*Intelligent Face Recognition

Owned by Tom Polman
Last updated: Sept 21, 2022
3 min read

Technical Article | TA-20201002-TP-05

VDG Sense | Video Content Analyses | FaceR

Note: FaceR functionality is not available in VDG Sense 2.5 or higher

Face recognition can isolate faces from video images and convert them into metadata. Metadata points are placed on eyebrows, eyes, nose and mouth. Each recognized face is compared with the pattern stored in the database and on the basis of the so-called automatically classified. black or white list closely associated with root access to the resources of the object whose face is analyzed. Based on the results of that analysis, the system activates the appropriate rule macros. Activating a dedicated profile allows you to verify the presence of people in the space object specifying the time period.

Face Recognition should only be used indoors in quiet areas where people are required to look into the camera. A practical application could be access control of server rooms whereas a limited number of people have access to that area.

Requirements of camera mounting spot

  • Use of artificial lighting to provide adequate illumination face (preventing shadows)

  • Avoid light that creates shadows

  • Camera position should be that people are encouraged to look straight into the camera

  • The face should be completely visible, nothing should be covered.

  • The distance between the eyes must be for a minimum of 60 pixels for optimal performance, higher is better.

  • Max camera horizontal and vertical viewing angle of 15 degrees

FaceR image examples

Score: 1.00

Properly illuminated

Score: 0.94

Glare from lighting, Test with people wearing glasses

Score: 0.65

Light source from above;
causes shadows.

Score: 0.32

Light source from above;
different pose

Score: 0.41

Properly illuminated,
but also lateral daylight.

Score: 0.03

Strong sunlight, over-exposure.
Worst scenario.

Limitations of the algorithm

  • Can only be used indoors

  • Can only be used in quiet areas

  • Sunglasses affect performance

  • Shadows in the face affect performance, for instance light from above or from the side

  • Low contrast/low lighting affect reliability

  • People are required to look straight into the camera