• GURRAMKONDA KAVYA
• G.UMAMAHESWAR REDDY

In our daily life, we see a lot of crimes and theft taking place which is not known properly. Suspicious Activity is predicting the body part of a person from video. In this work the entail detecting suspicious human Activity from camera and sending warning to authorized personby using Yolo Algorithm. A system that utilizes the You Only Look Once (YOLO) algorithm to recognize and identify suspicious activities. The system aims to enhance security measures by automatically generating SMS alerts to mobile devices once suspicious activities are detected. The proposed system uses deep learning to analyze video that captured by cameras and immediately send the alert message with image to the authorized person. Using visual surveillance, human activities can be monitored in public areas such as bus stations, railway stations, airports, banks, shopping malls, school and colleges, parking lots, roads, etc. to prevent terrorism, accidents and illegal parking, vandalism, fighting, crime and other suspicious activities. It is very tough to watch public places continuously, it is required to monitor the human activities from camera and categorize that usual and unusual activities and can generate an alert and send the image notification to authorized person.

SMS Alerts, YOLO Object, Suspicious Activity Recognition, Computer Vision, Pre-Processing etc.

"SUSPICIOUS ACTIVITY RECOGNITION USING YOLO ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.j200-j205, June-2023, Available :http://www.jetir.org/papers/JETIR2306927.pdf

"SUSPICIOUS ACTIVITY RECOGNITION USING YOLO ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppj200-j205, June-2023, Available at : http://www.jetir.org/papers/JETIR2306927.pdf