AirLoo
IoT sanitation monitoring system using ESP32 microcontrollers, real-time Firestore heatmaps, and threshold alerts.
The Problem
Public sanitation maintenance operated on rigid time schedules rather than actual foot-traffic usage data, causing both inefficient cleaning cycles and unserviced surges.
The Solution
AirLoo deploys ESP32 sensor hardware to stream real-time usage data to Firebase Firestore, rendering live demand heatmaps and triggering automated cleaning alerts.
Research
Analyzing foot-traffic trends over time proved more valuable for scheduling than instantaneous sensor triggers.
Development
ESP32 firmware written in C++ streaming telemetry over Wi-Fi to Cloud Firestore, consumed by a Vue.js analytics dashboard.
Challenges
Hardening hardware enclosures and power management to survive demanding real-world environments.
Outcome
Functional hardware prototype and telemetry dashboard operating in test environments.
Lessons
Hardware engineering demands strict fault-tolerant design; physical devices must self-recover from connectivity drops.