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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Huvudupphovsmän: Lino Antoni Giefer, Benjamin Staar, Michael Freitag
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-11-01
Serie:Electronics
Ämnen:
quantized neural networks
defect detection
field-programmable gate array
quality inspection
parameter quantization
Länkar:https://www.mdpi.com/2079-9292/9/11/1824
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