For part 1 click here :- https://www.electronicwings.com/users/PrinceJha/projects/6571/smart-agentic-voice-controlled-assistive-device-for-the-visually-impaired
step 4:- Wiring Schematic
Pin Connection Table
| Component | VCC | TRIG | ECHO | GND | Other |
|---|---|---|---|---|---|
| Top Sensor | 5V | D9 | D8 | GND | - |
| Bottom Sensor | 5V | D6 | D5 | GND | - |
| Buzzer | - | - | - | GND | Positive (+) → D11 |
Top Sensor (HC-SR04):
VCC → 5V
TRIG → D9
ECHO → D8
GND → GND
Bottom Sensor (HC-SR04):
VCC → 5V
TRIG → D6
ECHO → D5
GND → GND
Buzzer (5V Active):
Positive (+) → D11
Negative (-) → GND
Power (OTG from Phone):
OTG 5V → VIN (or 5V pin)
OTG GND → GND
Step 5:- Hardware Mounting on Outer Rectangle
"All electronic components are mounted on the outer rectangle. The inner rectangle (inside pouch) only provides structural support."
Component Placement Overview
| Component | Position on Outer Rectangle |
|---|---|
| Arduino | Center - secured with screws or double-sided tape |
| Top ultrasonic sensor | Upper front - 0° straight forward |
| Bottom ultrasonic sensor | Lower front - 30° downward angle |
| Buzzer | Connect to arduino |
| OTG cable | Side - connects to phone |
| Battery/power | Not needed - powered by phone via OTG |
Step 6 :- Upload Arduino Code
- Step 6.1: Download & Install Arduino IDE
| Arduino IDE website (arduino.cc) | "Download Arduino IDE from official website" |
| Select Windows/Mac/Linux version | |
| Installation completed |
Step 6.2: Open the Code
| # | Action |
|---|---|
| 1 | Download from GitHub https://github.com/clod9344-cloud/Global_blind_device.git |
| 2 | Open Arduino IDE |
| 3 | File → Open → Select the .ino file |
| Tools → Board → Arduino Uno | "Select Arduino Uno as board" |
| Tools → Port → COMx (Arduino) | "Select correct COM port" |
| Click Upload button (→ icon) | "Click Upload to flash code" |
| "Done uploading" message appears |
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Block Quote:
✅ Success: "When 'Done uploading' appears and Serial Monitor shows distance readings, your Arduino is programmed correctly. The buzzer will sound differently for obstacles (3 short beeps) vs stairs (1 long beep)."
Weight of the device
*"The complete device weighs approximately 280 grams including the smartphone. Without phone, the hardware enclosure is under 100 grams. This lightweight design ensures comfortable all-day wear without neck strain."*
| Configuration | Weight |
|---|---|
| Hardware only (Arduino + sensors + enclosure) | ~80 grams |
| Hardware + Smartphone | ~280 grams |
CONCLUSION
What We Built
VisionAssist AI transforms a standard smartphone and ₹540 worth of components into a hands-free wearable for visually impaired users.
The 7 Core Features
| # | Feature | What It Does | Internet Needed? |
|---|---|---|---|
| 1 | Obstacle Detection | Ultrasonic sensors detect walls, steps, curbs. Buzzer sounds instantly. | NO |
| 2 | Traffic Light Detection | Dual verification (AI + HSV color) tells user when safe to cross. | PARTIAL (HSV offline) |
| 3 | Indoor Navigation | Dual-index system guides through corridors with pre-recorded routes. | YES |
| 4 | Find Anything | Memory check → camera search → 360° scan until object found. | YES |
| 5 | Analyze Scene | AI describes everything in front: people, furniture, exits. | YES |
| 6 | Food Detection | Camera at plate identifies food items. | YES |
| 7 | Agentic Memory | Remembers object locations in local JSON. No API cost for repeat queries. | YES |
What Makes This Different
| Feature | VisionAssist | Why It's Different |
|---|---|---|
| Indoor Navigation | ✅ Dual-index system | Works in blurry corridors with pre-recorded routes |
| Find Anything | ✅ Search any object by name | Not limited to pre-trained objects. "Find my red charger" works |
| Agentic Memory | ✅ Removes API waste | Remembers object locations. Ask twice → answer from memory |
| Obstacle Detection | ✅ Ultrasonic + buzzer | Works offline. Instant alert without internet |
| Cost | ₹540 | 99.8% cheaper than dedicated devices |
| Open Source | ✅ | Anyone can build or modify |
Honest Limitations
| Feature | Limitation |
|---|---|
| Indoor Navigation | Works with pre-recorded routes only. Real-time SLAM is future work |
| Find Anything | Requires internet for AI vision to identify objects |
| Internet Dependency | Features 2-6 need internet. Only obstacle detection and agentic memory work offline |
| Cloud Cost | Groq API cost varies by usage. Estimate ~$12-15/month for 1000 light users |
Cost & Weight
| Metric | Value |
|---|---|
| Hardware cost (Arduino + sensors + buzzer) | ₹540 |
| Weight with smartphone | 280 grams |
| Weight without smartphone | ~80 grams |
Real-World Validation
"This should not just be a project. People like me actually need this."
— Visually impaired user
The Big Picture
VisionAssist AI proves assistive technology can be affordable. ₹540. 7 core features. Indoor navigation and Find Anything set it apart. Obstacle detection works offline. Open source. A step toward democratizing independence.
"Technology should lift people up, not price them out."
✅ Future Updates
| Limitation | Future Fix | Estimated Cost |
|---|---|---|
| Internet needed for AI | On-device TinyML (Edge Impulse or TensorFlow Lite) | ₹0 (software only) |
| Document stored on cloud | Local encrypted database (SQLite + AES) | ₹0 |
| USB OTG cable | Bluetooth module (HC-05) | ₹500 |
"These three upgrades will make VisionAssist AI fully offline, secure, and wireless — while keeping total cost under ₹1,000."
NGO Deployment Plan
Cost Per User (Honest)
| Item | Cost |
|---|---|
| Hardware (one time) | ₹540 |
| API per month | ₹50-200 (usage based) |
| Software | ₹0 (open source) |
| Self-hosted Month 7+ | ₹15-30/user/month |
| OrCam comparison | ₹3,00,000 |
| We save | 95-99% |
Deployment Phases
| Phase | Users | Time | Total Cost | Funding |
|---|---|---|---|---|
| Pilot | 10 | Month 1-3 | ₹9,900 | Rotary Club |
| Scale | 100 | Month 4-6 | ₹2,34,000/year | Tata Trusts / Infosys |
| Self-Hosted | 500+ | Month 7+ | ₹3.3-4.5 lakh/year | ADIP Scheme |
Scale vs OrCam
| Users | Our Cost | OrCam Cost |
|---|---|---|
| 10 | ₹9,900 | ₹30 lakh |
| 100 | ₹2.34 lakh | ₹3 crore |
| 28,500 | ₹7 crore | ₹855 crore |
Key Facts
| Point | Status |
|---|---|
| Software | ✅ ₹0 open source |
| API cost | ✅ Real, included in all numbers |
| ADIP Scheme | ✅ ₹20,000/person/year already allocated |
| Volunteer support | ✅ 1 volunteer per 30 users |
| GitHub deployment | ✅ Any NGO can deploy independently |
PART 1 LINK :- https://www.electronicwings.com/users/PrinceJha/projects/6571/smart-agentic-voice-controlled-assistive-device-for-the-visually-impaired
