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12 September 2021 Using neuro-accelerators on FPGAs in collaborative robotics tasks
A. Zelensky, E. Semenishchev, A. Alepko, T. Abdullin, Y. Ilyukhin, V. Voronin
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Proceedings Volume 11876, Optical Instrument Science, Technology, and Applications II; 118760O (2021) https://doi.org/10.1117/12.2600582
Event: SPIE Optical Systems Design, 2021, Online Only
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Abstract
The article discusses the implementation of a hardware neuroaccelerator based on FPGAs of the Cyclone IV series with 115,000 logical elements. An assessment of the requirements for the hardware resources of the computing platform is given. The features of the implementation of the neural network in the tasks of cognitive robotics and industrial production have been investigated in order to improve safety in the interaction of a robot and a person.
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A. Zelensky, E. Semenishchev, A. Alepko, T. Abdullin, Y. Ilyukhin, and V. Voronin "Using neuro-accelerators on FPGAs in collaborative robotics tasks", Proc. SPIE 11876, Optical Instrument Science, Technology, and Applications II, 118760O (12 September 2021); https://doi.org/10.1117/12.2600582
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KEYWORDS
Neural networks
Convolution
Machine vision
Cameras
RGB color model
Sensors
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