Digital Transformation Artificial Intelligence – Detecting birds close to wind turbines

Context & Issue

Avian mortality due to collision with wind turbine blades is very high. To reduce or even eliminate these accidents, rapid and accurate detection of the birds is necessary in order to take measures to scare them away or to stop the machines.

Summary

Project duration

4

months

Team

1

person

Aims

  • Real-time detection of flying fauna
  • Estimation of species from video streams
  • Estimation of the distance of the birds

Realisation

  • Dimensioning of the hardware infrastructure
  • Modelling (object detection with an EfficientDet)
  • Production launch of the models (TFX)

Technologies used

  • Azure
  • Open CV
  • Python

  • TensorFlow Extended
  • Nvidia
  • Tensor RT

Digital Transformation

Insights

Will your business be affected by the RPA?

29/12/2021

pierre

Digital Transformation

Responsibility for Industrial IT Systems

06/12/2021

paul

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