Development of real-time, robust statistical methods for novel applications in food sorting KU Leuven
In industrial food sorting, fast sensor based technologies are used for automated food inspection. These sensors typically produce multivariate data that are used as input for classification algorithms, which are responsible for the detection of commonly found defects among the regular material. Typically, huge amounts of product are scanned in an automated fashion. Food inspection machines therefore generate gigabytes of multivariate data in ...