Apollon-Q T/R/TR general description

Are you looking for the general description of the Apollon-Q T/R/TR level sensor?

Here you will find a general description of the Apollon-Q T/R/TRApollon-Q 2.0 (1)

Apollon-Q Overview

The Apollon-Q series stands for wireless IoT level sensors with high-quality measurement results, which are possible thanks to a unique complementary measuring principle. The sensor combines an optical measurement with a radar and can be used for level measurements of up to 2.50 meters. Regardless of whether they are used for piece, liquid or bulk goods, the devices in the Apollon-Q series deliver high-quality results and can be used for various applications in the field of level measurement for containers or in shafts and ducts. The sensor also provides reliable data in small containers such as waste paper baskets. In addition to an optimized range and short measurement and transmission intervals, the product offers many advanced functionalities and supports the most common communication standards such as MIOTY®, NB-IoT, LoRaWAN® and LTE-CAT-M1.


  • Robust measuring principle based on radar and/or ToF measuring principle
  • Available with mioty®, LoRaWAN®, NB-IoT, LTE-M1
  • Resistant and robust housing
  • Replaceable batteries
  • Opening and vandalism detection available
  • Provisioning via NFC and downlinks available
  • Cellular communication via CoAP available via Sentinum Datahub (generic LWM2M upcoming)
  • Integrated GPS for container tracking
  • Example applications: Fill level monitoring for smart waste, glass containers, used clothing containers, IBCs, industrial waste, C-parts monitoringUntitledScope of delivery
  • Sensor incl. batteries
  • Drilling template (paper)

Apollon-Q Article tree

Prefix Code product series Communi-cation Sensors Additional Sensors Examples

Apollon-Q 8.2Apollon-Q 4Apollon-Q 8.0Apollon-Q 1.0

Innovative and robust ToF 3D measurement

We use high-performance and current-optimized laser technology for the Apollon-Q. This enables us to record many small measuring points and combine them into a coarse-resolution 3D image. This means that even highly inhomogeneous surfaces, such as those found on piece goods, can be captured more accurately than with conventional methods. In addition, sections of an image can either be viewed more closely or ignored.

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This suppresses interfering influences or objects in the sensor image. The image section can be reduced for extremely small containers, such as KLT boxes or waste paper baskets. In this way, the aperture angle can be reduced and the measuring window can be individually adapted to the respective container.

Application examples

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