Hybrid Motion and Face Recognition with Detection for Criminal Identifications

Authors : Anumol K. B.; Anagha Ashokan; Safna Sainudeen; Shijina B.

Volume/Issue : Volume 8 - 2023, Issue 8 - August

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/5hee6v9n

DOI : https://doi.org/10.5281/zenodo.8278760

Identification and detection of a criminal takes time and effort. Today’s criminals are becoming more intelligent, leaving no biological evidence or fingerprints at the scene of the crime, making motion detection software one of the most essential security features in recent years. It is employed to improve already-installed security tools, like the motion sensor lighting on indoor and outdoor security cameras. Through the use of CCTV cameras placed at various locations, an advanced facial identification system like this may be automated to find offenders. During emergencies and disasters, this method can also be utilized to find those who have gone missing. This method may be improved to recognize numerous faces at once and recognize faces in damaged or cropped photos.

Keywords : Python, machine learning, biological evidences, motion detection, identification of criminals, detection of criminals.


Paper Submission Last Date
31 - December - 2023

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