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Wildlife Camera Trap Pro Kit with Raspberry Pi 4 + Camera
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Wildlife Camera Trap Pro Kit with Raspberry Pi 4 + Camera

SKU: CDN-KIT-4212 Brand: Compoden Category: Electronics > Edge AI & Computer Vision > Project Kits
Rs. 23,900.00
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Wildlife Camera Trap Pro Kit — Real-Time AI Animal Detection on Raspberry Pi 4

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Difficulty: Intermediate Build Time: 4-5 hrs Age: 16-21 Skill: Deploying Edge AI models on Raspberry Pi

Wildlife researchers and conservation enthusiasts regularly face the challenge of monitoring animal movement without constant human presence. This kit lets you build a fully autonomous camera trap that uses computer vision to identify species the moment they appear—no cloud connection, no latency. The Google Coral USB Accelerator offloads neural network inference from the Pi 4’s CPU, delivering real-time object detection up to 100 times faster than running the same model on the processor alone.

What You'll Build

You will assemble a battery‑friendly, motion‑triggered imaging system that captures photos when an animal crosses its field of view and instantly runs a pre‑loaded MobileNet or EfficientNet model. The result is a rugged, field‑ready device capable of telling a spotted deer from a stray dog and logging each detection to the onboard storage. The entire pipeline—image capture, TensorFlow Lite inference, and result annotation—happens on the edge, exactly where you need it.

What You'll Learn

  • Installing and optimizing TensorFlow Lite runtime on Raspberry Pi 4
  • Configuring the Google Coral USB Accelerator for hardware‑accelerated inference
  • Converting and benchmarking custom TFLite models (MobileNet, EfficientNet) for the Edge TPU
  • Integrating Pi Camera Module 2 with a real‑time detection loop and saving annotated results

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

If you are a B.Tech ECE or CSE student working on a wildlife conservation project, a Smart India Hackathon participant needing a reliable edge‑AI prototype, or an ATL tinkering mentor demonstrating real‑world computer vision, this kit fits your timeline. It’s also ideal for wildlife researchers from institutes like IIT, NIT, VIT, or BITS who want portable, AI‑driven camera traps without stitching together incompatible components.

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 inside the box to launch the AI companion, which offers real‑time guidance. You can also reach our team directly on WhatsApp for manual troubleshooting.

Can I train the trap to recognize a specific animal not in the pre‑loaded model?

Absolutely. You can collect images of your target species, perform transfer learning, and compile the resulting TFLite model for the Coral Edge TPU. The AI companion walks you through the conversion steps.

Will this kit work without a wall outlet in the field?

Yes. The Raspberry Pi 4 can be powered by any standard USB‑C power bank, making it fully portable for overnight or remote deployments.

Do I need prior experience with Python or Linux?

Familiarity with basic Python is helpful, but the AI companion provides copy‑paste commands and explains every configuration file. Many intermediate builders complete their first detection within 4–5 hours.

Wildlife — Google Coral USB Edge TPU runs MobileNet, EfficientNet and custom TFLite models on Pi 4 — 100x faster than CPU inference.

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

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