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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Olaogun Jerry Oluwajomiloju
University of Ilorin

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Low-cost real-time campus assistive navigation device for the visually impaired: The University of Ilorin case study Mahmud Hafeez Owolabi; Idajili John Ojochegbe; Ayinla Shehu Lukman; Jimoh-Mahmud Aishat Oladayo; Yusuf Abdulrahman Olalekan; Olaogun Jerry Oluwajomiloju
Indonesian Journal of Electrical Engineering and Computer Science Vol 43, No 2: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v43.i2.pp555-567

Abstract

Navigating dynamic environments remains a significant challenge for visually impaired individuals due to limited spatial awareness, which restricts their mobility, independence, and safety. Traditional aids such as white canes and guide dogs provide physical support but lack contextual feedback. While recent advances in artificial intelligence (AI) and computer vision (CV) have enabled real-time sensing, many assistive systems remain costly, complex, and dependent on continuous network connectivity. This study introduces a low‑cost, portable campus assistive navigation (CAN) device that delivers real‑time perception and offline guidance. The system employs a custom dataset, an optimized YOLOv11 model, and a Pi Camera for continuous object detection, supported by an HC‑SR04 ultrasonic sensor for obstacle avoidance and auditory alerts. Training and validation confirmed robust convergence, with precision ~0.95, recall near 1.0, and mAP@0.5 exceeding 0.9, while mAP@0.5:0.95 remained above 0.8, demonstrating reliable detection and generalization under strict thresholds. Field tests further reported confidence scores of 0.74–0.84, 98% accuracy in distance measurement, and GPS localization within ±1.5 m. Real‑time auditory and haptic feedback via Bluetooth headphones enhanced mobility and safety. The CAN device offers a scalable, affordable solution for autonomous navigation in campus environments.
Co-Authors Ayinla Shehu Lukman Idajili John Ojochegbe Jimoh-Mahmud Aishat Oladayo Mahmud Hafeez Owolabi Yusuf Abdulrahman Olalekan