O

object detection

This project focuses on developing a prototype application for extracting headlines and content from digitized newspaper images stored in the SIDAK (Sistem Informasi Database Koleksi) system of the Monumen Pers Nasional, utilizing computer vision and deep learning techniques.

The prototype aims to overcome the limitations of standard OCR tools by integrating YOLOv8 object detection to precisely identify and separate newspaper headlines and article content before text extraction.

AlexeyAB darknet version with improvements with test/demo

A 3D Stereo Vision Camera that tracks an object and displays its distance.

This project deals with training of convolutional neural network for licence plate detection in video. Darknet technology was used for detection, specifically the YOLOv3-tiny neural network model.