• It is a highly trusted deep-learning based algorithm applied to various international airports and government complexes.
• High processing rate thanks to excellent authentication performance and optimized library. It has an easily applicable API module that supports Windows / Linux / Embedded.

Features

• High-speed face recognition based on deep-learning
• Higher face recognition accuracy than the human eye.
• Walkthrough face recognition available after passport scanning
• More than 99% accuracy rate of identification
• High success rate for 2-person detection just with face recognition
• Minimalized deterioration of recognition accuracy under various environmental factors (e.g. low light intensity, backlight, etc.)
• Compression of high-capacity image data
• Flexible face-feature extraction
• Solid performance regardless of lighting, posture, and facial accessories.
• Libraries based on OpenCL(deep learning) or CUDA
• High-capacity parallel signal processing algorithm based on GPGPU for effective feature points extraction and classification
• Manycore architecture for resource management to minimize the power consumption in deep-learning operation
• Multiple sensors converged to improve recognition performance and to reduce error Capable of extracting features from the video footages acquired by the CCTV cameras, through re-identification technique