Smart Doorbell Camera Pro Kit with Raspberry Pi 4 + Camera
Smart Doorbell Camera Pro Kit with Raspberry Pi 4 & Coral USB — Edge AI Object Detection System
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Transform a Raspberry Pi 4 into a real-time smart doorbell camera that identifies visitors, packages, and potential intruders. Using the Google Coral USB Accelerator and an SSD MobileNet model, the system detects 90 object classes with near-instant latency — and you learn to benchmark that performance down to the millisecond. This isn't just a build; it's a hands-on edge AI lab for your desk.
What You'll Build
You’ll assemble a functioning smart doorbell camera that captures live video from the Pi Camera Module 2, processes it through the Coral USB Accelerator, and overlays bounding boxes with class labels on the feed. You can view the output on a monitor or stream it across your local network. The project culminates in a detailed latency benchmarking report, measuring inference time under various model configurations.
What You'll Learn
- Installing and configuring the Google Coral Edge TPU runtime on Raspberry Pi OS Bullseye
- Deploying an SSD MobileNet v2 model for real-time, multi-class object detection
- Integrating the Pi Camera Module 2 for low-latency frame capture and inference overlay
- Measuring end-to-end inference latency using Python profiling tools and interpreting the results to optimise throughput
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 4 Model B 4GB | 1 |
| Coral USB Accelerator | 1 |
| Pi Camera Module 2 | 1 |
| MicroSD Card 32GB | 1 |
| USB-C PSU | 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
Ideal for intermediate-level makers and engineering students aged 16–21. If you are a B.Tech ECE/EEE undergraduate prototyping for Smart India Hackathon, a CBSE Class 12 student diving into AI, or a hobbyist from IIT/NIT/VIT/BITS working on an edge computer vision project, this kit delivers a structured, learn-as-you-build experience. ATL Tinkering Labs will also find it valuable for advanced workshops on embedded AI and performance benchmarking.
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 to launch the AI companion tailored to this kit. It can walk you through each step, diagnose errors, and suggest fixes. Alternatively, you can reach us on WhatsApp for human assistance.
What is the typical inference latency I can achieve with this setup?
With the Coral USB Accelerator, you can expect inference times of 3–5 ms for SSD MobileNet v2 at 300×300 input, enabling 30+ FPS video processing on the Raspberry Pi 4. The kit includes a benchmarking script to measure and visualise this yourself.
Can I display the camera feed with detection overlays on my phone or laptop?
Yes, the included build guide explains how to stream the processed video via a simple Flask web server. You can then view it on any device connected to the same local network using a web browser.
Is the Coral USB Accelerator compatible with other single-board computers like NVIDIA Jetson or Orange Pi?
The Coral USB Accelerator works with any Linux-based system that has a free USB 3.0 port. However, this kit’s software and AI companion are optimised specifically for the Raspberry Pi 4 Model B, so for other boards you’ll need to source the appropriate SDK and drivers separately.
Doorbell Security — SSD MobileNet on Google Coral USB detects 90 object classes at near real-time speeds on Pi 4 — latency benchmarking lab.
What's in this kit
- Raspberry Pi 4 Model B 4GB
- Coral USB Accelerator
- Pi Camera Module 2
- MicroSD Card 32GB
- USB-C PSU
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