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SATRIA

Telling a rat from a shadow at two in the morning, on solar power.

SATRIA
Role
AI & IoT Engineer
Year
2026
Stack
YOLO · TinyML · ESP32 · Python · MQTT

Overview

A solar-powered camera trap for rice fields: an infrared sensor wakes the camera, a YOLO model decides whether what walked past was a rat, and the result lands on a dashboard the farmer can read from a phone.

The problem

Rodent damage gets noticed after the harvest is already short. Counting the problem means being in the field at night, repeatedly, which nobody has time to do.

What I built

  • A field unit built on ESP32 with PIR and infrared capture, running on solar
  • On-device detection tuned for night, glare, and motion blur
  • Real-time sensor monitoring and remote device control from the dashboard
  • Interactive data visualisation with automatic alerts when activity spikes

Outcome

The hard part was never the model — it was keeping recall high on grainy infrared frames while the whole unit stays inside a solar power budget. That trade-off is still where the work is.

Next project

Teleradiologi AI