THE III BEST PERFORMANCE
ON THE DETECTION
OF PEDESTRIANS AND CYCLIST
THE 2ND BEST ACCURACY
PERFORMANCE ON DETECTION
ACTIVITY IN EXTENDED VIDEO
The neural network is trained to identify unique facial features so that it can then find similar faces in the database. HooshLab’s face detection algorithm works with global facial databases, allowing for a split-second search.
When working with facial features it is impossible to restore the original image of the face, which ensures compliance with the rules of personal data protection.
Working with facial features requires up to 100 times less computing power compared to face image processing.
Detecting the face and silhouette in the image
Visual distortion correction
Retrieval of facial features
Verification or identification of a face