Healthcare Waste Monitoring & Robotics
In a hospital, uncollected waste is an operational and safety problem, not simply a dashboard number. I explored how ward-by-ward monitoring, alerts and collection coordination could give operators a clearer view of what needs to happen, while experimenting with hardware-driven collection.
Brought ward monitoring, alerts and collection decisions into one operational prototype.
My role: Project developer across operations software and connected devices
The challenge
Without a common view of fill levels, bin conditions and collection activity, staff must rely on fragmented checks. Connecting sensors and a mobile collector adds another challenge: what the machine reports must be understandable and actionable by a person.
The part I led
I developed both the monitoring interface and the backend behind ward status, alerts, collection priorities and robot controls. The project also involved experiments with Raspberry Pi agents, sensors, navigation, camera feeds and communication with devices.
The result
The result is an operational prototype that brings together real-time-style ward information, collection scheduling, status and device-control experiments. Some inputs and robotics behavior remain simulated or exploratory, so this is not described as an autonomously deployed hospital fleet or a measured reduction in waste collection costs.
The decisions and work behind it
- Built ward-focused monitoring so an operator can identify bins and locations requiring attention, rather than reading disconnected sensor logs.
- Connected status updates, alert history and collection priorities to decisions about what to collect next.
- Explored scheduling, robot control and return-to-base operations as part of one collection workflow.
- Worked across browser, server and device-facing code to bridge the gap between physical sensor events and operational actions.