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Main page › Implementations › Industrial machine vision › Control of geometric parameters of stone wool on the TECHNONICOL line
In July 2025, Mallenom Systems successfully implemented the VISCONT system at a TECHNONICOL production facility. The goal of the implementation was to ensure automatic control of the geometric parameters of stone wool without stopping the production line.
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To implement the project, a hardware-software complex was installed, placed directly on the line and adapted to the production specifics at the facility.
The system includes:
System operating principle
Control Zone No. 1: measuring the thickness of stone wool mat
Two 2D laser scanners are installed in this section, which measure the distance to the surface of the mat being produced and accurately determine its thickness. The obtained data is compared in real time with established standards, which allows tracking deviations without stopping the line.
Control Zone No. 2: measuring the length and width of finished boards
For measuring the length and width of finished slabs, a camera with a lens and illuminators is used. Imaging is performed automatically – triggered by a signal from a sensor that detects the passage of a product through the control zone. Depending on the type of slab (for example, standard or special), the corresponding algorithm for analyzing geometric parameters is launched. The obtained results are compared with current values and tolerances, and deviations are recorded and stored in the VISCONT system database for subsequent analysis and report generation.

Implementation Result
Thanks to the implementation of VISCONT at the enterprise, it was possible to automate the measurement of critically important parameters of stone wool at all stages of production: from monitoring mat thickness to checking the dimensions of finished slabs.
The system operates in real-time mode, without requiring line stoppage, and provides:
The project became an important step in the quality control system for manufactured products and an example of effective process automation at a large construction materials production facility.
