Proposed a paper which presents an automatic road sign detection and recognition system based on deep learning using convolutional neural networks (CNNs) with EfficientDet to assist visually impaired people.
Our team, focusing in KRTMI division, developed both an automatic and semi-automatic robot designed specifically to segregate five types of waste. As a programmer for our second robot, I gained extensive hands-on experience with STM32 microcontrollers, ROS Noetic, robot kinematics, PID control, and more.
Scevent Nalarfest was a national research paper competition (KTI) with a theme about "Innovation Towards a Sustainable Future to Achieve Golden Indonesia 2045". My team proposed an idea for automatic trash segregation based on Arduino Uno
In this current time, i'm doing a research to implement ICP for robotic localization. I use Hokuyo lidar and LSLidar.
A smart IoT trash bin with automated sorting, touchless lid opening, and smartphone-controlled movement for efficient waste management. This project was made in 2022 (during my high school).
This Blue Object Tracking Robot uses Arduino Uno and OpenCV to follow a blue object. A phone camera with Iriun app detects the object, while two Arduino Unos handle wireless communication via NRF24 and control the robot’s movement.
This project develops an IoT-based corrosion detection robot using YOLO and OpenCV for vehicle underside inspection. It used an STM32 microcontroller and mini PC for data processing. Movement is controlled via Bluetooth through joystick.