Abstract: Surveillance systems play a vital role in ensuring security in both public and private spaces. Traditional CCTV systems lack intelligence and require continuous human monitoring. To overcome these limitations, this paper proposes “Cypher Cam Master”, an intelligent surveillance tool that utilizes Artificial Intelligence (AI) and Machine Learning (ML) for real-time object and motion detection. The system uses computer vision techniques and machine learning algorithms to automatically detect suspicious activities or objects. Our solution is non-intrusive, real-time, and significantly reduces human dependency. The model is trained using a curated dataset and validated with live testing. Accuracy and performance metrics were evaluated using algorithms like Convolutional Neural Networks (CNN) and background subtraction methods.
Keywords: Surveillance, Object Detection, Motion Detection, AI, Machine Learning, CNN, OpenCV, Real-Time Monitoring.
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DOI:
10.17148/IJARCCE.2025.14704
