Outdoor Assistance for Visually Impaired People Using Machine Learning

Visually impaired and blindness caused by various diseases has been hugely increased because of various problems in the eyes and by born also many people are affected by eye problems to giving solutions for that we choose the project. These people face numerous challenges in playing out their everyday tasks, particularly in self-exploring in a situation that is unusual for them. They can't distinguish the item around them and them unable to recognize the object around them precisely much of the time. With the help of Object detection and classification technique, assist the blind people because during their mobility what are the objects present in front of those people it will be easily identified and giving instructions into the speaker itself. In this paper, our main idea is to detect the object in front of blind persons that detected objects are converted into voice feedback. For object detection, we use Single-Shot Detector Model for Train-Test configuration. then we use Play sound and GTTS python cross-platform libraries for classified labels into voice feedback. This system provides an efficient way of guiding the visually challenged people.

Art paintings accessible to the blind

The purpose of the article is to explore in what ways visual arts can be brought closer to blind persons in the postmodern society, in which sight is perceived to be the highest of the senses and in which most information is based on images. The basic methods of presenting a work of art involve the remaining senses, mostly those of hearing and of touch. It is of course not enough just to deliver a factual description of a painting or to transform it into tactile graphics – more complex techniques such as audio-description, method of associations, participating in role-playing, all with the aim of a holistic experience of the work of art, must be sought instead.

Low-Cost Ultrasonic Range Improvements for an Assistive Device

To achieve optimal mobility, visually impaired people have to deal with obstacle detection and avoidance challenges. Aside from the broadly adopted white cane, electronic aids have been developed. However, available electronic devices are not extensively used due to their complexity and price. As an effort to improve the existing ones, this work presents the design of a low-cost aid for blind people. A standard low-cost HC-SRF04 ultrasonic range is modified by adding phase modulation in the ultrasonic pulses, allowing it to detect the origin of emission, thus discriminating if the echo pulses come from the same device and avoiding false echoes due to interference from other sources. This improves accuracy and security in areas where different ultrasonic sensors are working simultaneously. The final device, based on users and trainers feedback for the design, works with the user’s own mobile phone, easing utilization and lowering manufacturing costs. The device was tested with a set of twenty blind persons carrying out a travel experiment and satisfaction survey. The main results showed a change in total involuntary contacts with unknown obstacles and high user satisfaction. Hence, we conclude that the device can fill a gap in the mobility aids and reduce feelings of insecurity amongst the blind.

The Smart Assistant for Library Management and Book Reader for Blind People Using Raspberry Pi

This system proposes a camera-based assistive text reading framework to help blind persons ad text labels and product packaging from hand-held objects in their daily lives. To isolate the object from cluttered backgrounds or other surrounding objects in the camera view, we rest propose an ancient and active motion-based method to dine a Region Of Interest (ROI) in the video by asking the user to shake the object. In the extracted ROI, text localization and recognition are conducted to acquire text information. To automatically localize the text regions from the object ROI, we propose a novel text localization algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Ad boost model. Text characters in the localized text regions are then binaries and recognized by the shelf Optical Character Recognition (OCR) software.

Study on the Improvement of Domestic Barrier-free Standard and Response Manual to Secure Evacuation Safety for Blind Persons

There are approximately 290 million blind people worldwide. Among them, approximately 40 million people are severely blind. Although systems and policies have been improved to enhance the convenience of the visually impaired, the standards related to evacuation safety in the case of fire have not been sufficiently improved. Therefore, in this study, to ensure the safe evacuation of the visually impaired in case of fire, domestic fire safety standards were derived by analyzing the development status of a domestic barrier-free system and related manuals based on the characteristics of evacuation behaviors of the visually impaired, as well as by reviewing the cases in the United States and the United Kingdom. As a result, the following measures were derived: 1) improving the display method for landmark elements, 2) customized fire safety education and training for employees, and 3) a plan to develop a personal emergency evacuation planning manual in accordance with the characteristics of a building. It is expected that these objectives can be used to improve fire safety standards and manuals and to develop related technologies for the visually impaired.