Hello WILDLABS Community!
I’d like to share an open-source, non-commercial concept that could be useful for conservation teams, rangers, or students working with wildlife monitoring in remote areas:
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## What is SwarmGuard?
SwarmGuard is a **modular, ultra-low-cost, solar-powered mesh of autonomous sensor nodes** designed to detect poaching threats like:
- Gunshots
- Predator roars
- Human speech or presence
Each node is small, quiet, and smart — like a tiny forest sentinel that wakes up when something dangerous happens.
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## Core Components (per node):
- **ESP32-CAM**: microcontroller + camera (or ESP32-WROOM for cheaper audio-only nodes)
- **MAX9814**: high-gain microphone with automatic level control
- **SX1278 LoRa module**: for long-range, low-power communication
- **TP4056**: battery charge controller
- **18650 Li-ion battery**
- **5V solar panel (~120–200 mA)**
- **Waterproof plastic enclosure (IP65)**
Total cost per node:
- With camera: ~$35–40 USD
- Without camera (basic audio relay): ~$20–25 USD
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## How it works:
- Node stays in **deep sleep** (uses <1 mA)
- **Wakes up on sound threshold**
- TinyML model classifies sound (gunshot, roar, voice, wind, etc.)
- If confirmed → takes a photo (optional), stores event, and sends **LoRa alert**
- Signal hops from node to node until it reaches:
- base station (with LoRa → WiFi bridge),
- relay drone,
- or GSM gateway
Nodes can also periodically transmit:
- Battery level
- Noise levels
- Presence history
- Coordinates (if GPS module added)
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## Smart Ideas:
- Combine **"cheap relay nodes"** (no camera) with **"photo nodes"** in strategic spots
- Drop cheap nodes from drones or throw into bushes — they form a mesh
- Central server can **analyze trends**, filter false positives, re-train models
- Whole network is **resilient** — if one node fails, others keep working
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## Use Cases:
- Forests with limited human access
- Wildlife corridors or buffer zones
- Parks with limited ranger staff
- Cross-border patrol zones
- Anti-poaching operations for rhinos, tigers, elephants, etc.
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## Pros:
- Very low cost — mass deployable
- Fully solar-powered, autonomous
- Smart sound detection (gunshot, roar, speech)
- Mesh networking via LoRa (no internet needed)
- Optional camera capture
- Open-source hardware + firmware
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## Limitations:
- LoRa range can vary (trees, hills affect it)
- Cheap plastic case may degrade without weatherproofing
- TinyML model needs fine-tuning for specific regions
- No GPS by default (can be added if needed)
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## ❤️ Why share this?
This is not a commercial product — just an open idea.
If someone out there can save animals, track threats, or scale this up — I’m happy to contribute, collaborate, or hand over everything.
If you want help with:
- PCB layouts
- Arduino/PlatformIO firmware
- Edge Impulse training setup
- Wiring diagrams
…I’ll be happy to assist.
Let’s build a quiet, invisible mesh that watches over the wild — and helps those who can’t ask for help themselves. 🐘🕊🌱
If you find this idea useful, interesting, or if you end up building anything based on SwarmGuard — I’d truly love to hear about it.
Please feel free to message me here, or email me at:
📩 alex21259alex@gmail.com
Let’s protect wildlife together.
– Aleksey (Russia)
17 June 2025 4:56pm
Hi Aleksey, thanks for sharing this! We'd love to see you add SwarmGuard to The Inventory, our wiki-style database of conservation tech products, R&D projects, and organizations. To learn about how to add SwarmGuard to The Inventory, read the user guide my colleague @JakeBurton created. Reach out to either one of us with questions!
21 July 2025 2:41pm
Good morning Aleksey,
Your idea is very similar to an idea I had -- I guess we are experiencing some convergent evolution. I'd be very interested in understanding your project more. I'd be curious to know if you've done much testing with Lora and dense foliage. I'm just curious to know if you've hit any real limitations. Reading your description, it sounds like perhaps you are using some mesh networking. Anyway -- it's nice to meet you and see we had similar ideas.
Chris
Alex Rood
WILDLABS
World Wide Fund for Nature/ World Wildlife Fund (WWF)