u/Impressive-Bite-8213

Does any have a pi for sale..dm ...me. ( any seniors passing out 🤧)

Long-time lurker, first time posting a project here.

Github :

https://github.com/colonelblacc/Dynamic-Braille

DynaBraille is a reading desk for blind students. The embedded side is what I want to share — the Raspberry Pi handles all the AI, and the Arduino is purely a real-time servo driver receiving character packets over UART.

---

The Braille Cell

6 SG90 micro servos in a 2×3 grid inside a custom 3D-printed PLA housing. Each servo arm has a pin attached — rotating it raises or lowers the pin through the top plate to form a Braille dot. Any Grade-1 Braille character = a specific 6-bit servo configuration.

The Pi sends packets over serial UART at 9600 baud:

```

BRAILLE:100100\n

^^^^^^

dots 1–6 (1 = raised, 0 = lowered)

Dot layout:

1 4

2 5

3 6

```

The Arduino sketch parses the packet, maps each bit to a servo, and positions them. 400ms settle time between characters to let the servo arms fully actuate before the user touches the dots.

---

Touch Sensor for Word Advance

A capacitive touch sensor is mounted on the **side** of the housing. The student's fingers rest on the Braille dots; they tap the side sensor with their thumb to advance to the next word. The Arduino detects the tap and sends a `NEXT` signal back to the Pi over the same UART line. Hands never leave the device during reading.

---

The Pi Side (brief)

- Pi Camera 3 → perspective warp → CLAHE enhance

- PaddleOCR (English) with confidence fallback to Tesseract (Malayalam)

- Gemma 2B via Ollama for OCR cleanup — runs fully on-device

- pyttsx3 TTS + Vosk offline ASR

- Gemini 1.5 Flash optional (explain/summarize/describe diagrams)

Full offline mode: `python main.py --no-gemini`

Happy to discuss the servo timing, UART protocol design, or the touch sensor debounce logic.

Long-time lurker, first time posting a project here.

Github : https://github.com/colonelblacc/Dynamic-Braille

**DynaBraille** is a reading desk for blind students. The embedded side is what I want to share — the Raspberry Pi handles all the AI, and the Arduino is purely a real-time servo driver receiving character packets over UART.

---

**The Braille Cell**

6 SG90 micro servos in a 2×3 grid inside a custom 3D-printed PLA housing. Each servo arm has a pin attached — rotating it raises or lowers the pin through the top plate to form a Braille dot. Any Grade-1 Braille character = a specific 6-bit servo configuration.

The Pi sends packets over serial UART at 9600 baud:

```

BRAILLE:100100\n

^^^^^^

dots 1–6 (1 = raised, 0 = lowered)

Dot layout:

1 4

2 5

3 6

```

The Arduino sketch parses the packet, maps each bit to a servo, and positions them. 400ms settle time between characters to let the servo arms fully actuate before the user touches the dots.

---

**Touch Sensor for Word Advance**

A capacitive touch sensor is mounted on the **side** of the housing. The student's fingers rest on the Braille dots; they tap the side sensor with their thumb to advance to the next word. The Arduino detects the tap and sends a `NEXT` signal back to the Pi over the same UART line. Hands never leave the device during reading.

---

**The Pi Side (brief)**

- Pi Camera 3 → perspective warp → CLAHE enhance

- PaddleOCR (English) with confidence fallback to Tesseract (Malayalam)

- Gemma 2B via Ollama for OCR cleanup — runs fully on-device

- pyttsx3 TTS + Vosk offline ASR

- Gemini 1.5 Flash optional (explain/summarize/describe diagrams)

Full offline mode: `python main.py --no-gemini`

Happy to discuss the servo timing, UART protocol design, or the touch sensor debounce logic.