Football analytics platform: fighting processing costs

    October 8, 2020

    In the modern world, the amount of data is growing at a tremendous pace, and there is a need to process it and extract useful information. A lot of companies are already using video analytics solutions to automatically filter this data and extract only useful information to support better decision-making.

    A recent Football Video Analytics solution, created by Quantum reveals how to make coaching, player development and recruiting effortless and bring professional football analytics to non-professional clubs. The solution uses two consumer cameras and the TensorRT Inference Server.

    During the video presentation, Alexandr shares insights on the input requirements for the solution, how our team made algorithms for player and ball tracking, pattern recognition, as well as TensorRT migration, and costs optimization.

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    • #Computer vision
    • #Data analytics
    • #Machine learning
    • #R&D
    • #Video and audio processing

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