Wildlife Camera Trap Kit v7
Wildlife Camera Trap Kit v7 – An Autonomous Robot That Sees Heat for Wildlife Tracking and Disaster Search
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit transforms a Raspberry Pi 5 into a self-driving robot that can detect human heat signatures. Originally designed as a wildlife camera trap, the onboard YOLOv8 model and AMG8833 thermal sensor let the same robot sweep a collapsed structure or forested area, locating people even in complete darkness. Build it for wildlife monitoring, then reprogram it for a Smart India Hackathon disaster‑response challenge.
What You'll Build
You assemble a four‑wheel autonomous rover with RPLidar A1 navigation. It streams thermal and RGB camera feeds to the Pi 5, running a YOLOv8 object detection model trained to flag human‑shaped heat blobs. When a target is confirmed, the robot stops, logs GPS‑tagged evidence to the NVMe SSD, and can send an alert. The same hardware works perfectly as a motion‑triggered wildlife camera that ignores foliage and only captures warm‑blooded animals.
What You'll Learn
- Process AMG8833 8×8 thermal array data in Python
- Deploy a custom YOLOv8 model on Raspberry Pi 5 for real‑time object detection
- Fuse lidar scans with motor control to create autonomous obstacle avoidance
- Configure high‑speed storage for continuous video and sensor logs
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| AMG8833 Thermal Sensor | 1 |
| Pi Camera Module 3 | 1 |
| RPLidar A1 | 1 |
| Cytron Motor Driver | 1 |
| DC Motor | 2 |
| Robot Chassis | 1 |
| NVMe SSD 256GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 20 |
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
CBSE Class 11‑12 students exploring embedded vision will find the thermal‑camera integration challenging but achievable. B.Tech ECE/EEE and IIT/NIT/VIT/BITS engineering teams use this kit for Smart India Hackathon projects on disaster response. ATL Tinkering Labs and wildlife researchers also value it as a powerful, adaptable camera trap that doesn’t depend on visible light.
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 open the AI build companion; it recognises your kit version and can answer specific wiring and coding questions. You can also share photos over WhatsApp for direct help.
Can this robot be used only for wildlife monitoring, without the disaster‑response code?
Absolutely. There is a dedicated Python script that uses the thermal sensor and Pi Camera Module 3 as a motion‑triggered camera trap, logging only warm‑blooded animals to the SSD while ignoring moving branches.
How does the robot avoid obstacles during autonomous search?
The RPLidar A1 generates a 2D scan of the environment; our provided ROS 2 node fuses this with motor commands so the robot can navigate around debris or walls without remote control.
Is the AMG8833 sensitive enough to detect a human outdoors on a hot day?
The sensor detects surface temperature differences. In very hot conditions, a person standing against a similarly warm background may need the YOLOv8 model to confirm the shape. Our AI companion includes tips for tuning the detection threshold based on ambient temperature.
Wildlife — Thermal camera and YOLOv8 on Pi 5 detect human heat signatures — autonomous robot searches a disaster scenario area.
What's in this kit
- Raspberry Pi 5 4GB
- AMG8833 Thermal Sensor
- Pi Camera Module 3
- RPLidar A1
- Cytron Motor Driver
- DC Motor x2
- Robot Chassis
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- USB-C PSU
- M-M Wires x20
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