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A deep learning based outdoor walking assistive system for the visually impaired

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A deep learning based outdoor walking assistive system for the visually impaired

We provides a wearable device for the visually impaired to walk outdoors. By the deep learning network, the system can recognize and guide the visually impaired to walk on safe areas such as sidewalks and crosswalk. In addition, it can recognize the types of common obstacles and guide the visually impaired to avoid it in advance. Finally, we can convert the Google Maps route into easy-to-understand voice prompts instruction to guide the visually impaired to move in the right direction.

We proposed a wearable device that can recognize and guide the visually impaired to walk on the sidewalk or crosswalk. We proposed easily understanding instructions to guide the visually impaired to walk outdoors, avoid obstacles, and go to the destination. Combining sensor information and object detection network, we provided a robust obstacle avoidance method and a convenient store sign-approaching method to guide the visually impaired to approach the convenience store to solve the problem of insufficient GPS location.

This technology can help the visually impaired and is a powerful product for the assistive device market for the visually impaired. Except for the white cane, this product is one of the most reliable assistive devices for the visually impaired congenital or acquired.

線上展網址:
https://tievirtual.twtm.com.tw/iframe/dbf76aa7-3a42-4e26-b028-85595e55504b?group=23bfb1fa-dd5b-4836-81a1-4a1809b1bae5&lang=en

Contact

  • Name:WANG,WUN-JYUN

  • Phone:03-4227151分機34456

  • Address:(32001)桃園市中壢區中大路300號

Email

Other Information

  • Pavilion:Future Tech Semiconductor block

  • Affiliated Ministry:National Science and Technology Council

  • Application Field:Life Application

Location More info

20210604 未來科技館-AI創新研究中心成果專區-主題說明與技術資料填寫_王文俊

Website & Links

  • Technology maturity:Prototype

  • Exhibiting purpose:Product promotion、Display of scientific results

  • Trading preferences:Technical license/cooperation、Negotiate by self

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