Abstract:
The gait recognition system is a groundbreaking initiative that enhances biometric identification
and security. This aims to develop an advanced system that uses individuals’ unique walking
patterns to identify suspects and offenders accurately. Current methods, such as facial recognition
and fingerprint analysis, have limitations due to face-covering conditions and evasion
attempts. The study prioritises gait detection and employs modern technology like artificial
intelligence and motion tracking to overcome these issues. The system offers a potential alternative
or complement to existing identification methods by precisely recognising people based
on their distinctive walking styles. The study emphasises ethical considerations regarding privacy
and responsible data handling, balancing technological progress with individual rights.
It seeks to enhance security and reduce crime by addressing current system weaknesses and
leveraging the uniqueness of gait patterns, setting a new standard for biometric identification in
various situations and environments.
