Building an Efficient System to Catch Miscreants using Various Face Detection Techniques


Authors : Jeet A. Kansagara; Yogesh Sharma

Volume/Issue : Volume 7 - 2022, Issue 8 - August

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3ArdHPL

DOI : https://doi.org/10.5281/zenodo.7027173

In the year 2020 India has experienced an average of 80 murders and 77 rape cases daily. Most of the people don't even pay keen attention to it as it goes to around 29,000 murders and 28,105 rape cases in a year. This count is just a drop in ocean if we consider the vast population of 1.3 billion people. But this is just the count of murders and rapes if we take into consideration the other criminal acts almost 60 to 70 % cases go unregistered. According to NCRB [National Crime Records Bureau] there was rise of 28% in registered cases. By every passing day the crime rate is increasing, so the number of miscreants. It's quite tough for the law enforcement agencies to catch those miscreants and put them behind the bars. As in today's world the technology is playing an important role. Each and every thing revolves around technology. This paper focuses on using this technology specially various face detection techniques to build an efficient system to help the law enforcement agencies to catch the miscreants.

Keywords : face detection, neural networks, statistical approach.

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Paper Submission Last Date
28 - February - 2023

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