Blind Stick Obstacle Detector Kit v2
Blind Stick Obstacle Detector Kit v2 — Build an AI Navigation Robot with OpenCV and Arduino
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a robotics prototype that can detect a person through a camera feed, lock onto their position, and guide a mobile platform safely while avoiding obstacles. This kit turns that concept into a working differential‑drive robot, using real‑time OpenCV processing on a Linux MPU and sensor fusion on an Arduino UNO Q. You’ll create a navigation aid that mimics a smart guide dog — ideal for accessibility projects, engineering final‑year submissions, or hackathon demonstrations.
What You'll Build
You’ll assemble a two‑wheeled robot that streams video from an OV2640 camera to a Linux board (not included), runs a person‑tracking algorithm, and sends the detected X‑offset to the Arduino UNO Q. The Arduino then steers the DC geared motors via an L298N driver, while two HC‑SR04 ultrasonic sensors scan for obstacles in the path. Encoder feedback refines dead‑reckoning, so the robot can smoothly follow a walking person while avoiding collisions.
What You'll Learn
- Integrating OpenCV person detection with embedded motor control over serial communication
- Configuring differential drive kinematics with LM393 encoder feedback for accurate movement
- Fusing ultrasonic sensor data to implement real‑time obstacle avoidance logic
- Managing portable power with a 12V SLA battery and LM2596 buck converter for stable 5V rails
Kit Contents
| Component | Quantity |
|---|---|
| Arduino UNO Q | 1 |
| OV2640 Camera Module | 1 |
| L298N Driver | 1 |
| DC Geared Motor 12V | 2 |
| LM393 Encoder | 2 |
| LM2596 Buck Converter | 1 |
| HC-SR04 | 2 |
| 12V 3Ah SLA Battery | 1 |
| XT60 Connector | 1 |
| 100nF Caps | 10 |
| PCB Prototype Board | 3 |
| USB-C Hub | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Engineering students preparing for Smart India Hackathon or final‑year B.Tech ECE/EEE projects will find this kit a ready‑to‑assemble solution. It’s also a solid platform for IIT, NIT, and VIT robotics clubs prototyping assistive technologies. Makers with intermediate Arduino and Python skills who want to enter embedded vision will get a structured, battle‑tested setup without hunting for compatibile parts.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code to start the AI companion; it knows every wire and line of code. For anything it can’t handle, our WhatsApp support (weekdays, 10 AM–6 PM IST) will help you debug.
Can I run OpenCV directly on the Arduino UNO Q?
No, the Arduino UNO Q lacks the processing power for OpenCV. The OV2640 camera connects to a Linux single‑board computer (e.g., Raspberry Pi, not included) that performs person tracking and sends only the X‑offset to the Arduino for motor control.
How long does the battery last during a demo?
With the 12V 3Ah SLA battery and efficient buck conversion, the robot runs for approximately 60–80 minutes of continuous person‑following operation.
How do I calibrate the person‑tracking sensitivity?
The Arduino sketch includes a tuning section for offset thresholds and PID constants. The AI companion provides a guided calibration walkthrough with visual feedback from the camera stream.
Accessibility — OpenCV person tracking on Linux MPU sends X offset to STM32 sketch that steers differential drive robot.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items