Academy & Industry Research Collaboration Center (AIRCC)

Volume 10, Number 19, December 2020

An Intelligent based System for Blind People Monitoring in a Smart Home


Pamely Zantou1, Mikael A. Mousse2, Béthel C. A. R. K Atohoun3, 1Institut de Formation et de Recherche en Informatique Université d’Abomey-Calavi, Benin, 2Institut Universitaire de Technologie Université de Parakou, Benin, 3Ecole Supérieure de Gestion d’Informatique et des Sciences


Visually impaired people need help to travel safely. To make this possible, many travel aids have been designed. Among them, the cane which is considered as a symbol of visual deficiency in the whole world. In this work, we build an electronic white cane using sensors' technology. This intelligent cane detects obstacles within 2m on the ground or in height, and sends vocal instructions via a Bluetooth headset. We have also built a mobile application to track in real time the visually impaired and a WEB application to control the access to the mobile one. We use ultrasound, IR sensors and a raspberry pi to process data. We use Python as programming language for electronic devices. The mobile application is Android. Though, the WEB application is a REST API developed using Python and Java Script.


Electronic white cane, Sensors, human monitoring, smart home.