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Visually impaired people passage prediction glasses based on RGB-D camera and stereophonic sound

A stereo and glasses technology, applied in glasses/goggles, non-optical accessories, optics, etc., can solve problems such as delay, burden on visually impaired people, and different wearing experience

Active Publication Date: 2017-04-26
长兴视氪科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Haptic vibration uses vibration belt or vibrating vest as hardware to prompt the orientation of obstacles. The vibration device can solve the problem of delay, but it brings a burden to the visually impaired. Different people have different wearing experience

Method used

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  • Visually impaired people passage prediction glasses based on RGB-D camera and stereophonic sound
  • Visually impaired people passage prediction glasses based on RGB-D camera and stereophonic sound
  • Visually impaired people passage prediction glasses based on RGB-D camera and stereophonic sound

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Embodiment Construction

[0051] Such as figure 2 Shown, a kind of based on RGB-D camera and stereophonic vision-impaired person's path prediction glasses, described glasses comprises glasses body, an infrared projector, two identical infrared cameras, a color camera, an attitude angle sensor, a USB Hub, a small processor, a bone conduction headphone module, two bone conduction vibration modules, and a battery module. An infrared projector, two identical infrared cameras, a color camera, an attitude angle sensor, a USB hub, a small processor, a bone conduction earphone module, two bone conduction vibration modules, and a battery module are all fixed On the glasses body; among them, two identical infrared cameras, the optical axes of one color camera are parallel to each other, and the two identical infrared cameras are respectively fixed directly above the two lenses, and the color camera and infrared projector are installed on two infrared Between the cameras; two bone conduction vibration modules a...

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Abstract

The invention discloses visually impaired people passage prediction glasses based on an RGB-D camera and stereophonic sound. An infrared projector can project invisible near-infrared static speckles, images are captured through two infrared cameras and an RGB color camera, a small processor processes the acquired images and calculates to obtain depth images, an attitude angle sensor acquires camera attitude angle information, the small processor uses the depth information and the attitude angle information to compute the height image and divides the height image into pieces, the divided depth information is transformed into a stereophonic sound and finally a bone conduction headphone transmits the stereophonic sound to visually impaired people for assistance. The visually impaired people passage prediction glasses can well meet the prediction requirements on visually impaired people passage.

Description

technical field [0001] The invention belongs to the technical fields of assistive technology for visually impaired persons, binocular vision technology, three-dimensional environment perception technology and stereo interaction technology. In particular, it relates to a path prediction glasses for the visually impaired based on an RGB-D camera and stereo sound. The invisible near-infrared static speckle is projected by an infrared projector, and images are collected by two infrared cameras and an RGB camera. The collected image is processed, and the depth image is obtained by calculation. Further use the depth information and attitude angle information to calculate and obtain the height image, and block the height image, convert the depth information obtained by the block into a stereo signal, and finally use the bone conduction earphone to pass it to the visually impaired for assistance. Background technique [0002] According to the World Health Organization, there are 28...

Claims

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Application Information

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IPC IPC(8): G02C11/00
CPCG02C11/10
Inventor 于红雷杨恺伦陈浩汪凯巍其他发明人请求不公开姓名
Owner 长兴视氪科技有限公司
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