Manufacturing QC Vision Kit v38
Manufacturing QC Vision Kit v38 – Benchmark Edge AI on Pi 5 and ESP32-S3
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Step into the world of smart manufacturing with a hands-on comparison of two leading edge AI platforms. This kit enables you to deploy a TensorFlow Lite image classification model on both Raspberry Pi 5 and ESP32-S3, then benchmark inference speed, classification accuracy, and power consumption — the exact metrics that drive industrial quality control decisions.
What You'll Build
You'll assemble a dual-platform vision system that captures images of products, runs pre-trained TensorFlow Lite models for defect detection, and logs performance data. The build includes setting up the Pi 5 with NVMe SSD for fast inference, connecting camera modules, and flashing the ESP32-S3 with its lightweight model. By the end, you'll have a bench setup that mirrors a real factory QC station, complete with a comparative dashboard.
What You'll Learn
- Deploy TensorFlow Lite models on both Linux-based (Raspberry Pi) and microcontroller-class (ESP32-S3) devices.
- Measure and interpret inference latency, classification accuracy, and power consumption for each platform.
- Optimize neural network models for resource-constrained edge hardware using quantization techniques.
- Build a comparative data logging pipeline to justify hardware choices for industrial applications.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| ESP32-S3 Dev Board | 1 |
| OV2640 Camera | 1 |
| Pi Camera Module 3 | 1 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| MicroUSB Cable | 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 built for engineering students (B.Tech ECE, EEE, CS) tackling final-year projects, hackathon participants at Smart India Hackathon, and researchers at IITs, NITs, or VIT who need to benchmark edge AI hardware. It's also ideal for ATL tinkering labs introducing advanced computer vision concepts.
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 access your AI build companion, trained specifically on this Manufacturing QC kit; for real-time help, WhatsApp our support team.
Do I need any additional tools or software?
A laptop with USB ports and a microSD card reader are needed to flash the ESP32-S3 and set up the Pi 5 OS; all necessary libraries and model files are provided in the companion guide.
Can I test the setup with my own product images?
Yes, the AI companion walks you through fine-tuning MobileNetV2 or EfficientNet-Lite on your own defect dataset, whether for PCB inspection, packaging checks, or textile flaws.
How do I measure power consumption accurately?
The kit includes guidance to use the Pi 5's PMIC telemetry and an external USB power meter (not included) for the ESP32-S3; instructions cover logging watts during inference runs.
Manufacturing QC — TensorFlow Lite models deployed on Pi 5 and ESP32-S3 — compare inference time, accuracy and power for image classification.
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