AI-FanGe/OpenAIglasses_for_Navigation
a open framework for blind navigation based on esp32 observed · 2026-08-28
Health v2 · maintenance only
39/100
- Activity 50
- Release rhythm 35
- Longevity 22
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 317
- days_rel: n/a
- days_push: 305
- n_releases_24m: 0
Adoption not part of the score
1343 stars · 404 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
framework · maturity active
computer-vision speech-recognition websocket machine-learning audio-processing chatbot computer-vision accessibility artificial-intelligence python cross-platform iot 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
1 source
- readme: https://github.com/AI-FanGe/OpenAIglasses_for_Navigation · fetched 2026-08-28 · a3e02da5648a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| AI-FanGe/OpenAIglasses_for_Navigation | main | 39 |
For agents
markdown · JSON · MCP: product_card(name="AI-FanGe/OpenAIglasses_for_Navigation")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem