Project: Zolitron

Zolitron - The IoT company

Current workplace. Container tracking, filling level sensors and route optimization to improve waste disposal processes with AI.

Example picture


Container management with IoT sensors collecting vibration data for calculated filling levels as well as route optimization for waste collection fleets. As head of the customer cloud frontend I planned and developed features with various technologies such as;

  • Vue.Js frontend
  • Spring Boot backend
  • Express.js backend
  • Docker containerization
  • Kubernetes orchestration
  • OTC cloud services
  • Figma for UI/UX

Container tracking

Powered by a solar cell for maintenance-free operation, the Z-Node sends several data points every day via NB-IoT, LTE-M, and GSM. It sends near real-time position updates and detects container movement and vibrations which are fed into an AI to calculate fill levels and status.


Filling level sensors

Data collected from the Z-Node is visualized in the Z-Cloud. A data-driven frontend allows users to monitor the fill levels, status and manage the containers. Routes for waste collection can be planned using map interactions.


Route optimization

Artificial intelligence calculates routes taking into account the collected fill levels, location types, calendar data, climate data and the time of year. Routes are editable in real time on the map using the Z-Cloud frontend.



Smart waste management with Z-Tag. Track bins, record fill levels with the Zolitron app, and optimize cleaning routes for more efficient resource usage. QR codes are also deployd for several cities to encourage citizens to collect data about public waste bins and their status.

Zolitron Z-Tag