Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application

@article{Mazzia2020RealTimeAD,
  title={Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application},
  author={Vittorio Mazzia and Aleem Khaliq and Francesco Salvetti and M. Chiaberge},
  journal={IEEE Access},
  year={2020},
  volume={8},
  pages={9102-9114}
}
Real-time apple detection in orchards is one of the most effective ways of estimating apple yields, which helps in managing apple supplies more effectively. Traditional detection methods used highly computational machine learning algorithms with intensive hardware set up, which are not suitable for infield real-time apple detection due to their weight and power constraints. In this study, a real-time embedded solution inspired from “Edge AI” is proposed for apple detection with the… Expand
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