Pi 5 Crowd Counter Kit
Raspberry Pi 5 Crowd Counter Kit: Deploy AI Person Detection for Occupancy Monitoring
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Imagine a device that watches a doorway and instantly updates an OLED screen with the number of people inside — no cloud, no lag, just edge AI on Raspberry Pi 5. You’ll build exactly that with the Crowd Counter Kit, transforming a Pi Camera Module 3 feed into a real‑time occupancy tally using YOLOv8 person detection. This is edge computing brought to life, perfect for monitoring classroom limits, lab access, or small event spaces.
What You'll Build
A fully functional people counter that connects a Pi Camera Module 3 to YOLOv8 running on Raspberry Pi 5’s ARM cores and hardware‑accelerated backend. Detected persons are tallied, and the live count appears on a crisp 0.96‑inch OLED display. Every time someone enters or exits, the number updates instantly — a self‑contained occupancy sensor you can mount in minutes.
What You'll Learn
- Install and configure YOLOv8 on Raspberry Pi 5 with Ultralytics and optimise it for the Cortex‑A76 architecture
- Integrate Pi Camera Module 3 to capture 30 fps video and feed frames directly into the inference pipeline
- Build a Python pipeline that processes detection output, maintains an accurate count, and drives an OLED over I2C
- Set up NVMe SSD storage via the Pi 5 M.2 HAT+ for high‑speed model loading and video footage retention
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| Pi Camera Module 3 | 1 |
| 0.96in OLED Display | 1 |
| NVMe SSD 128GB | 1 |
| Raspberry Pi 5 M.2 HAT+ | 1 |
| USB-C Power Supply | 1 |
| Male-to-Male Jumper Wires | 10 |
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
Ideal for B.Tech ECE, EEE, and CSE students undertaking edge AI mini‑projects, CBSE Class 12 learners exploring AI in computer science practicals, and Smart India Hackathon teams building smart campus occupancy solutions. It’s also a perfect rapid‑prototyping tool for ATL Tinkering Labs that have graduated beyond beginner Arduino kits.
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 walks you through each step interactively, and you can send a WhatsApp message for human backup. We answer most questions within an hour during India business hours.
Do I need to know Python to complete this kit?
Basic Python familiarity helps, but the AI companion explains every line of code and offers copy‑paste snippets. Absolute beginners have completed the build by following the guided walkthrough.
Can this counter work outdoors or in a crowded hallway?
The YOLOv8n model handles moderate density and typical indoor lighting well. For doorways with up to 5–6 people visible at once, accuracy stays high. For very crowded outdoor scenes, consider repositioning the camera to narrow the field of view.
How is the AI model loaded on the Raspberry Pi 5?
The included NVMe SSD comes pre‑flashed with the Ultralytics environment. The AI companion provides a one‑click script that downloads the YOLOv8n weights and launches the counting pipeline — no manual dependency hunting.
YOLOv8 person detector counts people in frame on Pi 5 and displays count on OLED — useful for occupancy monitoring.
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