That’s a great question. Collecting data from a smart public waste bin isn’t as complicated as it sounds, but it does require a combination of hardware, connectivity, and backend software. Let me walk you through how it actually works in practice.
First, the core of data collection comes from sensors installed inside the bin. The most common sensor is an ultrasonic or infrared fill-level sensor, which measures how much space is left in the bin. These sensors send real-time data—like “80% full” or “empty”—to a microcontroller. Some bins also include weight sensors (load cells) to track the total waste mass, which helps distinguish between light and dense waste.
Second, the microcontroller processes these raw readings and packages them into short data packets. These packets are then transmitted via a cellular network (like 4G LTE or NB-IoT), LoRaWAN, or even Wi-Fi, depending on the bin’s location and power constraints. For outdoor bins, LoRaWAN is popular because it’s low-power and covers long distances.
The third layer is the cloud platform. Once the server receives the data, it logs timestamps, fill levels, and sometimes battery status. From there, the system calculates usage trends—for example, how often the bin fills up during lunch hours versus late night. Some advanced systems even track user interaction, like whether the bin lid was opened through a touchless sensor or a pedal, which tells us how frequently people are using it.
Finally, all this data is visualized on a dashboard. Fleet managers can see at a glance which bins need emptying soon, and the analytics can suggest optimal collection routes. For deeper insights, we might correlate usage data with weather, local events, or foot traffic.
So, to answer your question directly: we collect data by measuring how full the bin is, how much it weighs, and how often it’s accessed, then wirelessly send that information to the cloud for processing and action. It’s basically a smart, self-reporting trash can.