Smart Navigation to Assist Blind People for Object Detection (original) (raw)
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Smart Navigation Assistance System for Blind People
IRJET, 2022
Real time object detection is a diverse and complex area of computer vision. If there is a single object to be detected in an image, it is known as Image Localization and if there are multiple objects in an image, then it is Object Detection. This detects the semantic objects of a class in digital images and videos. The applications of real time object detection include tracking objects, video surveillance, pedestrian detection, people counting, self-driving cars, face detection, ball tracking in sports and many more. Convolution Neural Networks is a representative tool of Deep learning to detect objects using OpenCV (Opensource Computer Vision), which is a library of programming functions mainly aimed at real time computer vision. This project proposes an integrated guidance system involving computer vision and natural language processing. A system equipped with vision, language and intelligence capabilities is attached to the blind person in order to capture surrounding images and is then connected to a central server programmed with a faster region convolutional neural network algorithm and an image detection algorithm to recognize images and multiple obstacles. The server sends the results back to the smart phone which are then converted into speech for blind person's guidance. The existing system helps the visually impaired people, but they are not effective enough and are also expensive. We aim to provide more effective and cost-efficient system which will not only make their lives easy and simple, but also enhance mobility in unfamiliar terrain.
Proposed System on Object Detection for Visually Impaired People
2018
Walking safely and confidently without any human assistance in urban or unknown environments is a difficult task for blind people. Blind people face several problems in their life, one of these issues that is the most vital one is identification the hindrances when they are walking. When moving from one place to another, they need help of other people around. Their independency in strolling is lost. Sticks can be usable but are not that reliable nor does everyone have it. A visually impaired person needs absolution to help him overcome problems in navigation due to his disability. The project is mainly focused on providing a type of visual aid to the visually impaired people. With the current advances in comprehensive innovation, it is conceivable to stretch out the help given to individuals with visual hindrance during their mobility. In this context we propose system in which an Android smartphone is used to help a blind user in obstacle detection and navigation. Today, smartphone...
Mobile Assistive Application for Blind People in Indoor Navigation
Lecture Notes in Computer Science, 2020
Navigation is an important human task that needs the human sense of vision. In this context, recent technologies developments provide technical assistance to support the visually impaired in their daily tasks and improve their quality of life. In this paper, we present a mobile assistive application called "GuiderMoi" that retrieves information about directions using color targets and identifies the next orientation for the visually impaired. In order to avoid the failure in detection and the inaccurate tracking caused by the mobile camera, the proposed method based on the CamShift algorithm aims to introduce better location and identification of color targets. Tests were conduct in natural indoor scene. The results depending on the distance and the angle of view, defined the accurate values to have a highest rate of target recognition. This work has perspectives for this such as implicating the augmented reality and the intelligent navigation based on machine learning and real-time processing.
ARTIFICIAL INTELLIGENCE BASED SMART NAVIGATION SYSTEM FOR BLIND PEOPLE
IRJET, 2022
There are a huge number of blind and visually impaired individuals in this world who consistently need some assistance. These blind people find it difficult to go outside their homes without any help. Artificial Intelligence Based Smart Navigation System is a gadget intended to help guide the visually impaired by recognizing objects and depicting the data to them as an audio signal. This diminishes human exertion and gives better comprehension of the surroundings. Besides it likewise gives a chance for the blind individuals to move from one spot then onto the next without needing any help from others. The gadget can likewise be utilized in old age homes where aged individuals experience issues in their everyday exercises because of diminished vision. In this work, a framework is carried out that navigates the individual along his/her way. The object before the visually impaired can be recognized using image recognition with Artificial intelligence. The data about the object type before the individual can be conveyed by means of earphones / headphones. This will assist the individual in walking without any trouble.
Object Identification and Geolocation Navigation for the Blind
International journal of computer applications, 2023
Blindness is a huge challenge that causes many problems, such as lack of social relationships, limited activities, and lack of employment. Existing solutions such as the white stick, assistive pets, and technologies that help blind people avoid obstacles are still in development. Unfortunately, not all blind people have a companion in life, and they face the struggles of life on their own. This study helps blind people recognize objects that they cannot see, distinguish people using face recognition, and help them move from one place to another, without assistance. The device is integrated with GPS feature and have its own mobile application where a family member can monitor or track the location of the actual blind person. The proponents are motivated to bridge the gap between blind people to their community and the outside world, this would be a huge blessing for these physically challenged people who would mostly be able to see the objects and people in front, travel to other places, and mostly detect obstacles that can harm them.
Assistive guidance system for the visually impaired
In recent years, with the improvement in imaging technology, the quality of small cameras have significantly improved. Coupled with the introduction of credit-card sized single-board computers such as Raspberry Pi, it is now possible to integrate a small camera with a wearable computer. This paper aims to develop a low cost product, using a webcam and Raspberry Pi, for visually-impaired people, which can assist them in detecting and recognising pedestrian crosswalks and staircases. There are two steps involved in detection and recognition of the obstacles i.e pedestrian crosswalks and staircases. In detection algorithm, we extract Haar features from the video frames and push these features to our Haar classifier. In recognition algorithm, we first convert the RGB image to HSV and apply histogram equalization to make the pixel intensity uniform. This is followed by image segmentation and contour detection. These detected contours are passed through a pre-processor which extracts the ...
A Survey on Assistance System for Visually Impaired People for Indoor Navigation
2018
In the past few years, the variety of wearable devices and remote processing systems developed for assisting visually impaired people for indoor navigation as well as for outdoor navigation. The main aim of such assisting wearable devices, smart phone applications and remote processing units is to find out a plausible path in the real-time environment for secure navigation. To sense the surrounding environment by applying techniques of computer vision domain such as visual information processing by using image processing methodology is one of the challenging task. This paper reviews various types of assisting systems developed for vision less people for indoor navigation.
Computer Vision Based Travel Aid for Blind
Electronic travel aid, which convert visual environmental cues into another sensory modality, have proved to help blind people with a great degree of physiological comfort and independence. The main problem of blind people is to detect and avoid obstacles both during outdoor navigation and indoor navigation. Designing an obstacle detector for blind is a challenging task. Although there are many mobility aids available, there are very few which can detect dangerous obstacles. A comparative study of mobility aid for outdoor and indoor navigation purpose is presented in this paper. Computer vision based approach to design a travel aid for blind is discussed. The aim of the design is to develop a FPGA based travel aid that can be used for both outdoor and indoor navigation.
An automated navigation system for blind people
Bulletin of Electrical Engineering and Informatics, 2022
Proper navigation and detailed perception in familiar or unfamiliar environments are the main roles for human life. Eyesight sense helps humans to abstain from all kinds of dangers and navigate to indoor and outdoor environments. These are challenging activities for blind people in all environments. Many assistive tools have been developed by the blessing of technology like braille compasses and white canes that help them to navigate around in the environment. A vision and cloud-based navigation system for the visually impaired or blind person was developed. Our aim was not only to navigate them but also to perceive the environment in as much detail as a normal person. The proposed system includes ultrasonic sensors detecting obstacles, stereo camera to capture videos to perceive the environment using deep learning algorithms. Face recognition approach identified known faces in front of him. Blind people interacted with the whole system through a speech recognition module and all th...
The advent and worldwide adoption of smartphones has enriched the lives of many people. However, one particular group--the visually impaired--still need specific apps to help them with their daily lives. Thus, I’m developing this Smart app to specifically help the visually-impaired. Specifically, I hope to integrate the functions of Google Maps into the Smart App. While Google Maps functions well as a GPS for the average person without any impairment, I’m adding additional features to the Smart app so that it would guide the eye-sight impaired. For example, I will use the camera of the Smartphone to guide the user such that it would take the user to the desired destination. Thus, using the inherent functions (camera) of a phone, the Smart app can gently and safely guide any sight-impaired person to a predetermined destination by walking. One can think of Smart app as an improvement upon Google Maps -- for the visually impaired.