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@article{188255,
        author = {Keerthika S ME and M. Ramesh and B. Manivannan},
        title = {Detecting Criminal Activities From CCTV by using Object Detection and machine Learning Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1250-1255},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188255},
        abstract = {Now, a day’s Crime in each us of a is growing day by using day. Generally, every day we pay attention to the information of distinctive crimes of distinctive classes like rape, assault, Kidnapping, Robbery, ATM Theft, Murders and so forth occurring in exceptional states, cities, countries. Almost all the newspapers, TV channels’, social media are crammed with the information of Criminal things to do going on all round the Whole World. In before instances there is no approach to observe Crime. After That the CCTV cameras had been used to become aware of Crimes. But watching these Videos manually by way of human beings for detecting crimes is a very time-Consuming method mainly in today’s world of Artificial Intelligence and Machine mastering. So this crime detection in CCTV surveillance turns into an vital place of lookup in the subject of laptop learning. So, there is a very pressing want of the shrewd machine which will become aware of the crimes from the actual time CCTV Feed and classify them and affords an alert gadget to the nearest police stations and ambulances etc. So, that device will assist in lowering the crime price in any country. This paper critiques all prior lookup in this area, inclusive of procedures for object awareness and discovering precedence frames, strategies and algorithms like Yolo used to discover crimes , a number datasets used and algorithms used to analyze crime statistics and educate the dataset .It covers the more than a few latest tendencies in researches in this discipline and inspecting the challenges confronted and a variety of lookup gaps and this paper also talk about how we can overcome these gaps in lookup so as to increase a higher Genius surveillance gadget in ml field.},
        keywords = {TV, Social networking (online), Surveillance, Urban areas, Machine learning, Object detection, Market research},
        month = {December},
        }