The growing application of surveillance technology has raised a lot of concern, mainly due to the covert installation of cameras in the private sector. This study presents a real-time spy camera detection system which is intended to be low-cost, efficient and user-friendly. In this system, we have utilized a Raspberry Pi microcontroller, a USB camera, a flicker modulator and the image processing unit to detect hidden cameras through reflections and flicker. Based on the analysis of the literature, the current approach and its problems in terms of cost, dependability, and availability were identified. The proposed design demonstrates superior accuracy, portability, and cost-effectiveness compared to the previous existing design, as evidenced by the study. The testing of the system in different environments showed that the system offered high accuracy with minimal false positives, thus suitable in most cases. The study also seeks to address ethical questions regarding privacy issues and the implementation of engineering standards. The forthcoming work involves integrating machine learning and wireless modules, alongside additional features, to identify various forms of surveillance risks. This technology enhances the availability of affordable, effective privacy protection technologies for public and commercial use.