# AI-FanGe/OpenAIglasses_for_Navigation

a open framework for blind navigation based on esp32

Repository: https://github.com/AI-FanGe/OpenAIglasses_for_Navigation
Canonical: https://ross.abutalabs.com/products/openaiglasses_for_navigation
Language: Python
License: MIT
License Family: permissive
Last push: 2025-11-01T06:47:27+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 50, release rhythm 35, longevity 22
- inputs: {"age_days": 317, "days_push": 305, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1343, forks 404 (observed 2026-08-28T04:04:26.357341+00:00)

## What it is
An open Python framework for an AI-powered smart glasses navigation system for visually impaired users, built around an ESP32-CAM client streaming video over WebSocket. It provides tactile paving (blind road) navigation, crosswalk and traffic light assistance, object finding with hand guidance, and real-time voice interaction using YOLO models, MediaPipe, and Alibaba DashScope/Qwen-Omni services.

## Use cases
- build assistive navigation glasses for blind users
- detect tactile paving and guide a user along it with voice
- help a visually impaired person cross streets by detecting crosswalks and traffic lights
- find objects by voice command and guide the user's hand to them
- stream ESP32 camera video to a web dashboard with real-time AI processing
- fuse IMU data from ESP32 with vision for pose estimation
- run real-time speech recognition and multimodal AI conversation on a live video feed

## When to choose
- you are prototyping or researching AI-based assistive navigation hardware
- you want an integrated pipeline combining YOLO segmentation/detection, tracking, ASR, and multimodal LLM dialogue
- you already have an ESP32-CAM or compatible WebSocket camera client and an NVIDIA GPU server
- you want a Chinese-language voice interaction and monitoring interface

## When to avoid
- you need a production-ready, safety-certified device for real visually impaired users - the README explicitly warns against direct deployment
- you have no NVIDIA GPU or cannot use Alibaba DashScope API keys
- you need a lightweight embedded-only solution without a server-side Python stack
- you need English or multilingual voice interfaces out of the box

## Facets
- artifact type: framework
- maturity: active
- function: computer-vision, speech-recognition, websocket, machine-learning, audio-processing, chatbot
- domain: computer-vision, accessibility, artificial-intelligence
- platform: python, cross-platform, iot
- tags: blind-navigation, assistive-technology, yolo, esp32, tactile-paving-detection, crosswalk-detection, voice-guidance, qwen-omni, dashscope, mediapipe, bytetrack, imu-fusion, wearable-device, real-time, web-server, gpu

## Member repositories
- AI-FanGe/OpenAIglasses_for_Navigation (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:26.357341+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:42:51.702577+00:00, confidence not recorded.
  - readme: https://github.com/AI-FanGe/OpenAIglasses_for_Navigation (fetched 2026-08-28T04:04:26.357341+00:00, sha a3e02da5648a)
- Data as of 2026-08-30T08:39:29.467469+00:00.