Industrial Bin Level Monitor Kit v3
Industrial Bin Level Monitor Kit v3 – AI Vision-Guided Inventory Robot
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Manufacturing and warehouse environments rely on inventory assistants that autonomously follow a worker while scanning shelves. With this kit, you build exactly that: a differential-drive robot that uses an AI camera module running OpenCV to lock onto a person, computes the horizontal offset in real time, and sends steering commands to an Arduino-powered motor controller. The result is a responsive tracking robot that stays precisely behind the operator, freeing hands for bin level inspection or barcode scanning.
What You'll Build
By the end of the build, you will have a fully functional vision-guided robot on wheels. The Linux MPU inside the OV2640 camera module captures live video, runs a person-detection model, and transmits an X-offset over UART. The Arduino UNO Q receives this value and drives the two DC motors through the L298N, with LM393 encoders providing odometry feedback. Two HC-SR04 ultrasonic sensors add collision avoidance, while the 12V SLA battery powers the entire system through the LM2596 buck converter. You'll be able to test it in a mock warehouse aisle, seeing how the robot adjusts its trajectory to maintain a constant follow distance.
What You'll Learn
- Real-time person tracking with OpenCV on an embedded Linux camera
- Closed-loop differential drive control using encoder feedback
- Serial communication between a Linux MPU and an Arduino for motor commands
- Power budgeting and regulation for a mobile robot (12V battery, buck converter, sensor power)
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
This kit is designed for final-year B.Tech students (ECE, EEE, Mechatronics) who need a capstone project combining embedded vision and motor control. It is equally relevant for participants in the Smart India Hackathon or teams at IIT, NIT, VIT, and BITS Pilani working on warehouse automation prototypes. Professionals in industrial robotics will also find it a fast way to experiment with person-following algorithms on real hardware.
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 on the box to launch the AI companion, which has step-by-step visuals, wiring diagrams, and debug guidance for every part. If you need human help, message us on WhatsApp and a Compoden engineer will assist within hours.
Can this be used as a final-year engineering project?
Absolutely. The project involves computer vision, embedded C++, and feedback control — all core topics for a B.Tech major project. The kit ships with a project report template and a video demonstration idea that aligns with typical university requirements.
Does the OV2640 camera module include the Linux MPU?
Yes, the OV2640 Camera Module in this kit is a pre-assembled AI camera with an integrated Linux single-board computer. It runs a custom OpenCV image and transmits the tracking offset, so no additional computer is needed.
What battery life can I expect during testing?
The 12V 3Ah SLA battery provides approximately 2–3 hours of continuous operation when running both the camera module and motors. The LM2596 buck converter efficiently regulates voltage to the Arduino, while the motors draw directly from the battery through the L298N driver.
Industrial Inventory — 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