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The project goal is to build a working vision-in-the-loop demo combination using both C++ and VHDL parts. The C++ computer vision application tracks a green rectangle and returns its center coordinates and rotation within a Cartesian reference system. The application runs on a Jetson Nano board. The FPGA (A-C4E6E10): • through serial communication receives green rectangle position data from the Jetson Nano. • Controls the servo motors whose shaft rotation matches the one of the green rectangle. • Schedules-regulates the request of data from the Jetson Nano. A physical prototype of the device has been built and tested.
This is an extended critical review of the paper "A SAR-Assisted Two-Stage Pipeline ADC" by Chun C. Lee; Michael P. Flynn in IEEE Journal of Solid-State Circuits, vol. 46, no. 4, pp. 859-869, April 2011, doi: 10.1109/JSSC.2011.2108133.
Purpose of this thesis project is the development of an automatic car plate recognition system based on the combined use of Computer Vision and Machine Learning techniques.
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Electromagnetism is a core course in physics and engineering curricula. One of the main difficulties experienced by students is the execution and visualization of numerical results.
