T Ramya , Kuppireddy Krishna Reddy 3 1 (January - March) Identifyingmatching the same individuals has become a complex thing in strengthening security and it shows seamless living within smart cities This task involves detecting and matching a person across multiple camera views for surveillance and safety applications The capability and ability are able to accurately recognize individuals from diversified visual data sources The new pathways of computer vision accelerated the research progress with deep neural networks to process high quality surveillance data By analyzing the structural elements of a ReID framework one can differentiate between closedworld and openworld identification scenarios This work proceeds shows data preprocessing strategies for person reidentification and evaluates deep learning approaches using widely recognized benchmark datasets Finally it mainly focus on the vital key role on developing an effective deep learning and that leverages various multimodal feature extraction aimed at performance analysis identification and performance accuracy We proposed new technique evaluated to performance on human recognition capabilities Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026