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
• DOI: https://doi.org/10.64388/IREV9I5-1711713

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, vol. 9, no. 5, Nov. 2025, doi: https://doi.org/10.64388/IREV9I5-1711713

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

MLA:
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, vol. 9, no. 5, Nov. 2025. Crossref, https://doi.org/10.64388/IREV9I5-1711713

BibTeX

@article{1711713,
author = {Avnish Kumar, Keshav Kumar, Dilip Kumar, Dr. Ishrat Ali, Prof. (Dr.) Sanjay Pachauri},
title = {Bio Vision: AI-based Secure and Accurate Visual Expression Analysis System},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {5},
pages = {351-351},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711713.pdf},
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.},
month = {November}
}