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- W4282024087 abstract "Abstract: Every individual in today's society has a need for a safe and reliable system. The most commonly used closed-circuit television (CCTV) or video surveillance systems are being implemented everywhere: hospitals, warehouses, parking lots, and buildings. However, this highly effective system has a cost disadvantage. Therefore, a cost-effective system is required. This project proposes to use a security camera with night vision using OpenCV. This is a cost-effective method. Images are captured and processed frame by frame. When a person is detected, the image is saved and an email is sent. The accuracy of this system is about 83%. It also uses the improved properties of the built-in camera. So the image is captured by the camera and sent to processing for face and person detection using OpenCV. Then, whether the detected person is known (visitor) or (stranger) () the detected face is compared against the database, and based on the output an email is generated and sent to the user. Security cameras can be controlled by custom AI. assistant. AI features include turning security cameras on and off with voice control. Accordingly, a low-cost security system can be provided. Keywords: OpenCV, Computer Vision, Tkinter, CCTV, Surveillance, Noise, Motion Artificial Intelligence" @default.
- W4282024087 created "2022-06-13" @default.
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- W4282024087 date "2022-05-31" @default.
- W4282024087 modified "2023-10-14" @default.
- W4282024087 title "Smart Surveillance" @default.
- W4282024087 doi "https://doi.org/10.22214/ijraset.2022.42695" @default.
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