TY - CHAP A1 - Scherer, Leo A1 - Vitzthumecker, Thomas A1 - Bierl, Rudolf ED - Uhl, Christian ED - Walter, Michael ED - Stiehl, Annika T1 - Capacitive PCB sensor for the detection of insects in intelligent traps T2 - Applied Research Conference 2022 Conference Proceedings: 4th July 2022, University of Applied Sciences Ansbach (Onsite Conference) N2 - Reliable and fast detection of pest in the food processing and pharmaceutical industry is crucial to ensure hygienically safe, pure and healthy products. This is why intelligent traps, that are able to detect insects automatically are needed. For this, a capacitive PCB sensor is developed and tested, which could be a simplistic, low power solution to the problem. This includes design, footprint generation and simulation as well as testing different types of capacitve sensing against noise immunity and sensitivity to Blattella germanica, the German cockroach. It is shown that a single specimen can very well and reliably be detected by the developed sensor. KW - PCB layout generation KW - insect monitoring KW - pest detection KW - Capacitive sensing Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-55837 SP - 519 EP - 523 PB - Hochschule Ansbach CY - Ansbach ER -