A STUDY ON A.I. BASED SECURITY SURVEILLANCE SYSTEM

Abstract: Reliable and discrete authentication techniques are essential for security surveillance systems that protect public and private spaces. The inherent limits of conventional identity methods, such passwords and ID cards, are driving demand for more resilient solutions. The study of human walking patterns via the lens of gait analysis has become a popular biometric technique in security. It is especially desirable for a variety of surveillance applications due to its nonintrusive design and capacity for continuous authentication. Even with obstacles such fluctuating walking circumstances and privacy issues, research is still being done to improve gait analysis's accuracy and dependability. Gait analysis is a particularly useful tool for improving safety and protection in a variety of settings as security demands rise. The history of security authentication is examined in this review study, which also emphasises the potential of gait analysis as a biometric security frontier.

Keywords: Segmentation, Erosion, Dilation, Silhouette, Feature Extraction, Gait Analysis