Pinned Repositories
DWIN-Screen-with-Arduino
Completed
eCommerce_Application
Asp.Net Core 5.0
Fire-Alarm-System-Mobil-Application-Embedded-System-
According to the data obtained from the sensors in the embedded system, it is aimed to make calls to the people registered in the mobile application. Data is stored in firebase. Sensor information is sent from the embedded system to the firebase and the registered person is notified in an unsafe emergency.
Qt_QML_Projects
Robotic-Arm
Completed
ServoEasing_SoftMotion
Completed
STM32_INA219_i2c
STM32_max31865_pt100_OLED
Completed
STM32_rs485_ModbusComm
Completed. The data read from the pt100 sensor was transferred between two stm32s using the rs485 communication protocol.
STM32F103_relayControl
Completed
ozgedurgut's Repositories
ozgedurgut/DWIN-Screen-with-Arduino
Completed
ozgedurgut/STM32_max31865_pt100_OLED
Completed
ozgedurgut/STM32_rs485_ModbusComm
Completed. The data read from the pt100 sensor was transferred between two stm32s using the rs485 communication protocol.
ozgedurgut/STM32F103_relayControl
Completed
ozgedurgut/ServoEasing_SoftMotion
Completed
ozgedurgut/STM32_INA219_i2c
ozgedurgut/STM32_max485
Completed. Communication is provided between two STM32s using max485 modules.
ozgedurgut/TelephoneDirectory
Asp.Net Core 5.0
ozgedurgut/CMPE331Exercises-1
ozgedurgut/Detecting-Air-Leakage-in-Pneumatic-Systems
ozgedurgut/eCommerce_Application
Asp.Net Core 5.0
ozgedurgut/Fire-Alarm-System-Mobil-Application-Embedded-System-
According to the data obtained from the sensors in the embedded system, it is aimed to make calls to the people registered in the mobile application. Data is stored in firebase. Sensor information is sent from the embedded system to the firebase and the registered person is notified in an unsafe emergency.
ozgedurgut/ozgedurgut
ozgedurgut/Qt_QML_Projects
ozgedurgut/Robotic-Arm
Completed
ozgedurgut/CPP_Projects
ozgedurgut/MVC_web_app
ozgedurgut/PicSciP
Fork of the Xcode PhotoScroller sample app, like the native iPhone photo viewer. Click the demo video link below.
ozgedurgut/Robot_against_Covid19
The robot is designed to prevent the coronavirus epidemic and work at the campus gate. The robot actively moves and controls people within a 10 x 10 meters area, including the campus toll booths. The robot follows the person entering the campus from the toll booths and measures their body temperature using sensors, the robot warns people whose body temperature is dangerous. By using distance sensors, the social distance of people at the campus entrance can be measured, and people who are closer than 1.5 meters be warned by the robot to follow the social distance rules. One of the most important points in combating the virus is wearing a mask. People need to wear masks as well. Using machine learning, it can be checked whether people are wearing their masks properly, and people who do not wear masks will be warned to wear masks. These particular functions used machine learning systems and deep learning algorithms. (Software: Python, JavaScript, Arduino, Design: Unreal Engine 4, SolidWorks, 3Ds Max Hardware: Arduino Uno, MLX90614, OLED LCD Display) Animation film; https://youtu.be/zcuOsx3EJwo
ozgedurgut/STM32_adc_read
Completed
ozgedurgut/STM32_EEPROM_read_and_write
Completed
ozgedurgut/STM32_multichannel_ADC_withDMA
Completed
ozgedurgut/STM32_oled
Completed
ozgedurgut/STM32_relayControl_with_RS485Communication
Completed
ozgedurgut/STM32_rs485_communication_rxtx
Completed
ozgedurgut/STM32F103_RTC_and_EXTI
ozgedurgut/STM32F103_Systick_Timer_Delay
Completed
ozgedurgut/STM32F103_UART_DMA_ADC
Completed
ozgedurgut/stm32f105_testcode_uart_eeprom
ozgedurgut/WebApplicationProjects
Asp.Net Core 5.0