Hack the North 2017
CANSOFCOM members are required to watch surveillance videos for extended period of time. Our program automates the process, freeing personnel of countless hours of manual observance.
Detect faces in realtime video stream through a webserver Recognize facial landmarks for each face on screen Count number of faces present in realtime and detect abnormality
Installing dependencies to be compatible with other systems Training machine to recognize and remember seen faces
Machine learning - train to identify, track individuals' occurrences and detect abnormality Detect criminals and terrorists Not only track faces, but also body movements
python, opencv, dlib and mongoDB