ON THE DETECTION
OF PEDESTRIANS AND CYCLIST
PERFORMANCE ON DETECTION
ACTIVITY IN EXTENDED VIDEO
How neural network works
The neural network is trained to identify unique facial features so that it can then find similar faces in the database. NtechLab’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.
The algorithm analyzes
an individual video frame
The neural network receives a matrix of RGB values of pixels as input.
The algorithm detects faces
The algorithm determines where faces are on the image.
NtechLab’s face detection algorithm is capable of detecting an unlimited number of faces in a frame, making it an ideal solution for security in crowded areas.
The speed of the detector does not depend on the number of faces in the frame.