Artificial Intelligence (AI) Facial Recognition & Detection
System detects and identify faces
A facial recognition system was developed with the aim to eliminate the manual process of collecting and tracking employee timesheets. The technology serves as a digital mechanism to detect and track employee arrival and departures throughout a work shift. We developed a comprehensive computer vision model capable of reliably detecting individuals through facial recognition techniques. This model assists in making more accurate and efficient decisions, even when adjusted across different employee populations.We combined face detector and face classification:
Detect & capture face data from video or image source
Map up to 68 facial features to create a facial signature or faceprint.
Compare against a database of known faces for automatic recognition.
Lightweight Deep Learning Model
Dense Network is used to improve perfomance
Facial reocgnition data is processed and identified with Facenet & InsightNet
MTCNN is used to detect and align faces
Large data is used to train MTCNN with high accuracy
MTCNN mobile application support is enabled