Auxiliary obstacle perception method for visually impaired people based on improved YOLO model

A technology of obstacles and models, which is applied in the field of assisting obstacle perception for the visually impaired, and can solve problems such as ineffective assisting effects, staying in the stage of performance testing and small-batch trial production, and reduced practicality of blind-guiding functions.

Active Publication Date: 2021-06-04
杭州易享优智能科技有限公司
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Problems solved by technology

[0002] China is the country with the largest number of blind people in the world, about 12 million, accounting for 18% of the world's blind population. As a special group of social groups, they live in boundless Therefore, they often encounter various problems. Most of the guide products currently on the market are simple in structure and single in function (it can only simply prompt that there are obstacles ahead). Although some products are easy to use, the auxiliary effect is not obvious. , Moreover, blind friends will encounter many problems when using them, such as poor road conditions, uneven potholes, hanging obstacles in front, etc. Ordinary blind guide products cannot accurately detect
The obstacle detection function of the existing blind guide products is only limited to the detection of the distance of the obstacle, and cannot accurately locate the position of the obstacle, and can only detect a single obstacle, such as t

Method used

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  • Auxiliary obstacle perception method for visually impaired people based on improved YOLO model
  • Auxiliary obstacle perception method for visually impaired people based on improved YOLO model
  • Auxiliary obstacle perception method for visually impaired people based on improved YOLO model

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Embodiment Construction

[0053] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with the examples, which are only used to explain the present invention, and do not constitute a limitation to the protection scope of the present invention.

[0054] according to Figure 1-Figure 8 As shown, the present embodiment provides a method for assisting obstacle perception for the visually impaired based on the improved YOLO model, comprising the following steps:

[0055] Step 1: Establish YOLOV3 algorithm framework

[0056] Using Darknet-YOLOv3 as the framework, the YOLOV3 algorithm is based on GoogleNet's convolutional neural network, and Darknet-53 is used as the feature extraction backbone network to reduce the computational complexity and improve the reasoning speed, so that it can be deployed to the edge computing system; the YOLOV3 algorithm is Fully convolutional network, which uses the layer-skip residual module multiple...

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Abstract

The invention discloses an auxiliary obstacle perception method for visually impaired people based on an improved YOLO model, and the method comprises the steps: employing Darknet-YOLOv3 as a framework, and employing Darknet-53 as a feature extraction backbone network; according to the YOLOV3 algorithm, carrying out feature fusion by using a feature map up-sampling idea in a feature pyramid network FPN, so that the precision of small target detection is improved, and various common obstacles, including road cones, stone balls, isolation columns, forbidden cross bars, handrails, fire hydrants, plants, people, pits, water pits and the like, on sidewalks can be detected and identified. The method can identify various identifications and targets at traffic intersections, including zebra crossings, signal lamps, bicycles, motorcycles, vehicles, people and the like, and can also judge upstairs, downstairs, various steps and some other obstacle targets of unknown types.

Description

technical field [0001] The invention relates to the field of blind guides, in particular to an improved YOLO model-based auxiliary obstacle perception method for visually impaired persons. Background technique [0002] China is the country with the largest number of blind people in the world, about 12 million, accounting for 18% of the world's blind population. As a special group of social groups, they live in boundless darkness all their lives, so they often encounter various problems. The current market Most of the guide products on the Internet are simple in structure and single in function (it can only simply remind you that there are obstacles ahead). Although some products are easy to use, the auxiliary effect is not obvious. Moreover, blind friends will encounter many problems when using them, such as The road conditions are bad, potholes are uneven, there are obstacles hanging ahead, etc. Ordinary blind guide products cannot be accurately detected. The obstacle dete...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/00G06N3/045G06F18/24G06F18/214
Inventor 刘宇红李伟斌付建伟张荣芬胡国军
Owner 杭州易享优智能科技有限公司
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