Efficient Object Detection and Voice-Assisted Navigation for the Visually Impaired: The Smart Hat Approach

People with visual impairments encounter many obstacles and challenges while navigating daily surroundings which typically affect their mobility, independence, and overall quality of life. In response to these challenges, this paper presents the development of the "Smart Hat," a wearable gadget that helps visually impaired people by offering real-time object detection and voice assistance. The module utilized in Smart Hat is ESP32-CAM used to record live video transmitted wirelessly to a mobile application. The TensorFlow framework is utilized by the device to provide precise and effective object recognition which is then transmitted through voice assistance via headphones. This solution provides an intuitive user interface along with auditory cues to help the blind person navigate their surroundings safely. With an accuracy rate of more than 91%, Smart Hat offers a lightweight, portable, and affordable substitute for traditional assistive technologies like guide dogs or costly electronic aids. The goal of Smart Hat technology is to empower individuals with visual impairment by giving them more independence and self-assurance in their surroundings.

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Publication Details

Journal
Sukkur IBA Journal of Computing and Mathematical Sciences
Published
2025-02-28
DOI
https://doi.org/10.30537/sjcms.v8i2.1535
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Efficient Object Detection and Voice-Assisted Navigation for the Visually Impaired: The Smart Hat Approach

Junaid Baloch, K. Maheshwari, Memoona Sami, Amirita Dewani et al.
Sukkur IBA Journal of Computing and Mathematical Sciences
Tactile and Sensory Interactions
article

Efficient Object Detection and Voice-Assisted Navigation for the Visually Impaired: The Smart Hat Approach

Junaid Baloch, K. Maheshwari, Memoona Sami, Amirita Dewani, Dua Agha
article en

Abstract

People with visual impairments encounter many obstacles and challenges while navigating daily surroundings which typically affect their mobility, independence, and overall quality of life. In response to these challenges, this paper presents the development of the "Smart Hat," a wearable gadget that helps visually impaired people by offering real-time object detection and voice assistance. The module utilized in Smart Hat is ESP32-CAM used to record live video transmitted wirelessly to a mobile application. The TensorFlow framework is utilized by the device to provide precise and effective object recognition which is then transmitted through voice assistance via headphones. This solution provides an intuitive user interface along with auditory cues to help the blind person navigate their surroundings safely. With an accuracy rate of more than 91%, Smart Hat offers a lightweight, portable, and affordable substitute for traditional assistive technologies like guide dogs or costly electronic aids. The goal of Smart Hat technology is to empower individuals with visual impairment by giving them more independence and self-assurance in their surroundings.

Sukkur IBA Journal of Computing and Mathematical SciencesVol. 8(2)
University of Sindh (PK), Mehran University of Engineering and Technology (PK)
Openalex Percentile: Top 96%
Tactile and Sensory Interactions
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Efficient Object Detection and Voice-Assisted Navigation for the Visually Impaired: The Smart Hat Approach — Junaid Baloch, K. Maheshwari, et al. · Sukkur IBA Journal of Computing and Mathematical Sciences (2025) | TGRS Research Map | TGRS