Object Detection and Distance Calculation for Visually Impaired Persons

The study introduces a advanced assistive technology that enables precise distance calculation and real-time object identification for individuals with vision impairments. With the help of the MobileNetV3 trained model, the system can recognize up to 91 distinct items at once, providing a thorough awareness of the user's surroundings. In addition to identifying particular items, the system evaluates the distances between various things in the field of vision and between the user and those objects. It utilizes sophisticated computer vision algorithms to provide reliable object detection and depth estimates, therefore mitigating the difficulties encountered by those with visual impairments. By using crafted aural interface to provide distance information, the audio feedback function improves the user experience. Through the provision of accurate and timely spatial layout information, our technology seeks to enhance the ability of visually impaired people to navigate and to become independently mobile. In order to guarantee successful integration into the everyday life of the visually handicapped, the research also addresses the difficulties in designing such systems, such as the requirement for real-time processing, environmental adaptation, and user-friendly aural feedback.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-06-28
DOI
https://doi.org/10.22214/ijraset.2025.72792
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Object Detection and Distance Calculation for Visually Impaired Persons

P. Sudheer
International Journal for Research in Applied Science and Engineering Technology
Tactile and Sensory Interactions
article

Object Detection and Distance Calculation for Visually Impaired Persons

P. Sudheer
article en

Abstract

The study introduces a advanced assistive technology that enables precise distance calculation and real-time object identification for individuals with vision impairments. With the help of the MobileNetV3 trained model, the system can recognize up to 91 distinct items at once, providing a thorough awareness of the user's surroundings. In addition to identifying particular items, the system evaluates the distances between various things in the field of vision and between the user and those objects. It utilizes sophisticated computer vision algorithms to provide reliable object detection and depth estimates, therefore mitigating the difficulties encountered by those with visual impairments. By using crafted aural interface to provide distance information, the audio feedback function improves the user experience. Through the provision of accurate and timely spatial layout information, our technology seeks to enhance the ability of visually impaired people to navigate and to become independently mobile. In order to guarantee successful integration into the everyday life of the visually handicapped, the research also addresses the difficulties in designing such systems, such as the requirement for real-time processing, environmental adaptation, and user-friendly aural feedback.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(6)
Openalex Percentile: Top 86%
Tactile and Sensory Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Object Detection and Distance Calculation for Visually Impaired Persons — P. Sudheer · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS