Facial recognition in Face Intellect is powered by deep neural networks (DNN). Algorithms of the new generation are free of recognition issues which were typical for the previous “non-DNN” generation.
Neural network algorithms are basically AI, artificial intelligence — powerful machine learning-based techniques, which emulate how the human brain operates. DNN is trained on a huge dataset with labeled faces to map a face to a numerical vector representation. Once the network has been trained, it can compare any faces, even ones it has never seen before.
Facial recognition with DNN offers top quality predictions regardless of the camera angle, lighting, hairstyle, facial expression, glasses, or other variations. Actually, modern algorithms work even better than human can do.
You can quickly find faces that match a picture, video image or photo-fit, and jump to event video.
Use Face Intellect as a people counter to get unique and total visitor numbers, find out their gender and age, and get reports for business analysis.
Access control, prevention of terror acts, and investigation.
Stop blacklisted people and high rollers at the door. Identify VIP clients and track their whereabouts. Search video footage to investigate and prevent fraud.
Upload a picture, snapshot or photo-fit and quickly find suspects and related video episodes.
On site: Pinpoint where and when the person of interest appeared, and what he or she did in those places.
In Safe City projects: Locate the places most frequented by a suspect and find out wh ere they were last seen.
A person applies an access card to the reader. Face Intellect captures their face on camera and runs it through the ACS database. Access is granted automatically (for a given degree of similarity), or the operator is prompted (if the degree of similarity is too low). A single operator can cover several checkpoints.