Inkryptis Face Recognition is an AI-based technology that runs inside the camera or on-server for access control. Inkryptis' facial recognition software is a computer vision technology designed to provide rapid, accurate and reliable facial recognition on any digital photo or video.
Neutral : 0.08
Fear. : 0.00
Disgust. : 0.00
Surprise. : 0.00
Anger : 0.00
Sadness. : 0.00
Detect and describe the location of all faces in an image.
Number of Faces Detected: 5
Face Mask Detection
Determine whether each identifiable face is wearing a mask.
Predict the age and gender of all faces in an image.
AI-based Face Recognition
Inkryptis Face Recognition is an accurate, fast and secure way to identify people regardless of age, height, weight, expression or environment. Add our software to any camera or a CCTV video recorder or IP camera to capture and compare faces against the identity database in real-time. Our vision product is best used for retail security, schools, banks, offices and public places.
Our algorithms learn from the millions of faces in our database including driver licenses, passports, drivers' photos, celebrities videos, white pages photos, etc to match and verify a face with 99.97% accuracy.
The fast, real-time accuracy of Inkryptis AI Face Recognition, combined with software specifically developed for on-camera use (for example, to benefit the production of video content), enables faster and more efficient digital content authentication and verification without having to involve any third party or additional data exchange.
Our Facial Recognition Software is available in Developer Friendly API's which can be further integrated into Customer BI Application or on Premise Cloud.
The Inkryptis Face Recognition software is an accurate, AI-based technology that runs inside the camera or on-server for security and access control. Our algorithms learn from the millions of faces in our database including driver licenses, passports, drivers' photos, celebrities videos, white pages photos, etc to match and verify a face with 99.97% accuracy.
Anonymize images by blurring any identifiable faces in an image.
Count Number of people in a crowd.