The main objective of this project is to create a surveillance monitoring system using deep learning algorithms, the person in the video is been identified and the alert sent to the user and the buzzer gets on.
The theme of this project is intelligent visual surveillance systems based on deep learning. In recent times, we used surveillance cameras for monitoring and recording real-time moments, identification is one of the most important and challenging branches of computer vision, which has been widely applied in peoples’ life, such as monitoring security.
Wi Fi is a local area network (LAN) run in a local environment or in a distributed setting. Wi-Fi network protocol is one of the leading communication technology used in the IoT world which supports low transmit power along with low cost.
ESP32 is the second generation of Express if corporation IoT solution and it includes Wi Fi and Bluetooth. ESP32 reduces high network traffic and computing load of the central face recognition server. This system is implemented based on arduino uno that processes video stream from a public place and detects the presence of a face. Only pictures with faces are sent to the main server.
Keywords: Deep learning, ESP-32 Cam module, Arduino uno.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
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