Current CCTV implementations for monitoring traffic provide video footage to review in the future to find some specific activity or events that have taken place in order to solve criminal cases or violation of traffic rules. But it is a very hectic job to find some specific event from huge amount of video data, that is available.
AI Vision comes to rescue here and provides very helpful and precise results, which is difficult to extract from the conventional method.
AI Vision adds some very powerful tools to the existing CCTV implementations. These features/tools of AI Vision are listed below:
It can alert authorities in effectively real time with information about the type of gunfire and a location that can be as accurate as 10 feet. Multiple sensors pick up the sound of a gunshot and their machine learning algorithm triangulates where the shot happened by comparing data such as when each sensor heard the sound, the noise level, and how the should echoed of building.
The Crowd Detection video analytic immediately detects crowd formations and triggers alarms when a specified number of people (capacity) or a specified percentage of people (occupancy) is reached in the selected area.
Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. Facial recognition can help verify personal identity.
Vehicle Number Plate Recognition
Vehicle Number Plate Recognition is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data.
Vehicle type recognition (VTR) is one key component of intelligent transportation systems (ITS). It can be utilized to realize the automatic fare collection (AFC) according to different vehicle types in some paying parking lots or be applied to the nonstop toll collection system to realize automatic toll calculation in highway toll stations. Additionally, it can also be used to find and locate the vehicles that break traffic regulations and are escaping from the accident scene in traffic video monitoring.
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