Facial Feature Recognition
This use case demonstrates how deep learning algorithms can be applied to video, to identify human face and facial features.
Many sectors (e.g. surveillance) need processing continuous stream of video to identify and track human faces to detect any suspicious activity
- Manual monitoring of video is expensive
- Manual monitoring of is prone to error due to fatigue
Using deep learning algorithms can automate video surveillance, or augment the monitoring system through alerts.
How to setup in platform