Bio Vision: AI-based Secure and Accurate Visual Expression Analysis System

• Author(s): Avnish Kumar; Keshav Kumar; Dilip Kumar; Dr. Ishrat Ali; Prof. (Dr.) Sanjay Pachauri
• Paper ID: 1711713
• Page: 351-351
• Published Date: 06-11-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 5 November-2025

Abstract

This paper presents Bio Vision, an advanced AI-based system for facial expression analysis using Convolutional Neural Networks (CNN). The proposed system aims to achieve secure, reliable, and real-time detection of human emotions through visual input. The model is trained using grayscale facial images and achieves high accuracy in identifying seven emotional states ? angry, disgust, fear, happy, neutral, sad, and surprise. This study demonstrates how deep learning can be utilized to enhance human-computer interaction (HCI) and emotion-aware systems.

Keywords

Artificial Intelligence, CNN, Facial Expression Recognition, Emotion Detection, Deep Learning.

Citations

IRE Journals:
Avnish Kumar, Keshav Kumar, Dilip Kumar, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Bio Vision: AI-based Secure and Accurate Visual Expression Analysis System" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 351-351 https://doi.org/10.64388/IREV9I5-1711713

IEEE:
Avnish Kumar, Keshav Kumar, Dilip Kumar, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri "Bio Vision: AI-based Secure and Accurate Visual Expression Analysis System" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1711713