The IDX is an electronic device that uses images and AI to identify ticks. It is based off of Vectech's original MosID which was developed to use a similar algorithm to identify mosquitos.
REDI-NET ticks have been imaged across three Gold laboratories at the University of Notre Dame, the Walter Reed Biosystematics Unit (WRBU), and the Naval Medical Research Center.
Images have been used to check device to device variability as well as to train the IDX to identify the ticks despite variability of features.
Recent tests have shown a 96% average accuracy rate with identification at the genus level for ticks.