VAYU-vision assisted Yaan for utility

This paper presents VAYU (Vision Assisted Yaan for Utility), a novel autonomous home assistant and surveillance robot designed to integrate computer vision, artificial intelligence (AI), in a single mobile platform. VAYU combines low-cost hardware such as the ESP32-CAM with AI-enabled navigation, human/pet detection. Its multimodal agentic AI system enables VAYU to understand and react intelligently to its environment, providing security, convenience, and assistive functionality within a domestic setting. This system architecture and implementation offer a promising solution for next-generation home automation and monitoring system.

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Publication Details

Journal
IET conference proceedings.
Published
2026-02-01
DOI
https://doi.org/10.1049/icp.2025.4717
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

VAYU-vision assisted Yaan for utility

Chaitali Godse, Atharva A. Khetale, Sangharsh Syal
IET conference proceedings.
IoT-based Smart Home Systems
article

VAYU-vision assisted Yaan for utility

Chaitali Godse, Atharva A. Khetale, Sangharsh Syal
article en

Abstract

This paper presents VAYU (Vision Assisted Yaan for Utility), a novel autonomous home assistant and surveillance robot designed to integrate computer vision, artificial intelligence (AI), in a single mobile platform. VAYU combines low-cost hardware such as the ESP32-CAM with AI-enabled navigation, human/pet detection. Its multimodal agentic AI system enables VAYU to understand and react intelligently to its environment, providing security, convenience, and assistive functionality within a domestic setting. This system architecture and implementation offer a promising solution for next-generation home automation and monitoring system.

IET conference proceedings.Vol. 2025(43)
Institute of Engineering (NP)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
IoT-based Smart Home Systems
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VAYU-vision assisted Yaan for utility — Chaitali Godse, Atharva A. Khetale, et al. · IET conference proceedings. (2026) | TGRS Research Map | TGRS