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@article{172051,
        author = {Vishal Nayakwadi and Manju Dalai},
        title = {AVOID CRIME SCENES USING AI BASED SECURITY SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2820-2831},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172051},
        abstract = {This review paper examines the application of AI-based security systems in preventing crime scenes by integrating advanced technologies such as machine learning, computer vision, and predictive analytics. It highlights how AI can enhance real-time surveillance, improve threat detection, and enable proactive crime prevention strategies. The paper discusses the key techniques used in AI-driven security systems, including facial recognition, object detection, and behavior analysis, which help in identifying potential criminal activities. Moreover, the review emphasizes the importance of predictive analytics, which utilizes historical crime data to forecast crime hotspots and trends, allowing law enforcement to deploy resources more effectively. AI systems can also reduce human error and increase the speed of decision-making, providing timely alerts for swift responses. Challenges such as privacy concerns, data security, and ethical implications are also addressed, with recommendations on how to mitigate these issues. The paper further explores the limitations of current AI technology, including false positives, biases, and the need for high-quality data. Finally, it discusses the future trends of AI in security systems, including the integration of advanced algorithms and the potential for AI to revolutionize law enforcement practices, ultimately contributing to safer communities.},
        keywords = {Machine learning, Computer vision, Real-time surveillance, AI technology},
        month = {January},
        }