Face Recognition

A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services, works by pinpointing and measuring facial features from a given image.

1. Feature

1. Compact Size

The module structure is small and simple, easy to be embedded into all kinds of self-service devices such as VTM, ATM, etc.

2. Accurate & Convenient

Support automatic capture of face images, face detection and comparison, automatic identification of target people and black / whitelist management.

3. Dual Mode Cameras

Support near infrared and visible light imaging. Dual mode liveness detection can be performed without cooperation to prevent attacks from photos, videos and non-living face images.

4. Advanced Algorithms

Equipped with the face recognition algorithm of the independent intellectual property rights of CAMEMAKE which realizes face detection and recognition. At the same time, the CMOS photosensitive chip is used to improve the pixels and ensure the face recognition rate and authentication rate.

5. High Definition and Performance

The captured image has high definition and camera has unique processing scheme for various color conditions. The camera has strong light processing ability and can take clear images under strong light, weak light and backlight; At the same time, the exposure time, white balance, contrast, brightness, saturation and other parameters can be automatically controlled, and the color restoration is high.

2. Application Scenario

Finance

The device is widely used for identity authentication in the financial industry, and embedded in bank integration and self-service equipment such as ATM CDM, self-service payment machine, self-service card issuing machine, self-service printer, etc.