In recent years CCTV software has meant Video Analytics: crunching the visual data streamed from network cameras and performing real-time event detection and post-event analysis. However, when it comes of video analytics, we should consider the following main distinction:
Standard Video Analytics
Video Motion Detection
The so-called “Video Motion Detection” (VMD), is a “standard”video analytic function based on the simple analysis of pixel variation. The cameras supporting VMD can detect changes that occur in their field of view, and generate alarms regardless to the object type. Provision-ISR standard video analytics functions:
Standard Analytics Functions
Camera Tampering
The camera detects when an object crosses a defined line (up to four lines can be monitored and the user can choose the crossing direction).
Line Crossing
Sterile Area
Advanced Video Analytics
Artificial Intelligence
The A.I. is based on a series of algorithms, or mathematical procedures, which work like a series of questions to compare the object seen with hundreds of thousands of stored reference images of objects in different angles, positions and movements. The A.I. asks itself if the observed object moves like the reference images, whether it is approximately the same size height relative to width, if it has the characteristic two arms and two legs, if it moves with similar speed, and if it is vertical instead of horizontal. Many other questions are possible, such as the degree to which the object is reflective, the degree to which it is steady or vibrating, and the smoothness with which it moves. Combining all of the values from the various questions, an overall ranking is derived which gives the A.I. the probability that the object is or is not a human, a vehicle or an object.
Advanced Analytics Functions
DDA Analytics
Based on smart objects recognition technology, DDA VIDEO ANALYTICS allows the system to distinguish between human beings 2-wheeled vehicles and 4-wheeled vehicles.
The system triggers alarms or sends push notifications only when the desired object is detected and by doing so reduces annoying false alarms caused by shadows, light changes, shaking trees, or animals.
DDA - Line Crossing
The user draws a line in the scene and sets both the crossing direction and crossing permissions.
Example:
If vehicles are not allowed to cross the line (but humans are) the system will generate an alarm only to the passage of a vehicle. No Alarm will be generated if a person crosses the line.
DDA – Sterile Area
The user draws an area in the scene and sets access permissions.
Example:
If vehicles are not allowed to access the area (but people are) the system will generate an alarm only when a vehicle enter the limited area.
In addition, the user can configure if entering/exiting the area will trigger an alarm.
DDA – Object Counting
The user positions the camera at a gate entrance/ exit to get a real-time entrance and exit monitoring.
Example:
If the observed vehicle counting area is set at the entrance of a parking the system will allow to
monitor when the parking reach the maximum number of vehicles allowed.
IP camera supporting DDA Analytics
Face Detection
Face Recognition
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