This project implements a complete pipeline for automatic data extraction from personal identification cards. It combines YOLOv8 for detecting predefined fields (e.g., name, ID number, date of birth, address, photo) with PaddleOCR for text recognition, and outputs the extracted information in a clean, structured JSON format.

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P&ID Decoder – AI-powered tool that converts Piping & Instrumentation Diagrams into structured, machine-readable data. Uses YOLO for symbol detection, OCR for text extraction, and supports exports to JSON, PDF, DEXPI, and DXF for CAD integration.

YOLOv11-C3k2-gConv实现阿联酋身份证识别与信息提取

Untuk memenuhi sebagian persyaratan memperoleh gelar Sarjana Teknik. Disusun oleh: GREGORIO MANOEROE NIM: 215150300111019

An intelligent PDF processing application that uses computer vision and OCR to automatically detect, classify, and extract text from Piping & Instrumentation Diagrams (P&ID). Built with a custom-trained YOLO model for shape detection and multiple OCR engines for text extraction.