Web Application for Intelligent Night Surveillance

Abstract

The Intelligent Night Surveillance System is an all-in-one solution for night monitoring designed with the latest technologies to supplement surveillance capabilities in low-light conditions. It seamlessly integrates advanced techniques of motion detection and object detection and classification, enabled with real-time monitoring and alerting features. By means of the machine learning models and open-source technologies, the fine identification and classification of different objects, including humans, animals, and vehicles, are allowed within the surveillance feed. The user-friendly web interface allows remote access, quick instant alerts, and efficient viewing of live surveillance feeds on multiple devices. This makes sure that Ubuntu Server is installed to help in running these backend tasks smoothly and is integrated with the Raspberry Pi hardware so that it can cooperate with different types of surveillance cameras and video input formats. Examples include strong security mechanisms, such as secure communication protocols, for protecting sensitive information and retaining the surveillance footages. Moreover, the system is also designed for scalability; that is, it can be scaled to more cameras and, thus, more object classification. In general, the Intelligent Night Surveillance System provides an advanced and flexible solution for nighttime monitoring to meet the dynamic needs of surveillance scenarios with accurate and reliable performance.