Abstract
The crime rate in India is increasing rapidly. According to the India Today report, the crime rate was over 540 in 2013, which increased to 581 in 2014 and then went up to almost 582 in 2015. The crime rate then dropped to 379.3 in 2016. Further, it increased to 388.6 in 2017. According to data provided by National Crime Records Bureau (NCRB), in 2018 a total of 50.74 lakh crimes were registered. Our project helps in automated crime detection and recognition of dangerous situations and crimes using three modules. Modules implemented by us help in the detection of weapons, posture analysis, and audio classification of various weapons, which further improves the process of crime detection and generates more accurate results. Detecting crimes like theft, robbery, and assault can be easily done and will increase the speed of solving crimes. Our project comprises algorithms that will notify the human administrator/director when any weapon like a gun, knife, or firearm is visible in the CCTV. Along with weapon detection, we are also implementing posture analysis and audio classification to avoid false alarms. A notification will be generated to the security personnel about any suspicious activity or a person committing a crime using real-time analysis. This idea will lead to quick and effective response times. Also, it will reduce the number of potential victims. The audio classification will help in the analysis of a crime in situations where CCTV footage is a blur or with less resolution.
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Raisinghani, M., Sawra, R., Dhavalikar, O., Chhabria, P., Giri, N. (2022). Crime Analysis Using Artificial Intelligence. In: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869. Springer, Singapore. https://doi.org/10.1007/978-981-19-0019-8_3
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DOI: https://doi.org/10.1007/978-981-19-0019-8_3
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