Our enerSENSE product family
enerSENSE sensors form the bridge between the real and the digital world. Equipped with enerFILM, the sensor supplies itself with the energy of the ambient light. Even longer periods of darkness are no problem thanks to the efficient charging circuit and built-in battery. A large number of built-in sensors record valuable data such as temperature, humidity, air pressure, brightness, acceleration and magnetic fields. Special sensors for recording the CO2 concentration or volatile organic compounds are also integrated. A microcontroller takes care of the pre-processing of the data on the device and regulates the energy consumption of the sensor. The data is transmitted via Bluetooth. The use of Bluetooth mesh enables complete production halls and buildings to be covered while maintaining a high data rate. A mesh gateway represents the bridge to the cloud.
enerSENSE – Basic
- Fully integrated energy self-sufficient sensor
- Measurement of temperature, humidity, air pressure, acceleration, magnetic field, light intensity
- Energy supply via enerFILM photovoltaic module and battery
- Communication via Low Power Bluetooth and Bluetooth Mesh
- Applications: OEE, condition monitoring, tracking
enerSENSE – Industry
- Modular sensor with separate power supply
- Measurement of temperature, humidity, air pressure, acceleration, magnet field, external input
- Energy supply via enerFILM photovoltaic module and battery
- Communication via Low Power Bluetooth and Bluetooth
- Mesh Applications: OEE, condition monitoring
enerSENSE – Air
- Fully integrated energy self-sufficient sensor
- Measurement of CO2, temperature, humidity, air pressure, acceleration, magnetic field
- Energy supply via enerFILM photovoltaic module and battery
- Communication via Low Power Bluetooth and Bluetooth Mesh
- Applications: air quality, window open status
Valuable information for you
enerSENSE sensors make data that is difficult to access available.From this we make valuable information. The analysis takes place on the sensors and in the cloud. We use machine learning and AI to do this. Of course, this requires strong partners. Here we work together with universities and institutes and together offer our customers access to the latest findings and processes. The potential is immense:
- From machine vibration to expected lifespan
- From building parameters to energy consumption
- From air quality to risk of infection
