Real-Time Anti-Piracy Surveillance in Theatres Using Object Detection and Infrared Disruption

The unauthorized recording of movies in theaters continues to be a significant concern, resulting in substantial financial losses for the entertainment industry. This paper introduces a real-time anti-piracy system that utilizes deep learning techniques for intelligent surveillance in theaters. By utilizing a mobilenet ssd model, the system can detect real-time unauthorized recording devices like mobile phones and cameras, regardless of the lighting conditions. When a threat is identified, infrared emitters are activated to reduce the quality of ongoing recordings without interrupting the viewing experience of the audience. Simultaneously, a mobile alert system sends instant notifications to theater management via text message, facilitating prompt action and response. The system's compact size, cost-effectiveness, and seamless integration capabilities make it highly suitable for extensive implementation in movie theaters. Through rigorous testing, it has been proven that the experimental evaluations yield consistent results in identifying recording devices across various environments, guaranteeing effective piracy prevention measures. By combining real-time object detection, infrared interference, and a GSM alert system, a comprehensive anti-piracy framework is developed, bolstering theatre surveillance and strengthening copyright protection. Additionally, this approach encourages the responsible use of technology to protect intellectual property, ensuring the security of creative content and fostering a safer cinematic environment.