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Mask Detector. logo-1. Presented by:. 1. Rishi Raj(ECE 4A).
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Contents. Introduction. Objective. Innovation. Components Used.
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Introduction. Face mask detection refers to detect whether a person is wearing a mask or not. In fact, the problem is reverse engineering of face detection where the face is detected using different machine learning algorithms for the purpose of security, authentication and surveillance. Face detection is a key area in the field of Computer Vision and Pattern Recognition. A significant body of research has contributed sophisticated to algorithms for face detection in past..
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Objective. Main purpose of this project is to detect either any person is wearing a mask or not with the help of computer vision..
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Innovation.
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Block Diagram. https://929687.smushcdn.com/2407837/wp-content/uploads/2020/04/face_mask_detection_phases.png?size=500x450&lossy=1&strip=1&webp=1.
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Components Used. Python IDLE Tensor Flow/ Keras Liraries Raspberry PI 3+ Raspberry PI Camera Buzzer.
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Raspberry Pi with Camera. Face Mask Detection using Raspberry Pi and OpenCV.
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Result. Face Mask Detection using Raspberry Pi and OpenCV.
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Proposed Application. It can be used at the entrance gate of any orgsnization . It can be used for safety purpose at home. It can be used at different clinics and hospitals. It can be used in AI technologies of upcoming generation..
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