VISIONSENSE: FACE IDENTITY, EMOTION, AGE, AND GENDER PREDICTION USING MACHINE LEARNING

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.

Publication Details

Journal
IARJSET
Published
2025-04-20
DOI
https://doi.org/10.17148/iarjset.2025.12405
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

VISIONSENSE: FACE IDENTITY, EMOTION, AGE, AND GENDER PREDICTION USING MACHINE LEARNING

IARJSET
Face recognition and analysis
article

VISIONSENSE: FACE IDENTITY, EMOTION, AGE, AND GENDER PREDICTION USING MACHINE LEARNING

article en

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.

IARJSETVol. 12(4)
Gender equality
Openalex Percentile: Top 94%
Face recognition and analysis
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