Hybrid sensor for material identification and characterization
Suitable sensor technology must be developed to record the data (material properties including internal structures and external geometry of the bulk material). Suitable demonstrators are to be developed for this purpose in the project. The aim is to develop a technologically advantageous and economically viable hybrid sensor for material identification and characterization. Existing solutions from the field of sorting sensors will be extended by new sensor technologies (THz line scan camera, active thermography sensor, line laser, phased array air-ultrasonic line scan camera). Machine learning methods will be used to develop a real-time capable algorithm for the hybrid sensor that will enable reliable material identification.