP video streams. With full integration to ConteraWS® (Web Services), the NVR Appliance offers centralized user management, single sign-on convenience, mobile apps and a web client that allows for easy remote connection to your recorders. Network setup is fast and easy using ConteraWS and eliminates the need for port forwarding or DDNS. The ConteraCMR NVR Appliance runs on a secure Linux® OS and comes preloaded with ConteraVMS® Server software as a turn-key solution.
The FUJINON SX800 camera system marks FUJIFILM's successful entry into the surveillance systems market. FUJIFILM presents the new long-range camera module FUJINON SX800 to the surveillance systems market. With a full HD camera and an optically stabilized, 40x zoom lens from FUJINON, two high-performance components are integrated into one system. This innovation is the result of years of experience in digital cameras and a dedication to the highest optical quality. Thanks to its powerful 1/1.8" image sensor, the long focal length range of 20 mm to 800 mm and state-of-the-art image processing technology, the FUJINON SX800 is ideally suited for aerial surveillance. In modern society, the security needs of citizens are constantly increasing. Surveillance cameras with long focal lengths are not only used to address sensitive issues such as border security but are increasingly being incorporated into public infrastructure such as airports, seaports and motorways. Long range surveillance systems must cope with special challenges. For optics with long focal lengths, the smallest vibrations are sufficient to compromise the image information. Heat haze or fog in the air also impair image quality. And, a focus drive that is too slow leads to safety-relevant information loss. However, with the development of the new FUJINON SX800, FUJIFILM has found a way to minimize the impact of these challenges. Instead of developing a surveillance camera and a separate matching lens, the concept of a fully integrated system consisting of camera and lens has been realized. In addition to the high-quality zoom optics, the FUJINON SX800 has a powerful combined optical and electronic image stabilization mechanism that provides angle correction of up to ±0.22 degrees. The integrated high-speed autofocus provides a sharply focused image in less than a second, while a fog filter and heat haze reduction technology helps prevent weather interference. The system provides consistently sharp images – even of objects several kilometers away. In addition, the integrated design of the new FUJINON SX800 reduces the high adjustment effort normally required for camera installation. As of Q3 2019, the FUJINON SX800 will be available as both a mobile stand-alone device and as a system that can be integrated into a pan-tilt head.
System OverviewExperience 4MP full HD color video and the simplicity of reusing existing coaxial infrastructure with HDCVI. The full-color starlight HDCVI camera presents a high quality color image with rich details even in total darkness conditions. It offers various fixed lens models with a multi-language OSD and HD/SD switchable output. It adopts two powerful warm white LED illuminators, covering an effective range up to 40 m (131.23 ft). The LEDs switch on automatically in darkness to capture detail-packed fullcolor images 24/7, ensuring anthentic identificaiton of objects. It is an ideal choice for applications such as schools, retail centers and parking lots. Functions Full-color StarlightThe camera adopts F1.2 large aperture lens and 1/2.7" high performance sensor. With higher amount of absorbed light and advanced image processing algorithm, the camera presents an impressive lowlight performance with an exceptional balance between noise reduction and the blur of moving object. Warm Supplemental lightsWith two warm supplemental LED lights, the camera is able to provide a colorful and vivid image even in total dark. By default, the camera is set to smart light mode, in which the camera can automatically adjust the exposure time and light sensitivity simultaneously to avoid overexposureing of the objects in the image center. Also, the sensitivity and intensity of the LED lights can be remotely controlled by OSD menu. Broadcast-quality Audio*Audio information is used as supplementary evidence in video surveillance applications. The HDCVI camera supports audio signal transmission over coaxial cable. In addition, it adopts unique audio processing and transmission technology that best restores source audio and eliminates noise, guaranteeing the quality and effectiveness of collected audio information. 4 Signals over 1 Coaxial CableHDCVI technology supports 4 signals to be transmitted over 1 coaxial cable simultaneously, i.e. video, audio*, data and power. Dual-way data transmission allows the HDCVI camera to interact with the HCVR, such as sending control signal or triggering alarm.*Audio input is available for some models of HDCVI cameras. Long Distance TransmissionHDCVI technology guarantees long-distance and real-time transmission without any loss. It supports up to 700 m for 4MP HD video via coaxial cable, and up to 300 m via UTP cable.**Actual results verified by real-scene testing in Dahua's test laboratory. SimplicityHDCVI technology inherits the born feature of simplicity from traditional analog surveillance system, making itself a best choice for investment protection. HDCVI system can seamlessly upgrade the traditional analog system without replacing existing coaxial cabling. The plug and play approach enables full HD video surveillance without the hassle of configuring a network. Multiple-formatsThe camera supports multiple video formats including HDCVI, CVBS and other two common HD analog formats in the market. The four formats can be switched over through OSD menu or by PFM820(UTC controller). This feature makes the camera to be compatible with most end users’ existing HD/SD DVRs. ProtectionThe camera's outstanding reliability is unsurpassed due to its rugged design. The camera is protected against water and dust with IP67 ranking, making it suitable for indoor or outdoor environments. With working temperature range of -40 °C to +60 °C (-40 °F to +140 °F), the camera is designed for extreme temperature environments. Supporting ±30% input voltage tolerance, this camera suits even the mostunstable power supply conditions. Its 4KV lightning rating provides protection against the camera and its structure from the effects of lightning.
Increase safety and reduce risk on board your transit vehicles with March Networks® RideSafe MT Series IP Recorders. These all-IP units deliver highly-reliable video surveillance recording and management in a compact, rugged design that is ideal for mid-sized vehicles – like student and patient shuttles and paratransit buses. Available in 4-channel and 6-channel models, the RideSafe MT Series solution enables operators to capture everything that’s happening on the bus, inside and out. Whether you have one or a thousand vehicles, this plug-and-play recorder can operate as a standalone unit programmable through embedded software, or be remotely managed and monitored daily using March Networks Command™ for Transit video management software. Video from the recorder can also be integrated with existing CAD and AVL systems and mobile routers. Key RideSafe MT Series features include: Front panel LEDs for easy recorder diagnostics, including operational, recording and video export status Embedded Linux OS, to ensure reliable and secure video recording Real-time health monitoring, alerting operators to camera, recorder and network issues before they affect performance Vehicle metadata integration from CAD/AVL systems and accelerometers for accurate re-enactments, driver monitoring and investigations Configurable recording policies based on schedule, motion, incident/event and other user-definable variables Powerful video management software, providing the advanced tools and features needed to manage entire fleets Automated video and data extraction over WiFi or 4G networks Extended thermal range (ETR) models available
The Evolution Stainless Steel cameras, part of Oncam’s Specialist Camera Range, are unique to the 360-degree video surveillance market as they are the only ones certified for tough environments, indoor and outdoor. The 05MP and 12MP versions have been specifically designed to meet the needs of customers operating in demanding environments such as Food Processing, Industrial, Maritime and Ports and Safe City applications. The cameras’ resilient Stainless Steel 316 housing is manufactured for enhanced corrosion resistance. The IP66, IP67, IP68, IP69K, and NEMA 4X and 6P ratings make the enclosure fit for harsh environments, while its IK10+ rating makes it resistant to impacts of 40 joules. The NSF certification and HCV EU mark make the camera range unique, guaranteeing compliance with standards for commercial food equipment in both North America as well as Europe. The only 360-degree fisheye camera in a stainless steel housing, Oncam’s new and improved camera range is available for surface and pendant mount installations. A matching stainless steel arm allows for wall, corner and pole mounting. Evolution 05 Stainless Steel: EVO-05-SS2 Evolution 12 Stainless Steel: EVO-12-SS2
The Evolution 180 Outdoor Camera is built upon Oncam’s expertise and heritage on 360-degree technology. It is specifically designed for applications that require a dewarped panoramic view of an outdoor scene, without blind spots, from a single sensor camera. The 12MP high-resolution sensor and the built-in 3D dewarped panoramic video provides industry leading Panoramic+ views. The true day/night functionality allows images to be produced in all lighting conditions, including additional IR lighting. The camera is IP66, IP67, IP68, IP69K and IK10+ rated, making it a robust design. Its versatile enclosure enables wall and pendant mounting, while the integrated adjustable mounting allows for an angling of up to 45°. When angled, Oncam’s Angle Compensation Technology (ACT) corrects the view, straightening vertical lines in the scene.
System OverviewWith upgraded H.265 encoding technology, Dahua Lite series network camera has efficient video encoding capacity, which saves bandwidth and storage space. This camera adopts the latest starlight technology and displays better color image in the condition of low illumination. It supports SD card storage, dust-proof function, waterproof function and vandal-proof function, complying to the standards of IP67 and IK10 (Supported by some select models). Functions Smart CodecWith advanced scene-adaptive rate control algorithm, Dahua smart encoding technology realizes the higher encoding efficiency than H.265 and H.264, provides high-quality video, and reduces the cost of storage and transmission. WDRWith advanced Wide Dynamic Range (WDR) technology, Dahua network camera provides clear details in the environment of strong brightness contrast. The bright and dark area can get clear video even in high brightness environment or with backlight shadow. StarlightDahua Starlight technology mainly applies to the environment of low illuminance, and it can provide clear colorful video. Even in the environment of ultra-low illuminance, the technology can guarantee the good image effect. IVSWith advanced video algorithm, Dahua IVS technology supports intelligent functions, such as tripwire and intrusion. Protection (IP67, IK10, wide voltage)IP67: The camera passes a series of strict test on dust and soak. It has dust-proof function, and the enclosure can works normal after soaking in 1 m deep water for 30 minutes.IK10: The enclosure can stand the punch more than 5 times from a 5 kg hammer falling from a height of 40 cm (Impact energy is 20J).Wide voltage: The camera allows ±30% input voltage tolerance (wide voltage range), and it is widely applied to outdoor environment with instable voltage.
Hanwha Techwin’s Wisenet PNM-9000VD multi-sensor/multi-directional camera provides quality images and modular lens configuration at an affordable price. This camera supports 30fps image capture and true 120 dB WDR without compromising frame rate for each of its two 5MP sensors. Each sensor has its own Wisenet 5 chip, providing a full suite of built-in video analytics including loitering, directional detection, fog detection, tampering, motion detection and objects entering or exiting an area.
VIVOTEK’s VAST 2 is an easy to use IP video management software (VMS). To meet the real-world needs of users, it comes with exciting advancements such as easy operation on single or multiple monitors, custom layout to accommodate both corridor and panorama orientations, rapid export of multi-channel video and the acquisition of VCA analytics & cybersecurity attack events from VIVOTEK cameras and substations (such as NVRs) in a hierarchical system structure. In the new version update of VIVOTEK’s video management software VAST 2, several advanced user-centered functionalities will be unveiled. The new features include the Deep-Learning Technology Smart Search II, Cybersecurity Management Solution, and License Plate Recognition Integration. With this update, users can enjoy the intuitive interface of VAST 2 while achieving a higher level of management efficiency. Three new user-oriented benefits will be highlighted in VAST 2： Smart Search II Building on Deep-Learning Video Content Analytics, the Smart Search II of VAST 2 allows users to quickly search for specific objects and people in the specified region. While enabling People Detection feature, only people-based activities will serve as event triggers. The security operator no longer needs to search through extensive footage for critical videos, thus improving both efficiency and effectiveness. Cybersecurity Management Solution Offering the complete end-to-end cybersecurity protection, the new VAST 2 is fully integrated with VIVOTEK cameras and NVRs and becomes a powerful cybersecurity central management site. The protection includes Instant Alert Notifications, allowing users to receive notifications automatically, and the Cyber Risk Dashboard to visually identify common types of cyber-attacks. In addition, users can filter attack logs according to a range of criteria, making it quicker to find abnormal events and take necessary actions to minimize risks. License Plate Recognition Integration Now, the new VAST 2 is fully integrated with VIVOTEK’s LPR/ Automatic Number-Plate Recognition (ANPR) camera, IB9387-LPR. Users can see the live images with selected information, such as confidence level or black list status, which can in turn become a trigger source in Alarm Management, making it easy to intelligently manage license plate data.
IDIS has extended its award-winning DirectIP® camera range with the introduction of a new flagship 2MP 36x Lightmaster IR PTZ outdoor-ready camera for fast and precise pan/tilt/zoom performance.The new DC-S6283HRX Lightmaster builds on the specification of IDIS’s successful PTZ models, with a high-grade lens combined with advanced sensor technology and finely tuned, client-side image processing, allowing the capture of vivid, true color video in extremely low light conditions. Excellent performance at long distances, with minimum motion blur, makes the DC-S6283HRX ideal for perimeters, shopping centers, stadia, outdoor spaces and public area applications.The camera benefits from IDIS’ signature true plug-and-play, one-click configuration and features 36x optical zoom, IR up to 350 metres, true wide dynamic range (WDR), digital image stabilization (DIS), a built-in heater and a vandal proof casing.“Designed for 24/7 accurate pan/tilt/zoom operation this new Lightmaster PTZ camera delivers unparalleled performance and exceptional detail when zooming. The camera is equipped with a variety of intelligent features and can move between pre-set positions and zoom in automatically in response to detected events. The result is maximum protection for a wide range of applications,” said James Min, Managing Director, IDIS Europe.The user experience is enhanced with IDIS Smart UX Controls, which is an award-winning, advanced and simple to use interface featuring intuitive slingshot and rubber-band style controls. Operators can smoothly and seamlessly follow moving objects in real-time with ground-breaking accuracy by panning images at different speeds and in different directions - literally without lifting a finger - by using a CTRL button and mouse combination.The camera uses H.264 and H.265 combined with IDIS Intelligent Codec to deliver significant bandwidth and storage savings and benefits from low Power over Ethernet (PoE) energy consumption.The risk of gaps in footage is eliminated with IDIS Smart Failover. In the event of network instability, the camera automatically records to an integral 256GB SD card and transfers data to the network video recorder (NVR) once connection is restored, which avoids the need for engineer call outs to retrieve footage.“We are listening and responding to customer demand with our new 2MP PTZ Lightmaster camera, providing an easy to deploy, low-storage and bandwidth solution for wide area coverage and perimeter detection,” said James Min, Managing Director of IDIS Europe. “It’s particularly suited to town center and city surveillance, stadia, outdoor retail parks, manufacturing and logistics sites and high-security perimeter applications where outstanding performance and ease-of-use combined with a low total cost of ownership are becoming essential.”
AI series products adopt the most advanced AI technologies, including deep learning algorithms that primarily target people and vehicles, which provides higher flexibility and accuracy for end-users. This enables the Dahua AI series to offer various advanced applications such as Face Recognition, Metadata, traffic data statistics, etc. The complete lineup of Dahua AI includes network (PTZ) cameras, network video recorders, servers, and more devices. Beyond seeing the world, the power of AI allows devices to perceive the environment and understand the world in a better way. System Overview Dahua PTZ AI network camera adopts advanced CNN deep learning algorithms to support face recognition with high accuracy. The Dual 4MP Starlight Smart Capture Camera consists of panoramic camera and PTZ camera. Panoramic camera captures panoramas, and then PTZ camera takes detailed snapshots of objects and keeps tracking objects after rule violations occur. This camera possess wide monitor range and PFA algorithm that can always present a clear, focused image while zooming. Functions Dual PTZ systemPanoramic camera and Detail camera of the dual PTZ system can be adjusted horizontally and vertically. Face RecognitionOnce facial features are extracted from captured faces, they are stored in a database where they can be easily searched and compared against other images. Once a successful match is found, the system outputs the result. The Dahua Face Recognition camera supports a built-in database that stores up to 10,000 facial images, helping the camera achieve realtime face capture and comparison. Starlight TechnologyFor challenging low-light applications, Dahua's Starlight Ultra-low Light Technology offers best-in-class light sensitivity, capturing color details in low light down to 0.001 lux. The camera uses a set of optical features to balance light throughout the scene, resulting in clear images in dark environments. PFA TechnologyPFA technology has innovatively introduced new methods of judgment to ensure the accuracy and predictability of the direction of subject distance adjustment. The result is a set of advanced focusing algorithms. PFA ensures clarity of the image throughout the process of zooming and shortens focus time. The realization of PFA technology substantially improves user experience and increases product value. MetadataMetadata is feature attribute information extracted from a target object which can be used for data retrieval. There are four kinds of metadata supported by Dahua PTZ AI camera: human face, human body, motor vehicle and non-motor vehicle metadata. Facial information includes gender, age, glasses, masks, beards, etc. Human body information includes hat, top, top color, bottom, bottom color, bag, etc. Motor vehicle information includes plate color, type, vehicle color, sunshield, ornament, calling, seatbelt, smoking, annual inspection sticker, etc. Non-motor vehicle information includes type, color, top type, top color, people number, etc. Smart trackingHuman, motor vehicle, and non-motor vehicle, or their combinations can be set as objects. Once the objects selected trigger detection rules (like tripwire and intrusion), the detail camera will track them automatically. Perimeter ProtectionAutomatically filtering out false alarms caused by animals, rustling leaves, bright lights, etc. Enables system to act secondary recognition for the targets. Improving alarm accuracy. InteroperabilityThe camera conforms to the ONVIF (Open Network Video Interface Forum) specifications, ensuring interoperability between network video products regardless of manufacturer.
VIVOTEK ‘s new CC9381-HV is a 180-degress panoramic network camera, featuring its compact design and high-quality image capability, making it suitable for a wide array of both indoor and outdoor environments, such as boutiques, convenience stores, banks, schools and homes. Along with offering amazing 180° HFOV coverage, CC9381-HV offers up to 20 fps at 5-Megapixel resolution (30 fps at 5MP with WDR Off). This Panoramic Network Camera also incorporates other value-added features.With IR built-in 180° IR illuminators up to 15 meters, no matter day or night, light or dark, the new CC9381-HV always provides complete video security. Further, due to the SNV technology, areas of low light visibility are no longer an issue either. Equipped with WDR Pro technology, the CC9381-HV enable the camera to maintain optimal image quality and unparalleled visibility in high contrast lighting environments, as well as combined both H.265 and VIVOTEK Smart Stream III, it can reduce bandwidth and storage consumption more than 90% compared to traditional H.264 without smart streaming. In addition to its versatile coverage and features, the CC9381-HV is safeguarded by Trend Micro IoT Security to provide users with higher levels of network protection.
Consider your security needs met. The experts in thermal and perimeter security have packed everything you need into one affordable, easy-to-install camera. The FLIR Saros DH-390 Dome Camera includes IR and visible illuminators, plus Lepton thermal sensors to allow you to see in any condition. And with high-resolution video, you’ll never miss a thing.
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Imagine a home surveillance camera monitoring an elderly parent and anticipating potential concerns while respecting their privacy. Imagine another camera predicting a home burglary based on suspicious behaviors, allowing time to notify the homeowner who can in turn notify the police before the event occurs—or an entire network of cameras working together to keep an eye on neighborhood safety. Artificial Intelligence vision chips A new gen of AI vision chips are pushing advanced capabilities such as behavior analysis and higher-level security There's a new generation of artificial intelligence (AI) vision chips that are pushing advanced capabilities such as behavior analysis and higher-level security to the edge (directly on devices) for a customizable user experience—one that rivals the abilities of the consumer electronics devices we use every day. Once considered nothing more than “the eyes” of a security system, home monitoring cameras of 2020 will leverage AI-vision processors for high-performance computer vision at low power consumption and affordable cost—at the edge—for greater privacy and ease of use as well as to enable behavior analysis for predictive and preemptive monitoring. Advanced home monitoring cameras With this shift, camera makers and home monitoring service providers alike will be able to develop new edge-based use cases for home monitoring and enable consumers to customize devices to meet their individual needs. The result will be increased user engagement with home monitoring devices—mirroring that of cellphones and smart watches and creating an overlap between the home monitoring and consumer electronics markets. A quick step back reminds us that accomplishing these goals would have been cost prohibitive just a couple of years ago. Face recognition, behavior analysis, intelligent analytics, and decision-making at this level were extremely expensive to perform in the cloud. Additionally, the lag time associated with sending data to faraway servers for decoding and then processing made it impossible to achieve real-time results. Cloud-based home security devices The constraints of cloud processing certainly have not held the industry back, however. Home monitoring, a market just seven years young, has become a ubiquitous category of home security and home monitoring devices. Consumers can choose to install a single camera or doorbell that sends alerts to their phone, a family of devices and a monthly manufacturer’s plan, or a high-end professional monitoring solution. While the majority of these devices do indeed rely on the cloud for processing, camera makers have been pushing for edge-based processing since around 2016. For them, the benefit has always been clear: the opportunity to perform intelligent analytics processing in real-time on the device. But until now, the balance between computer vision performance and power consumption was lacking and camera companies weren’t able to make the leap. So instead, they have focused on improving designs and the cloud-centric model has prevailed. Hybrid security systems Even with improvements, false alerts result in unnecessary notifications and video recording Even with improvements, false alerts (like tree branches swaying in the wind or cats walking past a front door) result in unnecessary notifications and video recording— cameras remain active which, in the case of battery powered cameras, means using up valuable battery life. Hybrid models do exist. Typically, they provide rudimentary motion detection on the camera itself and then send video to the cloud for decoding and analysis to suppress false alerts. Hybrids provide higher-level results for things like people and cars, but their approach comes at a cost for both the consumer and the manufacturer. Advanced cloud analytics Advanced cloud analytics are more expensive than newly possible edge-based alternatives, and consumers have to pay for subscriptions. In addition, because of processing delays and other issues, things like rain or lighting changes (or even bugs on the camera) can still trigger unnecessary alerts. And the more alerts a user receives, the more they tend to ignore them—there are simply too many. In fact, it is estimated that users only pay attention to 5% of their notifications. This means that when a package is stolen or a car is burglarized, users often miss the real-time notification—only to find out about the incident after the fact. All of this will soon change with AI-based behavior analysis, predictive security, and real-time meaningful alerts. Predictive monitoring while safeguarding user privacy These days, consumers are putting more emphasis on privacy and have legitimate concerns about being recorded while in their homes. Soon, with AI advancements at the chip level, families will be able to select user apps that provide monitoring without the need to stream video to a company server, or they’ll have access to apps that record activity but obscure faces. Devices will have the ability to only send alerts according to specific criteria. If, for example, an elderly parent being monitored seems particularly unsteady one day or seems especially inactive, an application could alert the responsible family member and suggest that they check in. By analyzing the elderly parent’s behavior, the application could also predict a potential fall and trigger an audio alert for the person and also the family. AI-based behavior analysis Ability to analyze massive amounts of data locally and identify trends is a key advantage of AI at the edge The ability to analyze massive amounts of data locally and identify trends or perform searches is a key advantage of AI at the edge, for both individuals and neighborhoods. For example, an individual might be curious as to what animal is wreaking havoc in their backyard every night. In this case, they could download a “small animal detector” app to their camera which would trigger an alert when a critter enters their yard. The animal could be scared off via an alarm and—armed with video proof—animal control would have useful data for setting a trap. Edge cameras A newly emerging category of “neighborhood watch” applications is already connecting neighbors for significantly improved monitoring and safety. As edge cameras become more commonplace, this category will become increasingly effective. The idea is that if, for example, one neighbor captures a package thief, and then the entire network of neighbors will receive a notification and a synopsis video showing the theft. Or if, say, there is a rash of car break-ins and one neighbor captures video of a red sedan casing their home around the time of a recent incident, an AI vision-based camera could be queried for helpful information: Residential monitoring and security The camera could be asked for a summary of the dates and times that it has recorded that particular red car. A case could be made if incident times match those of the vehicle’s recent appearances in the neighborhood. Even better, if that particular red car was to reappear and seems (by AI behavior analysis) to be suspicious, alerts could be sent proactively to networked residents and police could be notified immediately. Home monitoring in 2020 will bring positive change for users when it comes to monitoring and security, but it will also bring some fun. Consumers will, for example, be able to download apps that do things like monitor pet activity. They might query their device for a summary of their pet’s “unusual activity” and then use those clips to create cute, shareable videos. Who doesn’t love a video of a dog dragging a toilet paper roll around the house? AI at the Edge for home access control Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring Home access control via biometrics is one of many new edge-based use cases that will bring convenience to home monitoring, and it’s an application that is expected to take off soon. With smart biometrics, cameras will be able to recognize residents and then unlock their smart front door locks automatically if desired, eliminating the need for keys. And if, for example, an unauthorized person tries to trick the system by presenting a photograph of a registered family member’s face, the camera could use “3D liveness detection” to spot the fake and deny access. With these and other advances, professional monitoring service providers will have the opportunity to bring a new generation of access control panels to market. Leveraging computer vision and deep neural networks Ultimately, what camera makers strive for is customer engagement and customer loyalty. These new use cases—thanks to AI at the edge—will make home monitoring devices more useful and more engaging to consumers. Leveraging computer vision and deep neural networks, new cameras will be able to filter out and block false alerts, predict incidents, and send real-time notifications only when there is something that the consumer is truly interested in seeing. AI and computer vision at the edge will enable a new generation of cameras that provide not only a higher level of security but that will fundamentally change the way consumers rely on and interact with their home monitoring devices.
Video surveillance is commonly associated with security. But in most cases, it's used to record incidents and assist in investigations after the fact rather than prevent undesirable events. Artificial intelligence–powered video analytics is a highly promising trend that fundamentally changes the way things work. Extracting manageable data from a video stream can help recognize risky situations early on, minimizing damage and, ideally, completely avoid emergencies. At the same time, AI significantly expands the areas of application of video surveillance beyond security systems. AI significantly expands the areas of application of video surveillance beyond security systems However, the hype around this new, trendy technology prevents the potential user from choosing quality solutions in a wide variety of products. This often leads to over-expectation, followed by a complete let-down. Can AI-powered video analytics really be the key to a technological breakthrough in video surveillance? We'll take a look at what the technology can do, what it can't, and where it can go from here. Technological breakthrough or just another bubble? It's often said that the video management software (VMS) market is becoming increasingly commoditized and widely available. A lot of products with similar features (or, at least, similar promises from the manufacturer) make it hard to choose. As a result, vendor names and reputations are turning into one of their primary selling points. Manufacturers have two choices available: get wrapped up in a price war and rely on cutting expenses, or offer a product that's truly innovative and revolutionary. Manufacturers have two choices available: get wrapped up in a price war, or offer a product that's truly innovative and revolutionary VMS developers who choose the second route are gravitating towards creating products that use artificial intelligence based on neural networks and deep learning. Emerging two or three years ago, the AI video analytics market is experiencing a boom in growth. This new tech wave has stirred the still, stagnant backwaters of the VMS world and gave small, ambitious developers something to be optimistic about. It seems they now have a chance to emerge as market leaders in the next few years. However, the hype around this popular trend is raising reasonable concerns among experienced security industry professionals. These concerns come from clients looking for a solution to their problems, and from suppliers building a long-term development strategy. This largely resembles another tech bubble, like the one built up around pre-AI video analytics and burst when it became clear that the sensational promises around it were pure marketing hype (and rather unscrupulously so). However, there are a lot of factors that indicate that AI-powered video surveillance systems aren't another bubble. The three factors The first — and the main one — comes from systems already in place on customers' sites. They fulfill the same promises made during the previous bubble by hotheads in a rush to teach the computer to analyze events in real time using a classical algorithmic approach. The second is the fact that this new technology has seen investment from not only software and cloud startups, but also established VMS developers. Even giants like Intel, which has presented a full line of neural network accelerator hardware and a set of software tools that streamlines working with them, specifically in the field of computer vision. This new technology has seen investment from not only software and cloud startups, but also established VMS developers The third factor lies in artificial intelligence's abilities. AI plays chess, drives cars, and works wonders in many other fields. Why shouldn't it be applied to video monitoring and analysis? What AI can do Just what can artificial intelligence do in video surveillance systems at this stage of development? It can't quite analyze a sequence of events and understand the "logic" of what's happening in the cameras' field of view. At least not yet. But it's probable that AI will learn to do this in the next few years. But neural network analytics can already detect, classify, and track objects very well, providing high accuracy even in busy scenes. Artificial intelligence can be used in the real world to: detect smoke and flames for early fire warning at open areas (forest, open warehouse, parking lot, etc.); distinguish people/vehicles from animals and other moving objects, e.g. to protect the perimeter of a nature park from poachers; distinguish a person in a helmet and protective clothing from a person without them to prevent accidents at a dangerous production facility or construction site; count objects of a specific type, e.g. cars in a parking lot, people in the sales floor, wares moving on a conveyor belt, etc. in non-security-related solutions. Those are just a few examples. After training a neural network, it can tackle other, similar tasks, too. Generally, a neural network trained in specific conditions isn't replicable. In other words, it won't work as well under different conditions. On the other hand, developers have learned how to quickly train AI for the needs of a specific project. The most important requirement is having enough video footage. Somewhat apart from that is the use of neural networks in facial and automatic number-plate recognition. This is an example of reproducible neural networks (train once, deploy everywhere), which makes them more appealing commercially. If non-reproducible neural networks have only recently become economically feasible due to the rapid evolution of specialized hardware (aforementioned Intel's product, for example), then the use of AI in facial recognition and ANPR has been well established for a long time. The use of AI in facial recognition and ANPR has been well established for a long time Another kind of AI analytics that we'll explore is behavior analytics. This function, probably more than any other, is bringing video surveillance systems closer to understanding what's happening on camera. Its potential is vast. How Behavior Analytics Works From a technical point of view, behavior analytics combines artificial intelligence with a classic algorithmic approach. A neural network trained on a multitude of scenarios can determine the position of the bodies, heads, and limbs of humans in the camera's field of view. The algorithm outputs an array of data containing descriptions of their poses. Conditions can be set for data to detect a specific pose, such as raised hands, prostrated or crouching persons. Developers can use this to quickly create new detection tools to identify potentially dangerous behavior specified by a government or business client. There's no need for additional training of the neural network. How Behavior Analytics Can Be Deployed Someone crouched down next to an ATM could be a technician, CIT guard, or burglar. Bank security should be notified in any of the cases. A person in shooter position, together with a bank employee or cashier with their hands raised could indicate a robbery. The system can be configured to automatically send alerts with a surveillance snapshot to the police so they can assess the threat and take action if needed. It's vital that the police receive the alert, even if the employee is unable to activate the alarm. In many cases, attention should be directed to a prostrate individual. This could be somebody who needs immediate help, or it could be someone sleeping in an inappropriate public place, for example, a 24/7 ATM space. Behavioral analytics can also be used to ensure workplace safety. For example, tracking whether employees are holding the handrails when using the stairs at a manufacturing facility or a construction site. What Now? Behavior analytics can be deployed wherever your clients' imagination takes them. With this feature, practically any pose that indicates potentially dangerous behavior can be detected. Timely response to an alarm helps avoid material damages or, in other situations, casualties. Practically any pose that indicates potentially dangerous behavior can be detected An area of potential development for behavior analytics is the ability to analyze a sequence of poses by the same person or a combination of poses and relative positions of several individuals. That will be the next level of evolution in AI's use in video surveillance: moving from "detecting" to "understanding" behavior in real time. In its most basic form, this type of analytics can be deployed to detect deviations from the search procedure in correctional facilities when a person being inspected must assume a pre-defined sequence of poses. A more advanced form allows it to detect any kind of abnormal behavior, such as a brawl breaking out in a public space. Ideally, behavior analytics can predict dangerous situations based on nearly imperceptible cues gleaned from collected statistics and a Big Data analysis. At the moment, this sounds like pure fantasy, but what seemed like whimsy not too long ago is now a reality with AI. It's already beaten humans in chess and the game of Go (Weiqi). Will artificial intelligence be able to outplay humans at charades one day? It's entirely possible that we'll soon see for ourselves.
Rodrigue Zbinden, CEO at Morphean, discusses the business benefits from merging video surveillance and access control technologies as demand for ACaaS grows. The big question facing businesses today is how they will use the data that they possess to unlock new forms of value using emerging technologies such as the cloud, predictive analytics and artificial intelligence. Some data is better utilized than others: financial services were quick to recognize the competitive advantages in exploiting technology to improve customer service, detect fraud and improve risk assessment. In the world of physical security, however, we’re only just beginning to understand the potential of the data that our systems gather as a part of their core function. Benefits of ‘Integrated access control’ The first thing to look for is how multiple sources of data can be used to improve physical security functionsWhat many businesses have yet to realize is that many emerging technologies come into their own when used across multiple sources of data. In physical security, for example, we’re moving from discussions about access control and CCTV as siloed functions, to platforms that combine information for analysis from any source, and applying machine learning algorithms to deliver intelligent insights back to the business. ‘Integrated access control’ then looks not just to images or building management, but to images, building management, HR databases and calendar information, all at the same time. And some of the benefits are only now starting to become clear. The first thing to look for, of course, is how multiple sources of data can be used to improve physical security functions. For example, by combining traditional access control data, such as when a swipe card is used, with a video processing platform capable of facial recognition, a second factor of authentication is provided without the need to install separate biometric sensors. CCTV cameras are already deployed in most sensitive areas, so if a card doesn’t match the user based on HR records, staff can be quickly alerted. Making the tools cost-Effective In a similar vein, if an access card is used by an employee, who is supposed to be on holiday according to the HR record, then video data can be used to ensure the individual’s identity and that the card has not been stolen – all before a human operator becomes involved. This is driving growth in ‘access control as a service’ (ACaaS), and the end-to-end digitalization of a vital business functionThese capabilities are not new. What is, however, is the way in which cloud-based computing platforms for security analytics, which absorb information from IP-connected cameras, make the tools much more cost effective, accessible and easier to manage than traditional on-site server applications. In turn, this is driving growth in ‘access control as a service’ (ACaaS), and the end-to-end digitalization of a vital business function. With this system set up, only access control hardware systems are deployed on premise while the software and access control data are shifted to a remote location and provided as a service to users on a recurring monthly subscription. The benefits of such an arrangement are numerous but include avoiding large capital investments, greater flexibility to scale up and down, and shifting the onus of cybersecurity and firmware updates to the vendor. Simple installation and removal of endpoints What’s more, because modern video and access control systems transmit data via the IP network, installation and removal of endpoints are simple, requiring nothing more than PoE and Wi-Fi. Of all the advantages of the ‘as a service’ model, it’s the rich data acquired from ACaaS that makes it so valuable, and capable of delivering business benefits beyond physical security. Managers are constantly looking for better quality of information to inform decision making, and integrated access control systems know more about operations than you might think. Integrating lighting systems with video feeds and access control creates the ability to control the lightsRight now, many firms are experimenting with ways to find efficiencies and reduce costs. For example, lights that automatically turn off to save energy are common in offices today, but can be a distraction if employees have to constantly move around to trigger motion detectors. Integrating lighting systems with video feeds and access control creates the ability to control the lights depending on exactly who is in the room and where they are sitting. Tracking the movement of employees Camera data has been used in retail to track the movement of customers in stores, helping managers to optimize displays and position stocks. The same technology can be used to map out how employees move around a workspace, finding out where productivity gains can be made by moving furniture around or how many desks should be provisioned. Other potential uses of the same data could be to look for correlations between staff movement – say to a store room – and sales spikes, to better predict stock ordering. What makes ACaaS truly exciting is it is still a very new field, and we’re only just scratching the surface of the number of ways that it can be used to create new sources of value. As smart buildings and smart city technology evolves, more and more open systems will become available, offering more ways to combine, analyze and draw insights from data. Within a few years, it will become the rule, rather than the exception, and only grow in utility as it does.
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