• Nikita Jibhau Nikam
• Dr.B.S.Shirole
• Payal Deepak Maind
• Sneha Tatyarao Padewar
• Kaveri Keshav Jadhav

In our modern era there is an abnormal increase in the crime rate and also the numbers of criminals are increasing, this leads towards a great concern about the security issues. Crime preventions and criminal identification are the primary issues before the police personnel, since property and lives protection are the basic concerns of the police but to combat the crime, the availability of police personnel is limited. This Real time criminal identification system based on face recognition works with a fully automated facial recognition system. Haar feature-based cascade classifier and OpenCV LBPH (Local Binary Pattern Histograms) Algorithms are used for Face detection and recognition. This system will be able to detect face and recognize face automatically in real time. An accurate location of the face is still a challenging task. Viola-Jones framework has been widely used by researchers in order to detect the location of faces and objects in a given image. we represent a methodology for face detection robustly in real time environment. Haar cascading is one of the algorithm for face detection. Face recognition is a biometric based technique that mathematically maps an individual's facial traits and retains the data as a face print. It generates a unique pattern for each face and compares it to other images that are included in the collection. If a match is identified for the input face, the details linked with the relevant image will be displayed.

biometrics; emerging technology; policing; artificial intelligence

"Ai Based Criminal Detection Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.e17-e27, March-2025, Available :http://www.jetir.org/papers/JETIR2503416.pdf

"Ai Based Criminal Detection Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppe17-e27, March-2025, Available at : http://www.jetir.org/papers/JETIR2503416.pdf