Behaviour Analytics
Behaviour Analytics
Behavioural Analytics is the use of machine learning and advanced analytics of the human brains mechanism to define profiles of typical behaviour for users. The collected data may provide an insight into the actions of people and made it possible to identify irregularity in their behaviour that could prevent any unwanted activity by the attackers. The deep neural networks may alter the video cognition from perceiving simple objects to identifying the details of the object in the video. Furthermore, it is also used to determine opportunities in making certain decisions, including how to determine future trends or business activity.
Features of the System
Detecting the specific rising up movement of people in the area, such as getting up or getting out of bed.
Scans the movement of an individual climbing over a pre-established set height. For example, climbing and jumping.
Notes the movement of a person on duty in the detection area who is absent or staying motionless. For instance, if a client is absent or is asleep during duty.
Is able to identify the behavior of staying in a certain area while in overtime.
The system is able to ascertain whether the number of people is abnormal or not.
Is able to differentiate fast moving activities, such as jogging or sprinting.
Numbers are key as the system may point out the gathering behaviour of people in the streets.
Impressively is able to detect potential violence in the scene, such as physical confrontations.
Can point out if someone suddenly falls.
Analyzes the density of people in the area and outputs the cumulative number.
Social distance is also calculated.
Recognizes potentially dangerous situations by detecting specific human poses and mannerisms.
Is able to differentiate fast moving activities, such as jogging or sprinting.
Numbers are key as the system may point out the gathering behaviour of people in the streets.
Impressively is able to detect potential violence in the scene, such as physical confrontations.
Can point out if someone suddenly falls.
Analyzes the density of people in the area and outputs the cumulative number.
Social distance is also calculated.
Recognizes potentially dangerous situations by detecting specific human poses and mannerisms.