Horse racing is a hundred-plus billion-dollar industry. Software programming measures all aspects of horse racing: training, racing performance, eating habits, breeding, and provenance, is measured in finite detail.

In September 2011, Singapore Turf Club introduced Trakus, a real time tracking system, “… capable of automating and enhancing the collection, organization, storage and visual presentation of horse positioning data1…” This not only spurred new technology, but also generated a series of new customized software to monitor races, as well as behavior, breeding and training. One example is Australian based software company Ardex Technology which specializes in developing racing and breeding solutions for horse management.

This adaptive software development can be seen in other companies such as Swiss watch maker, Longines, which specializes in developing technology to monitor and improve performance, as well as provide viewers unique experiences in viewing the races. Longines Positioning System (LPS) can provide instant data on a horse’s position during a race down to five centimeters, current rank, distance between horses, and individual horse speed with up to 1,000 measurements per second.

Jockeys also have customized software developed to monitor their performance during a race. Jockey cams provide spectators the ability to see a race through the eyes of a jockey. This provides a jockey the ability to review their race from their original riding position in evaluating performance. This, incorporated with, England’s Royal Veterinary Club’s work with motion tracking technology to evaluate jockey riding positions will help to improve performance and reduce injury among horses and jockeys.

Even the smallest of operators in the horse racing industry rely on sophisticated, and often custom, data management systems.
3Connect is currently working on developing custom software for a company that wants to pull in video data to their existing racing analytics database. At the moment, it is incredibly time intensive for the company to manually enter data. Image recognition capability in custom software will save the company thousands of dollars each week, reduce human error and cut the time it takes to get the data into their database, thereby significantly improving their business intelligence.