a open framework for blind navigation based on esp32

Autonomous navigation for blind people

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.

Developing a tool for the visually impaired people is not a recently emerged problem. But developing a computer aided tool is a still developing area. The aim of all these systems is to help the user in navigation without the help of a second person. There are several works using computer vision techniques. But there is no existing method that help to solve the all basic needs of blind person. This project presents a comprehensive scheme for reconstructing a three-dimensional (3D) model from a stereo camera via multi-view calibration. The depth information is useful so as to estimate the actual position of the target object. It is an essential parameter that can allow visualization from multiple perspectives. We provide an improved method for detecting objects and calculating the distance of these objects using stereo vision in real time. The stages involved include camera calibration, image rectifying, disparity calculation, and three dimensional reconstruction. Results show that objects located from 65cm up to 203cm are properly measured for their distances, with an average error of 3cm. The precision of the measurement also depends on the quality of the calibration.

The Indoor and outdoor Navigation Assistance System aims to provide blind or visually impaired individuals with comprehensive navigation support in indoor and outdoor environments

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.

[IROS 2024] Public sourcecode for Belief-Aided Socially-Aware Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots

Social Innovation project on blind stick for the blind people of Kuttar Ashram Mangalore This is an Social Innovation project specially build for the blind people of Kuttar Ashram Mangalore Blind stick is an innovative stick designed for visually disabled people for improved navigation. We here propose an advanced blind stick that allows visually challenged people to navigate with ease using advanced technology.

NOVA - Navigation and Orientation Visual Assistance. NOVA is an app designed to assist blind or visually impaired individuals in navigating their surroundings.

ALOHOMORA is a vision-based blind stick. It aims at providing the visually impaired people with an easyand handy object identification and navigation system. The model that we will be using for objectidentification has been trained on the images of famous objects/obstacles that can be encountered by a visually impaired person in everyday life. This information will act as the basis for the results given to the user. Also, the distance to the object/obstacle will be calculated using a sensor and accordingly theinformation will be used to inform the person about the range or distance at which the object is.Furthermore, the system needs a continuous power supply to for its operation. The program on themini-computer should always be running in order to provide satisfying results to the visually impaired person. There is more more to come in project ,until wait Technologies used- 1.SOFTWARE - Operating System - Ubuntu 16.04,NOOBS 2.1.0 (Raspbian Pixel) Language - Python3 Machine Learning Libraries - Tensorflow 0.12.0,0.12.0, Inception v3 2.HARDWARE- Raspberry Pi model 3B, Ultrasonic Sensor HC SR-04, Passive Speaker Buzzer

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

Low cost Indoor navigation system for people who are blind

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

Voice-controlled indoor navigation for blind and visually impaired people.

Wearable Navigational Aid for the Blind. Haptics + Ultrasonic + IMU + MCU

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.

Android app, GPS with walking and transit mode, adapted for blinded people with a new navigation system

CollabAlly is a system that makes collaboration awareness in document editing accessible to blind users. CollabAlly extracts collaborator, comment, and text-change information and their context from a document and presents them in a dialog box to provide easy access and navigation.

A navigational app for the blind built with Google Cloud Platform and Flutter. Winner of Best Use of AccuWeather, Best use of GCP, and the Smart Cities Track at HackKU 2020.

The Digital White Cane is a primary electronic mobility head mount aid for use by people who are blind or visually impaired; it is a major "step forward" in assistive technology that allows safe obstacle avoidance and permits navigation around obstacles both in the user's forward path and whatever direction the user turns their head before walking in that direction, giving valuable protection at head/chest height while the cane still cover ground obstacles.

Navigation Assistant For Visually Restricted And Aided Humans (N.A.V.R.A.A.H.): An intelligent assistive framework integrating Raspberry Pi and Arduino to enable real-time object detection via TensorFlow and haptic-audio feedback for safer, independent navigation.

A next-level navigation app for blind people

This is the API for the Navigation For the Blind. Currently testing on GitHub and might delete later

Blind navigation prototype using YOLO-based semantic segmentation, object detection, and optional local LLM scene description on video streams.