At the laboratories of Delft University of Technology, an on-line system was developed for multi-sensor quality control and sorting of bulk solids.
At the laboratories of Delft University of Technology, an on-line system is available for multi-sensor quality control and sorting of bulk solids.
Our students learn to develop integrated manufacturing cells and machines that contain automated material handling systems, machining, tool path planning, sensor systems, quality control, and error handling.
The results explicitly demonstrate the applicability of the developed sensor in quality control, pharmacokinetic studies and clinical analysis.
It is designed to provide tools for all steps starting from full waveform decomposition, sensor calibration, quality control, and terrain model derivation, to vegetation and building modeling.
In this perspective, an innovative sensor-based quality control strategy was developed using hyperspectral imaging (HSI) in the near-infrared range (1000 1700 nm), to evaluate the residual mortar content on the surface of coarse recycled concrete aggregates.
Quite often, sensor-level quality control processes utilize domain-specific, rule-based systems or general outlier detection techniques to flag "bad" values.
Sensor testing and quality control has been performed at INFN Trieste.
We have developed a calibration and validation plan where we pull data in real time from ground sensor networks, perform quality control, and compare with the SMAP data.
Results of sensor testing and quality control performed at INFN, Trieste on the pre-series and on the first series production batches is reported.
Polypeptide released from this sensor system fulfils quality control requirements and can exit ER and transport to their final destination.
