This project consists of three parts: preprocessing ( denoising ), feature extraction , classification. In preproccesing wavelet & median filter has used. Then for feature extraction morphological features extracted & for the last session I’m using SVM and KNN.
This type of printer works with particular UV projector and special resin dryer. A team consisted of electronics,software & mechanics engineer was responsible for this project. I am honored to be the electronic team member and my resposiblities were designing boards including
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Designing urgent automatic ventilator during coronavirus pandemic. Designing PCB and programming STM32 ARM microcontroller. Inhale(PIP) and exhale pressure(PEEP) were controlled with fuzzy and PID controller. Air pressure was produced by a brushless DC motor. Moreover, motor temperature and current could be monitored
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The Unmanned Ground Vehicle (UGV) Robot was a machine with the ability to cross difficult obstacles and picking up or rotating objects. This robot is a kind of rescue robots used in earthquake crsis, mines and etc. This robots consists of different
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In this project “Paper Soccer” game was implemented by Python. Two agents were designed and Q-learning (a method of Reinforcement learning) was applied used for automation. Agents learned the play by playing together and also a human player. After succeeding in the
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Flir Lepton camera was set up using SPI data communication by both STM32 MCU and Raspberrypi independently. The task was detecting a shape created by the combination of high and low temperature in a normal environment which is aimed for automatic recognition
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For stabilizing the laser scanner, acceleration data was collected by MPU6050. Mahony algorithm was implemented on MCU to process the raw data and calculate the angles. Roll and pitch angles were automatically modified by two servo motors. For taking a 2D map
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