Machine Learning model applied to climbing by Lizcore

The main objective of this project is the development of a proof of concept through learning models that identify easily, and with the greatest possible precision, risk situations that could occur before starting the process of climbing a route with self-insurance.

AI models will be used, through convolutional neural networks (CNN) that allow the identification, classification and location of objects.

The models that are developed will not replace human supervision, they simply aim to help the staff at the center of the activity to detect possible cases of danger.

Here you have a video that explains how it works: https://www.instagram.com/reel/DImhrPdypEf/