You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Sistema de Reconhecimento Automático de Placas (ALPR/LPR) em tempo real utilizando YOLOv11, SORT Tracker e EasyOCR. Pipeline otimizado com técnicas de Processamento Digital de Imagens (PID) e correção heurística.
Ferramenta de sobreposição (overlay) em Python que realiza tradução de tela em tempo real para jogos. Utiliza OCR (EasyOCR) acelerado por GPU para extrair texto em Chinês e fornecer tradução instantânea para Português (PT-BR) ou Pinyin, otimizando a experiência de imersão.
An AI-powered tool that instantly converts business cards into actionable Excel data using EasyOCR and Llama 3.1. Features a sleek Streamlit UI, secure user management, and bulk processing capabilities.
Deep Learning-based Automatic Number Plate Recognition (ANPR) System for Indonesian License Plates using YOLOv8 and EasyOCR. Features an interactive Streamlit web interface for real-time preprocessing tuning.
Scanframe is a desktop application designed to extract text from videos using OCR (Optical Character Recognition). It allows you to play videos, pause on specific frames, extract subtitles or any on-screen text, edit them, and export them in .TXT or .SRT (standard subtitle) formats.
🚗 Automatic Number Plate Recognition (ANPR) using YOLOv8 and EasyOCR. Detects and reads vehicle license plates from images or webcam in real time. Built with Python, OpenCV, and Streamlit, featuring image preprocessing for better OCR accuracy and an interactive web-based interface.
A smart machine learning system that verifies KU student ID cards using computer vision and OCR technology. Features fraud detection, dual OCR engines, and an intuitive web interface for seamless verification.
This repository presents an integrated deep-learning pipeline for vehicle detection, Automatic Number Plate Recognition (ANPR), and illegal number-plate font identification. The system improves traffic enforcement, enhances monitoring, and reduces the need for manual verification.