Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77178
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dc.contributor.authorLiu, Yosua
dc.date.accessioned2019-05-15T04:53:55Z
dc.date.available2019-05-15T04:53:55Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10356/77178
dc.description.abstractComputer Vision is a field where vision sensors capture physical world information,which are then processed by computers to obtain the knowledge of the physical world. Vision sensors vary from ultrasonic sensors to cameras, while the knowledge of the physical world ranges from object detection & recognition to motion tracking. There are several processing techniques employed in Computer Vision, such as CNN and Image Processing. To date, CNN is the most popular technique used and this make CNN hardware implementation of interest. This report discusses the implementation of CNN methods in FPGA.en_US
dc.format.extent75 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleImplementing computer vision on FPGAen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLam Siew Keien_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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