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@article{176045,
        author = {Deepti Sagade and Prof.A.D.Gujar},
        title = {Real-Time Object Detection for Security Surveillance Using a Hybrid Algorithm},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4864-4869},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176045},
        abstract = {The request for programmed activity acknowledgment frameworks has expanded due to the fast increment in the number of video observation cameras introduced in cities and towns. Programmed activity acknowledgment framework can be successfully utilized to create on-line caution in case of anomalous exercises to help human administrators and for offline assessment. In spite of the fact that the activity acknowledgment issue has gotten to be a hot subject inside computer vision, discovery of rough scenes gets significant consideration in reconnaissance framework which is legitimized by the require of giving individuals with more secure open spaces. This study examines the current state of the craftsmanship strategies and methods that are being connected for the assignment of robotized discovery of battle, weapon, fire. This overview emphasizes on inspiration and challenges of this exceptionally later inquire about region by displaying approaches to battle acknowledgment in the reconnaissance video. weapon acknowledgment in the observation video and fire acknowledgment in the observation video and appear overhaul result to local system. This paper points at being a driving drive for analysts who wish to approach the consider of diverse action acknowledgment and assemble bits of knowledge on the primary challenges to fathom in this rising field.},
        keywords = {Vision Systems, Fire Detection, Smart Cameras, Computer Vision, Object Detection},
        month = {April},
        }