Kitchen waste sorts itself, compost is monitored every minute.

An AI camera recognizes discarded vegetables, fruit, carbohydrates, and protein. An ultrasonic sensor tracks each bin's fill level, while other sensors keep compost temperature, humidity, and pH in check.

0 timesorganic waste sorted today

From bin to compost, in four steps.

Nothing needs manual notes. Every step is recorded automatically and appears on the dashboard.

Waste is dropped

Food scraps go into one of three bins according to their type.

AI recognizes

A camera on each bin classifies objects and flags anything misplaced.

Volume is tracked

An ultrasonic sensor measures each bin's fill level, and an alert appears when it is nearly full.

Compost is monitored

Temperature, humidity, and pH sensors keep the process within the optimal range.

Everything managers need to know, on a single screen.

Sorting monitoring

The share of waste detected and sorted, not yet sorted, and unrecognized.

Waste type composition

A chart of vegetables & fruit, carbohydrates, and protein for today or the last 7 days.

Bin volume

Each bin's fill level as a percentage from the ultrasonic sensor, with Normal, Almost full, or Full status.

Compost condition

Temperature, humidity, and pH charts updated automatically from sensors in the compost room.

History and export

Filter detection data by date, type, bin, or status, then download it as CSV.

Daily reports

A 7-day summary: total waste, compost produced, AI accuracy, and conversion ratio. Print-ready.

Three bins, three groups of waste.

Separating from the start keeps compost more balanced and easier to manage.

Bin A — Vegetables and fruit — **Bin A**Vegetables and fruit

Bin B — Carbohydrates and grains — **Bin B**Carbohydrates and grains

Bin C — Protein and animal products — **Bin C**Protein and animal products

Devices send data through one simple endpoint.

Camera + AI on each bin for waste classification.
Ultrasonic sensor for each bin's fill level/volume.
Temperature, humidity, and pH sensors in the compost area.
ESP32 or Raspberry Pi as a gateway, sending JSON to a PHP and MySQL server.

// POST /api/ingest.php
{
  "device_key": "api_key_perangkat",
  "suhu": 28.4,
  "kelembapan": 72.3,
  "ph": 6.8
}

// or AI detection result
{
  "device_key": "api_key_perangkat",
  "jenis": "sayuran",
  "berat_kg": 0.8,
  "akurasi": 98.2,
  "status": "terpilah"
}

// or bin volume level (ultrasonic sensor)
{
  "device_key": "api_key_perangkat",
  "bin": "A",
  "volume": 68
}