基于AI机器视觉的盲道检测与信息采集系统OA

To assist visually impaired individuals in navigation,an AI-based machine vision system for collecting tactile paving informa-tion has been designed to enable intelligent data acquisition.The system identifies standard tactile paving through image edge detection and morphological constraints,enabling wheeled robots to autonomously traverse tactile paths.It employs the YOLOv8 object detection model paired with Huawei Ascend AI processors to detect anomalies in tactile paving,transmitting detection results to a host computer via Wi-Fi.Experiments were conducted on a simulated tactile paving testbed composed of 30 cm×30 cm tiles,including damaged tiles,missing sections,and movable and immovable obstacles at different locations.Multiple detection runs were conducted with damaged tactile paving,missing sections,and both movable and immovable obstacles placed at various positions.Testing confirmed the system̓s capability to collect tactile paving data within defined scenarios,identify anomaly types and locations,with an average detection accuracy of 95%.The average absolute error in anomaly location pinpointing was less than 9.12 cm relative to actual positions.The proposed system provides technical support for tactile paving inspection,maintenance management,and accessible mobility assistance for visually impaired individuals.