Manufacturing QC Vision Kit v19
Manufacturing QC Vision Kit v19: Continual Learning QC Robot on Raspberry Pi 5
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
You’ll assemble a 6-DOF robot arm controlled by a Raspberry Pi 5, train PackNet—a progressive neural network—on ten manufacturing QC tasks, and watch the system accumulate skills without catastrophic forgetting. This kit recreates a research-grade benchmark for lifelong learning, from defect detection to sequential manipulation, giving you hands-on exposure to one of AI’s hardest challenges.
What You'll Build
A complete manufacturing QC station where a robot arm performs ten sequential inspection and manipulation tasks, each new skill built on retained abilities. The Pi 5 runs PackNet to demonstrate real continual learning. You can benchmark accuracy, forgetting metrics, and skill retention across all ten tasks right on your desk.
What You'll Learn
- Implement PackNet progressive networks on edge devices for lifelong skill accumulation.
- Train convolutional vision pipelines for industrial defect detection and object sorting.
- Configure servo-driven robotic manipulation sequences with PCA9685 and MG996R servos.
- Benchmark multi-task learning performance using standard continual learning evaluation metrics.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Pi Camera Module 3 | 1 |
| Servo Driver PCA9685 | 1 |
| MG996R Servo | 6 |
| Robot Arm Kit | 1 |
| NVMe SSD 512GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 20 |
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 built for final-year B.Tech (ECE/EEE) students, M.Tech robotics researchers, and Smart India Hackathon teams tackling Industry 4.0 problems. If you’re from IIT, NIT, VIT, BITS, or any AI lab working on continual learning for industrial automation, you’ll find every component and the pretested PackNet codebase ready to run.
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?
The AI companion provides 24/7 guidance; you can also reach us on WhatsApp for direct help with any hardware or software blockers.
Does the kit include the PackNet software?
The AI companion gives you access to the benchmark codebase and installation scripts. You’ll need to understand and modify it—typical of an advanced kit—but everything you need to run the ten-task benchmark is provided.
Can I use this kit for other continual learning algorithms besides PackNet?
Absolutely. The hardware is fully reprogrammable. You can implement EWC, SI, or any other lifelong learning method. PackNet serves as a robust reference implementation to get you started quickly.
How complex is the mechanical assembly of the robot arm?
The robot arm kit includes clear step-by-step instructions. Expect about 3–4 hours of assembly. The servos and PCA9685 driver come with pre-terminated connectors and sample code, so wiring and control are straightforward.
Manufacturing QC — PackNet progressive network on Pi 5 accumulates skills over lifetime without forgetting — benchmark across 10 sequential manipulation tasks.
What's in this kit
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