Izzetcan Soyturk

The project is in its final stages, aiming to detect workers outside designated areas in real-time and send proof images to a mobile platform. I designed the system architecture (Raspberry Pi 5, Firebase, Flutter) and developed the computer vision algorithm and cloud communication using OpenCV, YOLO, DeepSORT, and Firebase API.

Developed an advanced temperature-triggered object detection system using TM4C123G microcontroller. The system operates in deep sleep mode until activated by temperature changes, utilizing dual-sensor verification (LM35 and BMP280) for accurate thermal monitoring. Implemented a sophisticated scanning mechanism using an ultrasonic sensor mounted on a stepper motor, enabling 180-degree environment scanning (-90° to +90°). The system features real-time distance and angle measurements, displayed on a Nokia 5110 LCD through SPI communication, with integrated I2C and GPIO protocols for comprehensive sensor management.

Engineered an isometric shooter game on FPGA hardware using Verilog HDL, featuring a unique 16-axis rotation system and real-time projectile physics. The game implements a custom VGA driver operating at 25MHz, delivering smooth 640x480 graphics with 8-bit color depth. Developed sophisticated game mechanics including multiple enemy types, dual shooting modes, and collision detection systems, all synchronized through precise hardware timing and state management on the DE1-SoC FPGA platform.

Engineered a sophisticated micro air conditioning system utilizing pure analog components, featuring an innovative four-subsystem architecture: sensing, display, control, and operation units. The system implements precise temperature control through analog feedback mechanisms. Developed advanced temperature regulation with ±1°C accuracy, incorporating automatic mode switching between heating, cooling, and idle states. The design includes custom voltage-based temperature sensing and a potentiometer-driven target temperature adjustment system.