VOLTRA Engineering Standard · Architecture & technical deep dive · Design decisions · Tests & evidence · Security & privacy · Roadmap · History · Releases
A shared engineering format, with project-specific evidence. No unperformed hardware test, semantic release or CI success is implied.
A wearable assistive-technology prototype exploring how a camera, an ultrasonic distance sensor, and spoken feedback can make nearby surroundings easier to understand for people who are blind or have low vision.
The engineering goal is simple: turn useful environmental information into a clear, timely cue—not another screen someone must watch.
Real application screenshot. A photograph of the assembled glasses is still needed.
Real hardware photograph supplied by the project owner: a compact camera-equipped board, USB connection, and a cabled Seeed Studio antenna marked "2.4G A-02". The exact board, camera sensor and firmware remain unconfirmed. The glasses mount and ultrasonic sensor are not shown; this photograph is not a live-operation test.
flowchart LR
C[Camera: JPEG frames] --> W[Windows Python bridge]
U[Ultrasonic sensor: intended input] -. hardware verification pending .-> W
W --> B[iPhone / desktop browser]
B --> V[Spoken feedback]
- Camera transport: a real JPEG reached the bridge during a recorded live check.
- Distance-aware alerts: software accepts valid readings and can request an Arabic warning; physical distance sensing still needs a successful test.
- Browser interaction: voice, language, and speed controls, with manual demonstrations separated from sensor events.
- Inspectable engineering: source code, software tests, and dated evidence instead of unsupported performance claims.
The recorded check on 15 October 2026 returned HTTP 200 for the bridge and camera, receiving a 7,359-byte JPEG. The distance endpoint returned HTTP 502: an end-to-end ultrasonic demonstration is not yet verified. The earlier recorded software suite passed 49 tests; those are not physical sensor or navigation tests.
Recorded evidence · Hardware status · Verification boundaries
Install Python 3.12, run setup_windows.bat, then start_windows.bat. Open http://localhost:8766/ and configure the device address in the app. Setup downloads dependencies and model/browser assets.
Windows + iPhone guide · Python bridge · Tests
Document the assembled glasses, confirm the sensor and electrical interface, then compare real distance samples with known targets and evaluate audible cues in a controlled setting. Spatial-reconstruction research remains in the source; it is not a claim of LiDAR-grade accuracy.
Research prototype—not a navigation or medical safety device. It must not replace a white cane, guide dog, or trained mobility support. No blind-user study or safe street-navigation capability has been demonstrated.
Created by ali9235 · Repository