Face Verification (1:1)
Validate if two images contain the same person based on their face. Examples include passport photo to webcam verification.
Face Identification (1:N)
Face search. Identify a probe face using a database of faces. Search tens of thousands of faces to find a match.
Face Detection, Key Points and Pose
Locate faces in an image, estimate their face keypoints (e.g. pupils, nose peak, mouth corners, etc.) and determine their head pose (e.g. frontal, left, right, etc.).
Presentation Attack Detection (PAD)
Detect and prevent presentation attacks (e.g. printed and video replay attack) fooling your biometric system.
Employee Management and Access Control
An AI face recognition and verification system with 99.8% accuracy that verifies, detects and identifies employee’s faces, allowing the user to check the clock-in and clock-out time. The face identification shows ID, name, position and more information of both employees and guests for safety reasons. All the information will be recorded and shown in Dashboard which is efficient for the person in charge to monitor and plan regarding employee performance. The software can be used in the Human Resources Department, Real Estate industry, and any other related organisation.
Comprehensive AI-driven solution for retail and store analytics by profiling customers entering and leaving a store. This includes counting customers, detecting customer paths in specific areas, resulting in understanding where customers spend most time in store, heatmap, and detecting products on shelves and showing compliance rate to standard planograms. All information will be shown in Dashboard to support sales & marketing campaigns, or any business making decisions effectively. It helps customers achieve business goals.