![Idx](/assets/466584/600x/idx.png)
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.
![Ixodes Scapularis (deer tick)](/assets/466586/tick4_sm.jpg)
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.