Pi 5 Edge AI Power Monitor Kit
Pi 5 Edge AI Power Monitor Kit: Profile Every Milliwatt of Inference
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Deploying a TensorFlow Lite model on Raspberry Pi 5? Know exactly how much energy each inference consumes with this purpose‑built power monitoring kit. The INA226 sensor captures real‑time current and voltage, while the OLED displays live power draw, helping you optimize your computer vision or sensor‑fusion models. This kit turns the Pi 5 into an accurate, portable energy profiler for any TFLite workload.
What You'll Build
You’ll assemble a complete power monitoring system that measures current and voltage during TensorFlow Lite inference, logging data for later analysis. The OLED shows real‑time milliwatts, and the NVMe storage lets you record hours of profiling sessions, giving you a lab‑grade instrument to benchmark model efficiency.
What You'll Learn
- How to interface the INA226 power sensor over I2C and interpret real‑time current/voltage data
- Deploying TFLite models on Raspberry Pi 5 and triggering inference cycles while sampling power
- Logging structured power data to NVMe SSD and visualizing trends
- Building a standalone instrument with OLED display for portable edge AI benchmarking
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| INA226 Power Monitor | 1 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| 0.96in OLED Display | 1 |
| USB-C Power Supply | 1 |
| Male-to-Male Jumper Wires | 15 |
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 ideal for B.Tech ECE and CSE students building energy‑aware edge AI systems, for CBSE Class 12 students exploring AI internships, and for Smart India Hackathon teams needing to profile model efficiency. If you’re at VIT, NIT, or IIT working on a computer vision capstone, the precision of INA226 and the Pi 5’s performance make it a reliable measurement tool.
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?
Our AI companion provides real‑time debugging specific to this kit, and you can also reach us on WhatsApp for human help.
Do I need prior experience with TensorFlow Lite?
Basic familiarity with Python and Raspberry Pi is helpful, but the AI companion walks you through model deployment and power measurement step by step. No prior TFLite experience needed.
Can I profile models other than computer vision?
Absolutely. The power monitor works with any TFLite model — object detection, pose estimation, audio classification. You’ll learn to adapt the profiling script for your own model.
Is the NVMe SSD necessary?
It’s recommended for fast, high‑volume data logging during long profiling runs. The M.2 HAT+ ensures a stable, high‑speed storage pipeline without bottlenecks.
INA226 measures current and voltage while TFLite models run on Pi 5 — profiles power consumption per inference task.
What's in this kit
- Raspberry Pi 5 4GB
- INA226 Power Monitor
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- 0.96in OLED
- USB-C PSU
- M-M Wires x15
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