FPGA-Based Optical Surface Inspection of Wind Turbine Rotor Blades Using Quantized Neural Networks

Quantization of the weights and activations of a neural network is a way to drastically reduce necessary memory accesses and to replace arithmetic operations with bit-wise operations. This is especially beneficial for the implementation on field-programmable gate array (FPGA) technology that is part...

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Bibliographische Detailangaben
Hauptverfasser: Lino Antoni Giefer, Benjamin Staar, Michael Freitag
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2020-11-01
Schriftenreihe:Electronics
Schlagworte:
quantized neural networks
defect detection
field-programmable gate array
quality inspection
parameter quantization
Online Zugang:https://www.mdpi.com/2079-9292/9/11/1824
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