<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
<channel><title>zalv</title><link>https://676a43422076d.site123.me</link><item><title>[Research] Iterative-Closest-Point (ICP) Application in Lidar (2024, ongoing)</title><pubDate>2024-12-24 16:33:00</pubDate><link>https://676a43422076d.site123.me/my-projects/research-iterative-closest-point-icp-application-in-lidar-2024-ongoing</link><description>​In this current time, i&#039;m doing a research to implement ICP for robotic localization. I use Hokuyo lidar and LSLidar.</description></item><item><title>IoT-Driven Automated Waste Sorting System Bin with Arduino Uno and Proximity Sensors (2022 UGM IOT TECHNOCORNER)</title><pubDate>2020-06-16 00:00:00</pubDate><link>https://676a43422076d.site123.me/my-projects/iot-driven-automated-waste-sorting-system-bin-with-arduino-uno-and-proximity-sensors-2022-ugm-iot-technocorner</link><description>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).</description></item><item><title>Blue Object Tracking Robot Powered by Arduino and OpenCV (2024 RIVAL FINAL PROJECT)</title><pubDate>2020-04-15 00:00:00</pubDate><link>https://676a43422076d.site123.me/my-projects/blue-object-tracking-robot-powered-by-arduino-and-opencv-2024-rival-final-project</link><description>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.</description></item><item><title>Robot Pendeteksi Korosi Bagian Bawah Kendaraan Transportasi Publik berbasis Machine Learning dan IoT (2024 GEMASTIK Penyisihan)</title><pubDate>2020-03-04 00:00:00</pubDate><link>https://676a43422076d.site123.me/my-projects/robot-pendeteksi-korosi-bagian-bawah-kendaraan-transportasi-publik-berbasis-machine-learning-dan-iot-2024-gemastik-penyisihan</link><description>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.</description></item><item><title>Real-Time Road Sign Detection System Based on Deep Learning and Computer Vision with Tensorflow 2 (2024 ITC SCIENTIFIC PAPER)</title><pubDate>2020-01-15 00:00:00</pubDate><link>https://676a43422076d.site123.me/my-projects/real-time-road-sign-detection-system-based-on-deep-learning-and-computer-vision-with-tensorflow-2-2024-itc-scientific-paper</link><description>This project creates a real-time road sign detection system for visually impaired individuals, using TensorFlow 2, EfficientNet, and SSD EfficientDet-D0 for detection, and Keras-OCR for reading text signs.</description></item></channel></rss>