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Capstone8 months · 2025–2026

Automated Rotating Cat Litter Box

Designed and validated a multi-sensor embedded system with calibration, noise analysis, and threshold tuning to achieve reliable real-time detection.

Automated Rotating Cat Litter Box
Role
Embedded Systems & Test Lead
Duration
8 months · 2025–2026
Team
5 Students (Mechanical & Mechatronics)

/Problem

Existing automated litter boxes either misfire (rotating while occupied) or fail to detect smaller animals. The system required a deterministic detection stack robust to vibration, lighting, and litter dust — without relying on expensive vision systems.

/Approach

  1. 01Specified a multi-sensor fusion stack: HX711 load cells for mass, an IR break-beam array for occupancy, and Hall-effect sensors for drum position.
  2. 02Implemented an ESP32-based firmware state machine (IDLE → OCCUPIED → SETTLE → CLEAN → DUMP) with debounced transitions and watchdog safety timers.
  3. 03Developed a calibration procedure using reference weights and statistical noise characterization (σ, drift, hysteresis) for each sensor.
  4. 04Tuned detection thresholds with logged real-world data to achieve high true-positive and near-zero false-trigger rates.

/Results

  • False-trigger rate driven to <1% across 200+ test cycles.
  • Detection latency < 400 ms from entry to OCCUPIED state.
  • Achieved BOM within target budget; design documented for manufacturability.