Abstract: Systems and methods for classifying and sorting of plastic materials utilizing a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials, which may then be sorted into separate groups based on such an identification or classification.

Abstract: The present invention relates to a method and apparatus for detecting and for recognizing impacts by measuring changes in impedance. The device comprises a sensor (6) and an external electronic system (10) which permanently monitors the impedance of the sensor. After a learning period, the electronic system records the impedance of the apparatus at rest, after which, whenever the sensor is subjected to an external action (9), its impedance varies at a certain rate of change, thereby enabling the electronic system to detect the derivative of the rate of change of the impedance, or in a different application to detect the pure change in impedance, and transmit a signal to a user (16).