Oğuzhan Alasulu

 A fully analog system was developed to convert audio signals into optical signals, transmit them using a laser, and recover the original audio signal with high fidelity. The design incorporated transistor-based circuits for audio processing, laser modulation, and signal reconstruction, with a photodetector employed to sense the laser and convert the optical signal back into an electrical signal. A minimum operational distance of 50 cm between the laser-based transmitter and photodetector was achieved. The system was further enhanced by integrating an optical method for audio signal conversion and designing an innovative optical microphone circuit, demonstrating advanced expertise in analog circuit design and laser-based communication technologies.

Designed and implemented a line follower robot with adaptive cruise control using the STM32F103RB microcontroller and register-level C programming. The robot uses QTR-8RC reflectance sensors for precise line tracking and an HC-SR04 ultrasonic sensor for dynamic distance control. A PID algorithm ensures real-time motor speed adjustments, enabling accurate path following and stable performance under varying conditions. A buzzer provides real-time feedback when distance thresholds are exceeded, enhancing usability and monitoring. The project emphasizes efficient hardware-software integration and robust testing, demonstrating the capabilities of register-level programming for high precision. Github Link:  https://github.com/alasulu/STM32_LINE_FOLLOWER_ROBOT_EMBEDDED_C