Liveness Detection
A biometric security mechanism that determines whether the presented sample originates from a live, physically present human being. Face systems may use infrared data, 3D depth mapping, texture analysis, motion cues, or challenge-response checks to reject photo, video, and mask attacks.
Frequently Asked Questions about Liveness Detection
What is passive vs active liveness detection?
Passive liveness works silently analyzing depth, texture, and infrared data. Active liveness prompts users to blink or nod. Passive is faster and preferred for attendance.
Can liveness detection fail on identical twins?
Standard systems may confuse identical twins if only visible features are used. Advanced systems incorporating deeper biometric features improve twin differentiation.
Is liveness detection mandatory for biometric attendance?
Strongly recommended for any system where fraud prevention is a priority. Many enterprise and government procurement policies now require certified liveness detection.