Waste-Management System Rides Narrowband IoT Network

Sensoneo announces its readiness for the US’ first nationwide narrowband IoT network, which was launched by T-Mobile on July 19, 2018. The company has been testing its smart waste fill-level sensors in several locations across the USA to ensure 100% readiness of the devices once the IoT network goes live. 


As stated by T-Mobile, “NB-IoT is a low power, wide area network LTE-Advanced tech that offers benefits like low power usage, long battery life, and low device cost.” In addition to the NBIoT network, the Sensoneo solution is also compatible with other currently available IoT networks including Sigfox, LoRaWAN, BLE, and CAT-M. 

Fierce AI Week

Register today for Fierce AI Week - a free virtual event | August 10-12

Advances in AI and Machine Learning are adding an unprecedented level of intelligence to everything through capabilities such as speech processing and image & facial recognition. An essential event for design engineers and AI professionals, Engineering AI sessions during Fierce AI Week explore some of the most innovative real-world applications today, the technological advances that are accelerating adoption of AI and Machine Learning, and what the future holds for this game-changing technology.


The Sensoneo system for smart waste management was developed in 2014. The company develops and produces several variants of inhouse-produced fill-level smart sensors that are able to monitor any type of waste in any type of bin. Fill-level information is transferred via all currently available IoT networks (or GRPS/GSM) to Sensoneo software, where it is used to provide users with data-driven decision making and the optimization of waste collection routes, frequencies, and vehicle load. The Citizen app is a free mobile application that informs citizens of the nearest available empty bin, type of waste, actual fill-level, and directions.  For more info, visit Sensoneo.

Suggested Articles

Silicon Labs is providing the BT module needed for detecting proximity with another Maggy device

Test automation won't fix everything, but can help, according to an automation engineer. Here are five problems to avoi to improve chances of success

Many of Nvidia’s competitors also use Arm designs, and are sure to object to the deal