Internet of Things

AdaBoost

Artificial intelligence

Object detection

Servomotor

Visually impaired

Pattern recognition (psychology)

Political science

Human–computer interaction

Operating system

Arduino

Wearable computer

Computer science

Process (computing)

Support vector machine

Raspberry pi

Embedded system

Obstacle

Object (grammar)

Computer vision

IEEE Access

Recent progress in innovation is making the life prosper, simpler and easier for common individual. The World Health Organization (WHO) statistics indicate that a large amount of people experience visual losses, because of which they encounter many difficulties in everyday jobs. Hence, our goal is to structure a modest, secure, wearable, and versatile framework for visually impaired to help them in their daily routines. For this, the plan is to make an effective system which will assist visually impaired people through obstacle detection and scenes classification. The proposed methodology utilizes Raspberry-Pi 4B, Camera, Ultrasonic Sensor and Arduino, mounted on the stick of the individual. We take pictures of the scene and afterwards pre-process these pictures with the help of Viola Jones and TensorFlow Object Detection algorithm. The said techniques are used to detect objects. We also used an ultrasonic sensor mounted on a servomotor to measure the distance between the blind person and obstacles. The presented research utilizes simple calculations for its execution, and detects the obstructions with a notably high efficiency. When contrasted with different frameworks, this framework is a minimal effort, convenient, and simple to wear.

Smart Assistive System for Visually Impaired People Obstruction Avoidance Through Object Detection and Classification