GPS collars track elephants, camera traps with AI detect humans in restricted zones, acoustic sensors listen for gunshots — the multi-layered IoT network protecting Mozambique's wildlife in real time.
Technology Meets Conservation
In Gorongosa National Park, an elephant wearing a GPS collar walks through the floodplain at dawn. The collar pings her location every 30 minutes. Simultaneously, a camera trap at a nearby waterhole captures an image — edge AI on the device identifies two elephants and zero humans. An environmental sensor reports water levels at 67%.
This data streams to nendeni.com's IoT Conservation Dashboard, where it becomes three things:
- Real-time intelligence for park rangers
- Public-facing conservation data for travelers and donors
- Anti-poaching alerts when anomalies are detected
GPS Collar Telemetry
GPS collars track the movement of priority species — elephants, lions, and African wild dogs. Each collar transmits:
- Location: Latitude/longitude every 30 minutes
- Activity level: Accelerometer data showing movement intensity
- Temperature: Environmental temperature at the animal's location
- Battery level: For maintenance scheduling
The data reveals migration patterns, habitat use, and social behavior. When an animal stops moving for 6+ hours, the system generates a collar immobility alert — possible injury, natural death, or poaching.
Camera Traps with AI
100 camera traps across Gorongosa and Niassa capture images day and night. Each trap runs edge AI image classification — identifying species in the image without needing to upload to a server. The AI distinguishes:
- Wildlife species (elephant, lion, buffalo, leopard, wild dog)
- Humans (potential poaching indicators)
- Vehicles (authorized vs unauthorized)
When a human is detected in a restricted zone, the system generates a CRITICAL alert with the image, location, and time — dispatched to ranger patrols within seconds.
Environmental Sensors
30 environmental sensors monitor:
- Water hole levels: Critical during dry season — low water triggers supplemental water delivery
- Temperature: Climate tracking for ecosystem health
- Humidity: Fire risk assessment
- Acoustic sensors: Detect gunshots — the signature of poaching activity
When an acoustic sensor detects a gunshot (confidence > 85%), the system generates a CRITICAL alert with exact coordinates, dispatched immediately to the nearest ranger patrol.
Anti-Poaching Impact
The combination of GPS collars, camera traps, and acoustic sensors creates a multi-layered anti-poaching network:
- Deterrence: Poachers who know cameras and sensors are present are less likely to enter
- Detection: Camera traps catch humans in restricted zones; acoustic sensors catch gunshots
- Response: Real-time alerts with coordinates enable rapid ranger deployment
- Evidence: Camera trap images and on-chain records provide evidence for prosecution
What Travelers See
The conservation dashboard on nendeni.com shows travelers:
- Wildlife they might see: Based on recent GPS collar data showing animal locations
- Water hole status: Which water holes have water (and therefore wildlife)
- Recent sightings: Camera trap photos of animals captured in the last 24 hours
- Conservation alerts: Anonymized, non-sensitive alerts showing the system is active
This transforms the safari experience. Instead of hoping to see animals, travelers can see real-time data about where animals have been tracked, increasing sighting probability and deepening the connection between tourism and conservation.
The Bigger Picture
Every IoT sensor is a guardian. Every data point is evidence. Every alert is a life saved. This is what "smart conservation" looks like — not a concept or a proposal, but a working system protecting Mozambique's wildlife in real time.