Sensoneo
29 Case Studies
A Sensoneo Case Study
The City of Reykjavik needed a reliable, data-driven method to monitor street bin fill levels to optimize waste collection routes, reduce unnecessary pick-ups, and improve overall operational efficiency. To address this challenge, they partnered with vendor Sensoneo.
Sensoneo implemented its Single Sensors 3.0 in 250 street containers, utilizing NB-IoT and LoRaWAN connectivity for real-time monitoring. This solution provided the city with the data needed to optimize collection routes, which minimized operational costs and improved sustainability by reducing fuel consumption and CO₂ emissions.