Motorised Pet Door Kit
Motorised Pet Door Kit — Build an AI Vision-Driven Door with Arduino & 4-DOF Servo Arm
Every part needed to construct a complete pet recognition and motorised door system. Pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Transform a simple door into an intelligent gateway that recognises your pet, computes an opening trajectory in real time, and activates a precision 4-DOF robotic arm. This project merges OpenCV pet detection running on a Linux host with an Arduino-driven servo assembly, demonstrating fused AI and motion control – ideal for a university capstone or an ambitious home automation prototype.
What You'll Build
A fully functional motorised pet door. A camera module captures live video; a Linux machine processes the feed with OpenCV to identify your pet, calculates inverse kinematics for a custom servo arm, and sends motion commands to the Arduino. The arm mechanically swings the latch, allowing your cat or small dog to pass while keeping out strays.
What You'll Learn
- Integrate OpenCV on Linux for real-time pet detection using trained classifiers
- Compute inverse kinematics targets for a 4-DOF articulated robotic arm
- Interface servo motors through the PCA9685 PWM driver from Arduino
- Design a stable mixed-voltage power system with buck conversion and decoupling
Kit Contents
| Component | Quantity |
|---|---|
| Arduino UNO Q | 1 |
| OV2640 Camera Module | 1 |
| PCA9685 Servo Driver | 1 |
| MG90S Servo | 4 |
| LM2596 Buck Converter | 1 |
| 1000µF 25V Capacitor | 3 |
| 100nF Capacitor | 10 |
| PCB Prototype Board | 3 |
| Aluminium Servo Bracket | 8 |
| USB-C Hub | 1 |
| 5V 5A PSU | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You must match camera voltage, servo torque, and driver current ratings | Pre-tested as a system; all voltages and signals are validated |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project, plus WhatsApp backup |
| Time to first working build | Days of debugging power noise and IK math | Hours, with step-by-step guidance and pre‑computed IK templates |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Designed for advanced engineering students in B.Tech (ECE/EEE/CSE) final year, Smart India Hackathon teams working on IoT automation, and ATL mentors seeking a college‑level challenge. It also suits researchers at IITs, NITs, or VIT wanting a tangible demo of vision‑guided mechatronics. Prior experience with Arduino and Python is essential.
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 prior knowledge is required to succeed with this kit?
You should be comfortable with Arduino programming, Python scripting, and basic Linux command line. Familiarity with OpenCV fundamentals is a plus. Our AI companion will walk you through the inverse kinematics concepts step by step, but a background in linear algebra helps.
Does the kit include the Linux computer for running OpenCV?
The kit supplies the OV2640 camera and Arduino components. You will need to provide a Linux-capable computer (such as a Raspberry Pi 4 or a laptop) to run the OpenCV detection software. The Arduino communicates with it over USB using the included hub.
Can I adapt this project for a larger door or heavier pet?
The MG90S servos and aluminium brackets are rated for small to medium doors (up to 2 kg latch mechanism). For heavier setups, you can scale the arm geometry and swap in higher-torque servos—the AI companion can help recalculate the IK parameters.
How do I troubleshoot if the pet detection isn’t reliable?
Start by calibrating the camera’s mounting angle and lighting. The AI companion includes a tuning checklist for detection thresholds. If issues persist, you can reach us on WhatsApp for direct engineering support within 24 hours.
Pet Smart Door — OpenCV object detection on Linux MPU computes IK target. STM32 drives 4-DOF servo arm via PCA9685.
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