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Authenmetric--single camera video surveillance system
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Technical Background: |
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From the ever increasing number of security cameras, it is not difficult to conclude that video is becoming a regular means of security surveillance. However, the traditional video only shows the records of past events and used in playback mode. It can not act as an early warning system, and the surveillance method functions as nominal surveillance for which the images have to be watched by humans. With the rapid expansion of video surveillance network, the demands for intelligent surveillance terminals increase everyday. Therefore, the people-watching surveillance system alone have failed to meet the rapid growth of the practical demand. The video surveillance has an urgent need of making it more intelligent to improve its efficiency and reduce the cost. As a result, intelligent video surveillance technology develops rapidly, mainly driven by a large demand in the market.
With the help of increasingly powerful computer driven data-processing capacity, intelligent video surveillance technology can identify and analyze the enormous amount of video data at high speed, based on a predetermined set of rules, automatically filtering of non-critical information, hereby providing security with all necessary information. Intelligent video surveillance can automatically identify objects and their changes. When an abnormal situation occurs, it will issue early warning signals in time and offer valuable reference information to effectively help the security people to deal with the situation.
Different from the traditional video surveillance system, intelligent video surveillance technology has been armed with the comparable ability to think and judge as the human brain. It greatly improves the efficiency of surveillance and reduces cost. Intelligent video surveillance technology brings the traditional video surveillance system into a brand new Intelligence Era.
Effective video surveillance is required even under extremely complicated environments, such as bad weather, low visibility, and low luminance. Intelligent video surveillance can not only adapt variously to complex environments, but also identify and analyze unusual events. It also tries to reduce false alarm warnings and detection failures as much as possible. All of the above factors have brought great challenges to the development of intelligent video surveillance.
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Systematical outline: |
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AuthenMetric’s Intelligent video surveillance system is based on the most advanced intelligent video surveillance technology, and can perform multi-camera monitoring of large-scale scenes simultaneously, automatically, ?and accurately, to complete a variety of monitoring functions: detecting moving target, tracking (can achieve real-time fast-tracking), classification recognition (such as single person, group of people, bicycles, cars, vans, trucks, etc.), behavioral analysis, and abnormal alarming functions. |
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intelligent function: |
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- target detection and tracking
Detects moving objects in video sequences, tracks and records its trajectory information.
- intruding into restricted areas
Provides surveillance for sensitive or secure areas. Users can specify a monitoring region: being triangle, rectangle, arbitrary rectangles, polygons, etc. Once a moving target entered the region, it can provide real-time the relevant information feedback to the user.
- Analysis of flow rate and traffic congestion
Provides statistics on population density, and gives quantitative levels of the density. The existing system can set 1o levels of its rating. When the population density in a specific area reaches a certain mass level, it automatically provides warning information.
- Analysis of traffic flow and congestion
Statistics for vehicles given by quantitative levels. It carries out a warning when the density reaches a certain grade or number or vehicles per area.
- Sudden acceleration of pedestrians
Detects sudden move changements such as acceleration and running.
- Moving target identification
Recognition of six types of moving targets: single person, groups of people, cars, trucks, vans, and bicycles
- Lost and left objects detection
Detection of left objects such as "packet lost” and other lost items
Detect vehicles in the same traffic lane.
Detect vehicle’s sudden move from one traffic lane to another.
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Product description: |
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The system consists of three parts: surveillance cameras, intelligent video servers and database servers (Distributed Database).
1. Monitoring cameras
Surveillance cameras are used for collecting videos to monitor specific areas, and are connected with the intelligent video server.
2. Intelligent video server
Functioning as back-end in a remote monitoring location, each video server can connect with up to four surveillance cameras. It analyzes and processes the captured video frames connected to the surveillance cameras to execute intelligence surveillance.
3. Database server
The database server is placed at the surveillance Centre and stores the monitored information including abnormal registrations and issue warning signals in time, while displaying the abnormal video or picture on the monitor screen of the control center
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System structure: |
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Typical application: |
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The system can be widely used in various video surveillance situations, such as stadiums and their surroundings, subway, airports, hotels, railway stations, border control and customs, banks, government offices, shopping malls, commercial buildings and other public places. Typical applications:
- intelligent video surveillance in Olympic Games security
- intelligent video surveillance in Security
- intelligent video surveillance for traffic management
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