Face2 emo
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Face2Emo is an emoticon assistant that uses computer vision algorithms to analyze a user's facial expression from a selfie and select the appropriate emoji to depict their mood. It has a floating button on the screen that can take a photo without opening the camera, then uses pre-trained algorithms like Haar Cascade SVM to instantly classify expressions and pick an emoji for the chat box. As it receives more training data with updates, it improves its accuracy at analyzing more expressions and selecting emojis.
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To reap the benefits of our advanced face-detection technology, sign up at https://thefacedetective.com/signup now!
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The document discusses face recognition technology for use in an automatic attendance system. It first defines biometrics and face recognition, explaining that face recognition identifies individuals using facial features. It then covers how face recognition systems work by detecting nodal points on faces to create unique face prints. The document proposes using such a system to take student attendance in online classes during the pandemic, noting advantages like ease of use, increased security, and cost effectiveness. It provides examples of how the system would capture images, analyze features, and recognize enrolled students to record attendance automatically.
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Face2 emo
- 2. Emojis are becoming the social protocol
- 3. Wasting time looking through the list to choose the right one ? Don’t fret bro, just use Face2Emo
- 4. What is Face2Emo ?? You have a floating button on your screen. Why ? It snaps a pic without opening the camera. Analyzes your facial expression using Computer Vision algorithms Picks the right emoji depicting your mood Puts it in your chat box
- 5. Salient Features Movable Floating Trigger so that it doesn’t get in your way. Instant selfie without you needing to look at the preview. Haar Cascade SVM Algorithm for fast processing Pre-trained algorithm for instant expression classification. Always learning with every update.
- 6. Scope New version of OpenCv SDK4 for Android allows the face detection to be ore light weight and accurate. More training data, more accuracy. More expressions, more emojis, more fun. GIT Repository: https://github.com/Archana16/Face2Emo