Embedded Computer Vision for Obstacle Detection and Recognition in Intelligent Assistance System for Visually Impaired Individual

A detection system for obstacles was developed using embedded computer vision techniques for mobile capability and protection for the blind. System implementation, performance monitoring, and model assessments were conducted to develop the system. The proposed system recognizes obstacles and is the most effective in the detection of vehicles. Despite the successful accomplishment, more research is needed to take advantage of new technologies and to fine-tune and perfect the system in terms of accuracy, robustness, usage, pertinence, and effectiveness.