Tagalo

Horse riders going ‘out’ sometimes lack a feeling of safety due to the remote locations they sometimes go to. In the case of a severe fall, no immediate help can be expected. Detecting those falls and sending a warning message would provide them a safety line.

Based on position and other sensor data captured by mobile devices, a machine learning model is developed that is capable of detecting falls. The occurrence of noisy data, caused by e.g. the variety of mobile device sensors, high-speed riding or hurdles makes this a challenging task. Locus has set up a mobile agnostic predictive model, capable of handling factors influencing the incoming data, which assess real-time whether or not to send out an alarm.

Our client:
Tagalo
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Actionable insights

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Data analytics

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Data engineering

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Solution design

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Ideation

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