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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 2, FEBRUARY 2025

PerceptAI- AI Infused Vision Directory

Mohammad Aqdus Farooqui, Zaid Rakhange, Adyan Shaikh, Alfiya Mulla

DOI: 10.17148/IJARCCE.2025.14259

Abstract: Computer vision and artificial intelligence are transforming industries by enabling automated image analysis, object detection, and real-time decision-making. However, the complexity of existing AI vision platforms often creates barriers for developers, requiring costly hardware and extensive technical expertise. Percept AI aims to bridge this gap by offering a web-based AI vision platform that allows users to run OpenCV projects directly in a browser. By eliminating installation challenges and leveraging cloud-based execution, Percept AI makes AI vision more accessible to researchers, students, and developers. It integrates features such as real-time image and video processing, automated code generation, federated learning, and a collaborative AI community. This paper explores Percept AI’s technical innovations, its role in democratizing AI vision development, and its potential to drive future advancements in computer vision.

Keywords: Computer Vision, Percept AI, OpenCV, Federated Learning, Collaborative AI, AI Vision Tools, AI-Driven Cybersecurity.

How to Cite:

[1] Mohammad Aqdus Farooqui, Zaid Rakhange, Adyan Shaikh, Alfiya Mulla, “PerceptAI- AI Infused Vision Directory,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14259