Abstract
This research proposes an automated safety system using Python for motion detection. Motion detection involves identifying any movement in front of a camera. OpenCV provides various methods for object detection and counting, but their performance may be insufficient for certain applications. This research utilizes computer vision and machine learning techniques to enhance motion detection and automatically capture visual data. Computer vision and image processing research are rapidly advancing to improve human lives. In this research, the system acts like a home-based surveillance security system. When unexpected motion is detected, it takes a snapshot, notifies the user, and sends an alert to their smart devices.
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