Facial Recognition & Deep Learning

Facial Recognition

• Detect/identify faces in an image or faces in a frame (using a face detection model)
• Predict face poses/landmarks (for the faces identified in step 1)
• Using data from step 2 and the actual image, calculate face encodings(numbers that describe the face)
• Compare the face encodings of known faces with those from test images to tell who is in the picture
• Do Smart Attendance for Staff and Students
• Identify any Stangers / Intruders inside campus
• Security Surveilance made very easy and accurate