This is a vision enhancer based module specifically for the BLIND VICTIMS. The system is designed in such a way in which the blind person can take the help of THIRD PARTY APPLICATION which sends Real Time Frames to the LAPTOP-BASED WIRELESS NETWORKED SYSTEM. It works on REAL-TIME OBJECT DETECTION using SSD_MOBILENET algorithm and TENSORFLOW APIs . It has a core feature of approximate distance calculation and Voice - Based wireless feedack generation w.r.t the DISTANCE CALCULATION. It makes the work of Blind easy,efficient and reliable by sending wireless Voice based feedback whether the particular object is either too close to him or is it at a safer distance. The same system can be used from Obstacle Detection

Open-Source Sidewalk Navigation Software for Visually-Impaired Individuals using Multithreaded CNN’s

Travel Assistance System for the Visually Impaired (ARIADNE) is an AI-powered solution designed to enhance mobility for visually impaired individuals by combining real-time video analysis with voice-guided navigation.

YoloV3Tiny for Android

This python program detects sidewalks and gives real time navigation to a blind man using the camera.

An Android app designed to test a user interface for blind people. The app uses voice feedback and simple swipes and taps to help blind people get GPS directions.

This project attempts to create a system which would bring in added ease to the visually impaired, through our nagivation, obstacle-detection, obstacle distance identification and speech-driven system to seamlessly integrate applications like Ola, Uber, etc. This was built during the PW-Hacks Jan-2023.

An algorithm that detects and outlines sidewalks or driving lanes to provide the blind with real time navigation feed backs.

Blind Navigation based on Stereo Vision and Computer Vision Obstacle Detection (Smart India Hackathon'17)

University project for Mobile and Social Sensing Systems course (MSc Computer Engineering at University of Pisa, A.Y. 2022-23)

This is an android project named “A navigation for blind people based on android platform”. This project aims to help blind people to arrive at their destination safely and make them can be rescued as fast as possible if they face some danger.

Visual impairment entails significant challenges for persons to perform their daily activities and could ultimately reduce the quality of life. A realistic perception of the environment is important for persons with visual impairments to provide an intuitive awareness of the physical surrounding for protection against hazards and to facilitate social inclusion. These group of people require continuous assistance in real time during their movement to and fro. Researchers and scientists have been trying to develop automatic navigation systems to assist those people in the activities of their daily living [1]. The proposed project proposes an indoor navigation system for persons with visual impairment using computer vision and machine learning. Here, an intelligent decision support system (DSS) based on artificial intelligence i.e. machine learning will be developed to reliably sense the environment by using cameras, translate the information, navigate and suggest personalized decisions to persons with visual impairments. The goal of this project is to develop a standalone navigation system using FPGA/raspberry pi board and Artificial Intelligence (AI) algorithms which can be used for visually impaired people. The proposed solution is designed for indoor use only (house, office, etc.). It provides the visually impaired person the ability to navigate without any other hardware assistance. In the project, one camera will be used for streaming surrounding environment and the FPGA/ raspberry pi system will able to help for navigation in the environment. There are several methods to perform this kind of tasks such as image GPS, image and so on [2, 3]. In this project the aim is to use image processing-based navigation system and navigation command can be either text or voice or any other format. For example, there is an obstacle after 5 meters ahead, or there is a cat 3 meter in left etc. The system should have one or more AI algorithms.

No description available

慧眼探盲-微信小程序开发 SmartVision-Blind

Blind Navigation using Stereo Imaging

The Smart Navigator Cane is a project that aims to improve the mobility and independence of blind people. This innovative device uses RFID technology, Arduino Uno, Earpiece, MPU6050 Pedometer to provide real-time navigation assistance to visually impaired individuals

Raspberry Pi + ESP32 system for blind assistance using LiDAR, OpenCV, YOLO, haptic + audio feedback

this is just a prototype of an android app to help blind people navigate indoors

The AI Navigation Assistant helps visually impaired users by offering real-time navigation guidance through object detection and audio feedback. An Android app streams camera frames to a server running a generalized object detection model, which processes the frames and sends back voice-guided instructions via an AI assistant.

This python program detects sidewalks and gives real time navigation to a blind man using the camera.

A special specs, few vibrators, pair of headset,and a computing device in hand. this is the future we expect for visually challenged people. Blind navigation system as name suggests is a system that assist blind in everyday life.

No description available

KhalsaGuide - an indoor navigation android application for blinds based on bluetooth BLE beacons. As soon as the app is launched, it turns on the mobile bluetooth in search mode. As soon as a new device is found, it checks its MAC address and sees if it is one of the devices stored in the database. If yes, it then maps a path to the destination provided by the user and guides him/her with directions using voice commands

盲人导航系统，年代久远，部分代码丢失

Mobile application on Android that helps blind people nagivate through the city. It's main features are obstacle detection with OpenCV, current location, compass and voice commands.

A blind navigation system using OpenCV could utilize computer vision algorithms to interpret visual data from a camera feed and provide audio or haptic feedback to guide the user. Features such as object recognition and depth perception could enhance the system's accuracy and effectiveness.

Solar powered, low cost and light weight smart navigation device for blind people. Part of Project & Poster Presentation - 2017.

No description available

No description available

Empowering independence through technology: Explore our integrated assistive system combining advanced object detection and blind navigation, designed to enhance accessibility for individuals with visual impairments. Navigating the world with confidence and precision.