Smart Doorbell Camera Kit - Pi 5 vs ESP32-S3 AI Edge Benchmark
Smart Doorbell Camera Kit - Compare Pi 5 & ESP32-S3 AI Inference at the Edge
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 role of a deep learning engineer and build a smart doorbell camera that runs image classification at the edge. This kit pits Raspberry Pi 5 against ESP32-S3 - you'll deploy identical TensorFlow Lite models, then measure inference time, accuracy, and power consumption to produce a detailed benchmark report alongside a working doorbell prototype.
What You'll Build
You'll assemble a functional security system: a Pi Camera Module 3 streams to the Pi 5 for high-accuracy person detection, while the OV2640 feeds the ESP32-S3 for ultra-low-power inference. The kit includes an NVMe SSD to log captured images and benchmark results, turning your workbench into a real-world test bed that mimics industrial edge AI pipelines.
What You'll Learn
- Deploy TensorFlow Lite models on Raspberry Pi 5 and ESP32-S3
- Measure and compare inference speed, accuracy, and power draw using professional benchmarking tools
- Interface Pi Camera Module 3 and OV2640 camera sensors with respective boards
- Build an end-to-end IoT doorbell prototype with image logging and alerting
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | x1 |
| ESP32-S3 Dev Board | x1 |
| OV2640 Camera | x1 |
| Pi Camera Module 3 | x1 |
| NVMe SSD 256GB | x1 |
| Pi 5 M.2 HAT+ | x1 |
| USB-C PSU | x1 |
| MicroUSB Cable | x1 |
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 and EEE students at IITs, NITs, VIT, and BITS Pilani working on final-year projects or Smart India Hackathon prototypes. Engineering lab classrooms exploring edge AI will find the ready-to-compare dual-platform setup cuts weeks from course preparation. Makers with intermediate Python and electronics skills who want tangible benchmarking experience will thrive.
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 on this exact build. If you need human help, WhatsApp our support team - we respond within hours.
Can I use this kit for a college mini project?
Yes, this kit is perfect for advanced mini projects and final-year engineering projects in ECE, EEE, and CSE streams. The comparative benchmark and working prototype make for strong viva submissions.
Which platform is better for real-time doorbell detection?
The kit lets you decide. The Pi 5 delivers higher accuracy and faster inference with a larger model, while the ESP32-S3 offers lower power consumption. The AI companion walks you through benchmarking both.
Do I need prior AI/ML experience?
Some familiarity with Python and basic electronics is recommended. The kit includes pre-trained TensorFlow Lite models and setup scripts, but you'll be diving deep into model optimization and hardware comparison - ideal for learners with intermediate to advanced skills.
Doorbell Security - 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