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@article{204993,
        author = {Varna C V and Dr. Bhavya D N},
        title = {Efficient custom Model for the Robbery Detection using ML Tracking Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4853-4859},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204993},
        abstract = {Threat detection is one of the necessary fields required in several fields for the purpose of the safety of the public. Robbery detection and detecting the thieves from the traffic cameras and cctv cameras is the need of the hour. In this project we have developed such system with the help of the Robbery video datasets by developing the custom model. This model runs on the testing videos by performing object detection, classification and tracking of the object in the video to achieve the purpose of object Recognition and the action recognition of the Rober. This system is run on different video data sets like SCVD dataset which achieves the accuracy of 70-80 percent. The classification of the robber in to different classes of Robbing, Running and turning back and running is achieved with good accuracy.},
        keywords = {},
        month = {June},
        }