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FKRF's Projects

atmel-atsam4s-cortex-m4-core icon atmel-atsam4s-cortex-m4-core

This project describes the core circuit for Atmel ATSAM4SD16B ARM Cortex M4 micro-controller. The basic circuit contains the voltage regulator, decoupling capacitors, reset circuit, 8 MHz crystal oscillator and SWD (a derivative of JTAG) programming port. Also included are sample driver routines in C to access the various peripherals in the micro-controller.

lectureslides_highspeedpcbdesign icon lectureslides_highspeedpcbdesign

This repository is an archieve of slides and videos that I have developed for a course entitled "High-speed PCB design" for the period from 2004 to 2013.

machine-vision-module-with-arm-cortex-m4 icon machine-vision-module-with-arm-cortex-m4

In this project I am using an ARM Cortex-M4 micro-controller, in particular Atmel's SAM4SD16 to interface with a VGA CMOS camera. Please refer to http://fkeng.blogspot.my/2016/01/machine-vision-module.html for more information

mmu_foe_sensor_node icon mmu_foe_sensor_node

A small sensor node design based on Arduino by Faculty of Engineering, Multimedia University

mvm_v1_5c icon mvm_v1_5c

Contains the firmware and PC software (Windows) for machine vision module V1.5 Revision C

mvm_v1_5c_cnn icon mvm_v1_5c_cnn

This is a temporary repository to store all the codes and images to train the convolutional neural network (CNN) on MVM V1.5C module.

robot-monitor-software icon robot-monitor-software

This is a Windows based software that is used to communicate with a mobile robot and display the real-time telemetry information in x-y plots, bar graphs and other formats.

two_wheels_robot_v0_90s_os icon two_wheels_robot_v0_90s_os

Two-wheels self-balancing robot using stepper motors. Basic design with dsPIC33EP256MU806 controller board. Version 0.90S_OS

two_wheels_robot_v2p2 icon two_wheels_robot_v2p2

V2P2 is a small two-wheels self-balancing mobile robot platform. It contains a single-core on-board computer as the robot controller. The robot controller handles low-level process such as sampling and processing of sensors output, implementing discrete state feedback control to balance the robot body upright and perform secondary tasks etc. User can communicate with the robot controller using UART port, at 3.3V CMOS logic, baud rate at 57600 bps. A simple two-way protocols allow the user controller to send instructions to the robot controller to perform simple tasks, for instance asking the robot to move at constant linear speed, turn, drive RC servo motors, beep a sound and many more. Thus using this robot platform, in combination with an external controller of the user, an intelligent robot system can be constructed..

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