YOLOv8 Retail Analytics Kit - Docker on Arduino Portenta X8
Deploy YOLOv8 in Docker on Portenta X8 to Track Dwell Time with LED Zone Indicators
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Bring computer vision deep into retail shelves without cloud dependencies. This kit puts YOLOv8 object detection inside a Docker container running on the Portenta X8's Cortex-A53 Linux core, while the onboard M4 manages a strip of programmable LEDs to display zone-specific dwell times. You'll assemble a DIN-rail-mounted appliance that monitors customer presence in up to four product zones, logging timestamps and controlling LED colours in real time - think green for low engagement, yellow for moderate, red for high.
What You'll Build
An industrial-grade computer vision node that counts how long a shopper lingers in front of predefined shelf zones. The Portenta Vision Shield captures frames, YOLOv8 identifies people, and a Python script in Docker maps bounding-box coordinates to shelf zones, accumulating dwell seconds. The M4 core then drives a WS2812B LED strip to glow according to preset thresholds, while an RTC-logged MicroSD records all events for later analytics.
What You'll Learn
- Containerise a full YOLOv8 inference pipeline with Docker on an ARM Linux SoC
- Bridge high-level Python (A53) with real-time M4 core for LED control
- Configure zone-based person detection and dwell-time algorithms
- Package the entire project into a DIN-rail enclosure for retail deployment
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Portenta X8 | 1 |
| Portenta Vision Shield | 1 |
| Portenta Max Carrier | 1 |
| WS2812B 30-LED Strip | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| LM2596 Buck Converter | 1 |
| 470? Resistors | 5 |
| 100nF Caps | 10 |
| PCB Prototype Board | 3 |
| DIN Rail Enclosure | 1 |
| 24V 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 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
Engineers and developers tackling final-year B.Tech projects in AI and IoT, Smart India Hackathon teams building retail tech solutions, or professionals prototyping containerised vision appliances. If you're comfortable with a Linux terminal and want to show recruiters a production-ready computer vision system, this kit gives you the exact hardware and AI-guided build path.
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 walks you through each step. For trickier issues, WhatsApp our support team - we've solved this project many times.
Do I need prior Docker experience?
No. The AI companion includes a guided Docker setup for the Portenta X8. Basic Linux command-line familiarity helps, but every command is explained.
Can I change the number of zones or the dwell-time thresholds?
Absolutely. The Python configuration file lets you define zone coordinates in the frame, set LED colours per threshold, and adjust dwell-time bins. The AI companion explains how to recalibrate for your shelf.
Is this kit suitable for a B.Tech final-year project?
Yes, it ticks multiple hot areas - computer vision, IoT, real-time embedded systems, and industrial packaging - making it a strong demonstration for ECE, CSE, or EEE submissions.
YOLOv8 in Docker on X8 A53 counts customer dwell time per product zone. M4 drives LED zone indicators.
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