ER2SQL_Poster_elementhvbjkfddgftyjhs.pptx

JayRibadia1 20 views 10 slides Oct 20, 2024
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About This Presentation

Here’s a comprehensive outline for a 3,000-word essay on India that covers various aspects like history, economy, culture, and politics:


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Title: India: A Multifaceted Nation

Introduction

Brief overview of India

Geographic location and size

Population and diversity

Importance on the glob...


Slide Content

Abstract This project presents a web-based tool that automatically converts Entity-Relationship (ER) diagram images into MySQL database schemas. Leveraging advanced technologies such as Optical Character Recognition (OCR), RCNN, and YOLO, the tool accurately detects entities, attributes, and relationships within ER diagrams. By combining object detection with line detection methods, including Canny edge detection and Hough transformation, the system maps identified elements to a coherent SQL schema, enhancing accuracy and usability. Designed for database professionals, students, and business users, this tool simplifies the conversion process, providing a seamless, user-friendly experience from image upload to schema generation.

Team Members

System work flow

Technologies used

Functional Modules

INput

Result / Outputs

Result / Outputs

Methodology

ANALYSIS table Algorithm Accuracy Object Detection OpenCV RCNN Yolo-v8 Line Detection Canny Edge Detection Hough Transformation Hough Transformation + YOLO Text Detection OCR TR-OCR
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