EVK announces the EVK Stream SUPERVISOR MP

Our clusterpartner EVK presents his latest product - a Software for multi-point monitoring of industrial material flows using hyperspectral imaging in real time - the EVK Stream SUPERVISOR MP. The software enables real-time monitoring of material and product flows based on hyperspectral data. The benefit is the increase of machine efficiency.

Fig.1: Layout of the new software Stream SUPERVISOR (Copyright EVK Kerschhaggl GmbH)


Typical applications for the EVK Stream SUPERVISOR can be found in the process lines of waste and recycling management, the mining industry and the food industry. The evaluation of hyperspectral data allows the determination of material composition and distribution of material flows, which have an influence on key parameters in the production process. The resulting optimization leads directly to an increase in machine efficiency, helps to save resources and to control product quality.


In its function, the EVK Stream SUPERVISOR provides the material distribution, strip occupancy as well as the material composition to its users as information in the live stream. The software can network several EVK HELIOS hyperspectral cameras at different measuring points and evaluate and display the data in real time.


Key features:


Material flow monitoring based on chemical material properties

- Real-time processing and display of collected data

- Support of up to five EVK HELIOS hyperspectral cameras

- User-friendly interface

- Continuous, seamless file export in CSV format

- PLC communication via OPC UA protocol

- 100% compatible with EVK HELIOS hyperspectral cameras and the

EVK SQALAR data analysis software


Matthias Kerschhaggl, Technical Director of EVK, comments: "With EVK Stream SUPERVISOR, we are following our vision of providing customers with key data for the Smart Factory. We are expanding the value chain we offer, starting with data acquisition, through processing, to the utilization of key data."


For more information visit our partner website.