Many crimes, from petty shoplifting in supermarkets to serious thefts when providing financial services remotely, can be easily prevented by facial recognition technology. The FindFace system makes for a quick response of security officers and an effective investigation of violations with the video archive search. The solution is protected from fraud thanks to the proprietary Face Liveness detection system. The algorithm cannot be fooled by someone else’s photo or video. Act proactively to minimize losses with FindFace.
Prevent fraud with FindFace
Face recognition as an additional identification method limits the risks of falsifying an RFID card and transferring it to a third party and prevents multiple people access with the same card.
Video archive analysis
The technology not only reports on the appearance of blacklisted people in real time but also allows you to analyze data in video archives, checking out a person’s previously visited places and duration of stay. Besides that, FindFace increases the video archive depth, as it stores only face biometric samples and not the entire images.
Restricted access areas
It is possible to prevent fraud by limiting access of your employees to the areas unrelated to their official responsibilities, for example, to a warehouse or a shopping room.
Face-based identity verification allows for preventing various types of fraud when delivering financial services, both at the point of sale and remotely.
In open display stores, it is not uncommon to have alcohol, delicacies, and personal hygiene items stolen. In clothing stores, shoplifters may put on to-be-stolen clothes. Face recognition is an effective tool to combat shoplifters and reduce yearly losses by 2−3% off the turnover.
Implement facial recognition to your access control system to accelerate the re-admission and ensure security. The algorithm cannot be fooled by using someone else’s photo or video image thanks to the face liveness detection technology.
Check a person’s face against fraudster databases to prevent fraud using forged documents in bank branches and ATMs. The algorithm itself is protected from fraud by the Face Liveness proprietary technology.
Automatically verify that a passport photo belongs to a visitor. Simplify the re-admission procedure. Track visitor movement. FindFace can’t be fooled thanks to the Face Liveness anti-spoofing system that distinguishes a live face in front of a camera from a fake face in a photo or video image.
FindFace accurately recognizes 99% of faces, even in poor quality images.
It takes less than 1 second to find a person in a 1.5 billion face database, as it has been proven in real projects.
The FindFace face recognition system is used in large scale projects, with hundreds of millions of faces in databases and thousands of cameras in use.
The alert system instantly notifies security officers about possibly hazardous situations so they have time to take action.
FindFace logs the face recognition event time and location, and stores a full frame and other metadata which can be further used for detailed analysis.
Fast and easy integration with existing infrastructure: server equipment, video cameras, and video management systems.
FindFace cannot be hacked thanks to the Face Liveness anti-spoofing system that distinguishes a live face in front of a camera from a fake face in a photo or video image.