• Subroto Thakur
• Krishna Zanwar
• Ahtesham Khan

Firstly child is detected, face and body is detected. Then elder human is detected by hands and legs motion. Then it is checked if more than 1 elder person is present in the monitored area. Next step is then distance is detection between child and the elder. If distance found to close to particular child face is then detected for checking any abnormality. Then by utilizing the attachment of Email to alert parents or authority of the place. Lastly accomplish the prevention by presenting the monitoring people at the location.. Firstly child is detected, face and body is detected. Then elder human is detected by hands and legs motion. Then it is checked if more than 1 elder person is present in the monitored area. Next step is then distance is detection between child and the elder. If distance found to close to particular child face is then detected for checking any abnormality. Then by utilizing the attachment of Email to alert parents or authority of the place. Lastly accomplish the prevention by presenting the monitoring people at the location.

Machine Learning, AES, MD5

"Child abuse detection system using Machine l earning and Open CV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.482-485, August-2022, Available :http://www.jetir.org/papers/JETIRFP06085.pdf

"Child abuse detection system using Machine l earning and Open CV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp482-485, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06085.pdf