Blind guiding method, device and equipment

Abstract

The embodiment of the invention relates to a blind guiding method, device and equipment. The method comprises the steps: a depth image is acquired; a passable area is determined based on the depth image, and candidate pass direction is determined according to the passable area; the candidate pass direction is prompted; the distance to a barrier in the candidate pass direction is measured accordingto a distance measuring sensor, if the distance is greater than a preset distance threshold, the candidate pass direction is passable direction; and the passable direction is prompted. The embodimentof the invention combined with the distance measuring sensor through depth image technology, the detection accuracy is high, and safe travel of visually impaired people is guided through directly indicating the pass direction to them.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of intelligent blind guidance, for example, to a blind guidance method, device and blind guidance equipment. Background technique [0002] In recent years, more and more attention has been paid to assisting the visually impaired to travel independently. With the development of electronics and computer technology, intelligent, efficient, and portable electronic blind-guiding auxiliary equipment has become the main research object. Electronic blind-guiding auxiliary equipment can help To improve the independent living ability of the blind and improve the quality of life. [0003] At present, commonly used electronic blind guide aids include electronic guide sticks, wearable blind guide devices, etc. Wearable blind guide devices are more and more popular with visually impaired people due to their convenience in use. Most wearable blind guide devices use cameras to perceive the environ...

AI Technical Summary

Problems solved by technology

[0004] In the process of researching the existing technology, the inventor found that there are at least the following problems in the related technology: the image processing algorithm based on monocular vision is difficult to determine the distance of obstacles; the method based on binocular vision can determine the obstacle by using feature point matching Object distance, but it is difficult to find reliable feature points under low texture, high light or low light conditions, resulting in large error in obstacle distance calculation

Errors in distance calculation lead to false alarms or missed alarms, affecting the safe travel of visually impaired people

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