A surveillance and security alert system based on real-time motion detection to protect secret and vital places

In the modern world, surveillance systems are crucial to the security sector. Video surveillance systems have traditionally employed moving object detection extensively. In computer vision, surveillance systems have grown in popularity recently. In this study, we have developed a system to protect vital and secret places from thieves. It should also facilitate the work of areas that require monitoring systems because security concerns have exploded in the current environment. The system relies on human motion detection. The main objective of the research is to create a system that can be part of reducing and eliminating theft and evil and provide an easy system with a user-friendly interface at a low cost. Cameras have been used to detect human movement and monitor areas, allowing observers to monitor areas directly through the system. Whenever the system detects human movement through a camera, it directly notifies the observers of the presence of human movement in areas where there should be no human movement through sound alerts, LED alerts, and emails to the observer. It starts videotaping the area, as well as recording and storing the time, place, and photo of the movement to make it easier for observers to follow up. The system consists of two main parts: software and Arduino hardware. In the software part, the types of algorithms used were the two-frame difference and simple background modeling for movement detection with the assistance of AForge.NET and C# and Tiny YOLOv2 for human detection. In the Arduino hardware section, Arduino is used to create an LED alert. Evaluation and testing of the system show that it can be used indoors and outdoors and detect human movement in all four directions, such as the back, forward, right, and left. In low light, the system has the ability to determine human movement. The experiments tell us that the system's accuracy in determining human motion was 95%, and depending on this result shows that the system can preserve vital and secret locations and correctly surveil zones. Future work includes adding alerts, such as mobile calls to observers through the system, which will help control incidents as soon as possible. Adding a mobile application to the system, where observers will be able to monitor the areas via their mobile phones, may allow them to monitor the areas from anywhere. Also, it will be possible to detect fire and smoke in areas where surveillance cameras are installed. And it is possible to use other Yolo models for human detection and other motion detection methods in the surveillance and security alert systems.