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Visionsense: Face Identity, Emotion, Age, and Gender Prediction Using Machine Learning

Year: 2025
Type: article
Abstract: VisionSense" is an AI-powered facial recognition system that performs real-time face identity, age, gender, and emotion prediction.It uses a Convolutional Neural Network (CNN) with pre-trained weights for feature extraction.It uses a pre-trained dlib model for face alignment.It uses a pre-trained Wide Residual Network model for age and gender predictions.It uses another Convolutional Neural Network (CNN) for emotion detection.For identity classification, the system offers a choice between K-Nearest Neighbours (KNN) and Support Vector Classification (SVC).VisionSense is designed to process images, videos, and live camera feeds, automatically saving unknown faces and updating its model through retraining whenever a new customer is detected.The system provides a web-based API for seamless image and video input, allowing users to interact with it effortlessly.
Source: IARJSET
Language: English
Open Access status: diamond
OpenAlex ID: W4409622541
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