The ability to understand and interpret facial structures is essential to many image analysis requirements. A human face is a biometric element that can be used in an automated computer-based security system to identify or authenticate. In the example of low light face detect, the model provides the detection box around each face of human beings in illuminations variations such as indoor and outdoor lighting conditions and low lighting.

The low light or night vision conditions are challenging for facial detection systems, but this model exceeds the limitations of face detection in such conditions and helps to identify the person as well. Taking an example of a vehicle driver monitored by an IR vision camera can actually help detect the distractions to drowsiness. This can also help solve a few critical challenges in crime investigations.