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As the world’s leading facial biometrics company, we focus on quality and always meet the requirements of our clients and partners, whether it is a small-scale face detection project with just a couple of cameras or a full-blown security system able to recognize and match an image against a multi-billion database. With the award-winning code based on building a feature vector out of the image from the camera, we can also help companies that need to enhance their security without replacing existing hardware.
Here you will find our fulfilled face recognition projects complete with a thorough implementation description and results.
250 cameras in Tyumen city surveillance have already been equipped with FindFace technology. The introduction of the joint innovative solution makes Tyumen one of the leading regions in the latest digital technologies implementation for public safety creating a favourable environment for citizens.
FindFace Security made it possible to promptly recognize and detain nearly 100 individuals listed in databases containing some 50,000 offender photographs.
A one-of-a-kind video analytics solution was created in conjunction with the Department of Information Technologies to integrate with Moscow’s video surveillance system.
By implementing FindFace, Polygon created an effective tool for financial institutions that significantly increases security and the convenience of remote services provision.
How to reduce fitness club costs with FindFace
The Stop Shoplifter solution helps large retail chains cut losses to their annual gross revenue by 2−3%. Customers achieve a return on their investment in about two months.
FindFace Security System has proven to be effective at cutting shoplifting losses
The introduction of NtechLab’s solution allowed 7Seconds to create an efficient risk-prevention tool for partners and customers that provide POS loan services.
To retrieve all photos featuring the customer, he/she needs to merely stand in front of the terminal and press a button.
NtechLab’s FindFace Enterprise Server SDK has been used to implement facial search.
