Blind Guidance System Research Articles

Assistive Technology for Navigation of Visually Impaired People

In this paper, an assistive navigational technology was proposed for those who are blind. People who are visually impaired are more likely to be physically inactive, move more slowly, and dread falling. As a result, the majority of them lack the confidence necessary to travel on their own in strange places. Despite the fact that some technology advancements can help them, not all of them are affordable to the common man. Through our efforts, we hope to help visually impaired persons feel secure and confident while navigating new surroundings. Assistive tech- nology for navigation of visually impaired people is an affordable and efficient computer vision based blind guidance system that helps the user detect the distance to obstacles well in advance and avoid them. The suggested system also includes an emergency distress alert feature that enables users to communicate their locations in an emergency.

Image segmentation for blind lanes based on improved SegNet model

The position of blind lanes must be correctly determined in order for blind people to travel safely. Aiming at the low accuracy and slow speed of traditional blind lanes image segmentation algorithms, a semantic segmentation method based on SegNet and MobileNetV3 is proposed. The main idea is to replace the coding part of the original SegNet model with the feature extraction part of MobileNetV3 and remove the pooling layer. Blind lanes images were collected through online search and self-shooting, and then the data were manually marked by LabelMe software and trained on TensorFlow deep learning framework. The experimental results show that the improved model has high segmentation accuracy and recognition speed. The pixel accuracy of blind lanes segmentation is 98.21%, the mean intersection over union is 96.29%, and the average time for processing a 416 × 416 image is 0.057 s, which meets the real-time requirements of the blind guidance system.

Blind guidance system based on image recognition and convolutional neural network

This paper applies straight-line driving technology and pothole detection technology in the field of unmanned driving and edge detection in image recognition to the blind guide system. Researched and produced an intelligent, popular, safe and reliable intelligent blind guide system. This blind guide system uses Python and OpenCV as the development environment under the Linux operating system to realize image recognition and integrate functions on the Jetson nano development board. Through the simulation and analysis of scenes such as the life and travel of the blind, the designed blind guidance system mainly realizes the following functions: image recognition, traffic light recognition, zebra crossing detection, road pothole detection, voice interaction, and assisting straight-line walking.

A Design of Road Lifting Blind Device and Finite Element Analysis

The visually impaired cannot identify the traffic signal lamp accurately in the existing road intersection, because there is no effective blind guidance system. In view of the problem, a new lifting blind device was designed in this paper, which contains device structure and control system. Three-dimensional modeling and stress situation of the device were analyzed through Solidworks, the results showed that the structure and material selection of the blind track lifting device could meet the requirements. Because the device is simple, reliable and efficient, it is conducive to popularize and applicate.

A Smart Infrared Microcontroller-Based Blind Guidance System

Blindness is a state of lacking the visual perception due to physiological or neurological factors. The partial blindness represents the lack of integration in the growth of the optic nerve or visual centre of the eye, and total blindness is the full absence of the visual light perception. In this work, a simple, cheap, friendly user, smart blind guidance system is designed and implemented to improve the mobility of both blind and visually impaired people in a specific area. The proposed work includes a wearable equipment consists of head hat and mini hand stick to help the blind person to navigate alone safely and to avoid any obstacles that may be encountered, whether fixed or mobile, to prevent any possible accident. The main component of this system is the infrared sensor which is used to scan a predetermined area around blind by emitting-reflecting waves. The reflected signals received from the barrier objects are used as inputs to PIC microcontroller. The microcontroller is then used to determine the direction and distance of the objects around the blind. It also controls the peripheral components that alert the user about obstacle's shape, material, and direction. The implemented system is cheap, fast, and easy to use and an innovative affordable solution to blind and visually impaired people in third world countries.

Blind guidance system based on laser triangulation

We propose a new guidance system for the blind. An optical triangulation method is used in the system. The main components of the proposed system comprise of a notebook computer, a camera, and two laser modules. The track image of the light beam on the ground or on the object is captured by the camera and then the image is sent to the notebook computer for further processing and analysis. Using a developed signal-processing algorithm, our system can determine the object width and the distance between the object and the blind person through the calculation of the light line positions on the image. A series of feasibility tests of the developed blind guidance system were conducted. The experimental results show that the distance between the test object and the blind can be measured with a standard deviation of less than 8.5% within the range of 40 and 130 cm, while the test object width can be measured with a standard deviation of less than 4.5% within the range of 40 and 130 cm. The application potential of the designed system to the blind guidance can be expected.

J102055 ユーザ携帯型超音波受信器を用いた横断歩道支援システム([J10205]ライフサポート(5))

J102055 ユーザ携帯型超音波受信器を用いた横断歩道支援システム([J10205]ライフサポート(5))

1A2-F10 超音波を利用した視覚障碍者ナビゲーションシステムの開発

1A2-F10 超音波を利用した視覚障碍者ナビゲーションシステムの開発

204 横断歩道の歩行を支援する視覚障碍者ナビゲーションシステムの開発(計測・制御I)

204 横断歩道の歩行を支援する視覚障碍者ナビゲーションシステムの開発(計測・制御I)