Predicting Success of Racehorses by 3D Depth Images

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InData Labs
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We built an application that helped our client to implement AI into horse breeding and accurately predict race performance.

The Client

The client manages several American-based horse breeding farms that serve the horse racing industry turned to our team with an idea of using 3D images for racehorse performance predictions.

Challenge

We were challenged with the creation of a custom application that will efficiently work with existing horses data, client’s sales datasets, provide filtering opportunity and navigation options.

Solution

Our team closely communicated with the client’s side throughout the project. The following project steps were mapped out:

1. Analyze data provided by the client.
2. Create an application to gather horse data by using the Intel RealSense camera to create 3D depth photos or point clouds. As opposed to 2D images, the use of the 3D image data would allow doing the following:

  • To take measurements of horses on photos
  • To further use the data to analyze the dynamics of growth and emphasize other key indicators that influence horse performance

We built an application that helped our client to implement AI into horse breeding and accurately predict race performance.

The AI-driven app allows users to select a horse, take a photo of it, label and save the picture, and send data to a secure data storage. The user-friendly interface makes it easier to catch, store, and systematize horse photos, and thus, accumulate a large amount of data.

Technologies and Tools

JavaFX, Python, C++, RealSense SDK, OpenCV, TensorFlow