The result of Center2M work was a system of smart video surveillance that identifies visitors in real time
Up to 98%* recognition accuracy
Starting at 300 employees daily
Yet another pitfall in biometric recognition are emotions. Everyone is calm and serious on ID photos, but we come to work in very different moods sometimes, with a frown on our faces or with an expression of subliminal bliss from meeting with colleagues. Emotions that are too vivid may interfere with clear face recognition; that is why CenterVision can measure the visitors' emotional state on a scale from 0 to 100%. Company employees are aware of this function; it has become a type of entertainment for them. It is fun starting a day knowing that you are 15% calmer than your colleague from the next department.
In action movies, villains deal with biometric cameras by turning their hat forward and raising the collar. This only shows that movies use the old systems. New systems, such as CenterVision, easily identify a person with any type of a "disguise": eyeglasses, a wig or a hat.
«beards and mustaches may become a more difficult obstacle, but here the ball passes to the Security Service: if they notice significant changes in the employee's appearance, they can simply add another "bearded" photo of the person to the database.
CENTERVISION IS CAPABLE OF MEASURING THE VISITORS' EMOTIONAL STATE
CENTERVISION EASILY IDENTIFIES A PERSON WITH ANY TYPE OF "DISGUISE": EYEGLASSES, A WIG OR A HAT
Of course, there are better ways to cheat biometric recognition cameras. For example, there are spoofing attacks, when illegal intruders try to enter the premises using a photo of a real employee. CenterVision blocks such attacks using the special anti-spoofing system.
An attempt to pass the monitoring area using someone else's photo (spoofing attack)
*If the conditions, such as correct installation of cameras and required lighting, are met, system errors are reduced to a bare minimum
Further plans to grow the system include:
Close integration with the client's database
Adding license plate recognition