• Dr, R. Jeyanthi
• V. Thenmolhi
• N. Swarna Prabha,
• T. Sneha

This paper presents an intelligent system that can identify and recognize faces using Raspberry pi which can be applied for home security to detect the intrusion of people and differentiate them as known and unknown by comparing the data set stored in the Raspberry pi. In case of an unrecognized or unknown person, the real-time video stream is processed, motion is detected and dual-axis pan-tilt servos track that person with the pi-camera. The already existing system is Network video recorders (NVRs) and digital video recorders (DVRs) . Although DVRs are more prevalent, NVRs are actually a better fit for IP camera integrations and compatibility. NVRs usually cost slightly more than DVRs, but the high resolution of IP cameras typically overweigh the added course, to overcome the drawbacks and reduce the cost and human error two simple algorithms are used for face detection and recognition in raspberry pi using the raspberry pi-camera. To train the images of the known people in raspberry pi Histogram of oriented gradients (HOG) algorithm is used and for the recognition of the faces HAAR algorithm is used. The intrusion of people is recognized and differentiated as known and unknown by comparing the data set and an E-mail is send to alert that the respective person or an unknown person is at the doorstep. This method is cheap, costeffective and requires a little hardware

Raspberry pi, Face recognition, Motion tracking, home surveillance, Security

"SMART HOME INTRUSION DETECTION AND TRACKING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.95-98, June-2023, Available :http://www.jetir.org/papers/JETIRFZ06016.pdf

"SMART HOME INTRUSION DETECTION AND TRACKING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. pp95-98, June-2023, Available at : http://www.jetir.org/papers/JETIRFZ06016.pdf