Face recognition API only, no RTMIP

Facial Recognition (FR) detectors enables machines to identify and analyze human faces in images or video streams. Our FRS detector uses advanced algorithms to locate faces within a given frame, extract distinctive facial features, and compare them against a database of known individuals

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INDUSTRY INTRODUCTION

FRS NeuroService

Facial Recognition (FR) detectors enables machines to identify and analyze human faces in images or video streams. Our FRS detector uses advanced algorithms to locate faces within a given frame, extract distinctive facial features, and compare them against a database of known individuals. Our detectors start with face detection, followed by face alignment, which normalizes the detected face by adjusting for pose, size, and orientation, then comes feature extraction where the system analyzes key facial landmarks and characteristics and finally, the extracted features are compared against a database of known faces to determine the identity of the individual. Our facial recognition detectors are robust, able to handle variations in lighting, pose, and facial expressions with increasing accuracy, thereby finding applications in various fields such as security, law enforcement, user authentication, and personalized consumer experiences.

Why Starinco FRS is market leader:
  • Real-time processing capability for rapid face detection and recognition in live video streams
  • Robust performance across various lighting conditions, angles, and partial occlusions
  • High accuracy in distinguishing between individuals, with low false positive and false negative rates
  • Scalability to handle large databases of faces for comparison and identification
  • Integration of anti-spoofing measures to detect and prevent attempts to fool the system with photos or masks
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