Project Overview
When Delta Systems was approached by Dr. Kevin Keegan, Professor of Veterinary Medicine and Surgery at the University of Missouri College of Veterinary Medicine, he had 18 years of research, an algorithm, and a partner in Japan working on wireless sensors – all of which were being used to detect lameness in horses.
Dr. Keegan had a problem and a solution. But the solution ran too slowly and was too cumbersome for an average person to perform. Equinosis was starting to take shape, but some technical help was needed to make it into a viable product.
The challenges included:
- boosting a slow analysis cycle
- organizing and displaying data for multiple horses and runs
- reporting this highly detailed data in a clear and accurate manner
The algorithm is wicked complicated and when it showed up on our doorstep was taking almost 4 minutes to analyze the data from a single run of a horse. Additionally, the data collected by the sensors had to be perfect – no odd spikes or lulls.
Delta went to work on speeding up the analysis and quickly improved the results. Now the time it took the system to digest the same amount of information had dropped from 4 minutes to 0.4 seconds.
Real-time reporting and analysis was now possible! Data could now be sent via Bluetooth from sensors on the running horse to a nearby tablet computer doing capture and analysis right in the field. This data needed to be analyzed in the field while the horse was still there so the doctor could do blocking and other stuff that vets do.
Delta Systems then worked to create a program to run on tablet computers to collect data wirelessly via bluetooth from the sensors and then manage the data from multiple runs of multiple horses in an intuitive user interface. Ultimately, a report is produced that shows all kinds of useful information that we’d love to share but is proprietary.
