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Web-Based OCR and Object Detection System Architecture

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Samantha Tanquary
Published on 2023-02-05
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This template depicts the architecture of a web-based Optical Character Recognition (OCR) and object detection system. On the client side, the main user interface (Main UI) is implemented using Bootstrap, offering mode toggling and language selection. The server side is divided into three main applications: YOLOv5 App for object detection, Tesseract OCR App for text recognition, and a Learning Page App. These are all built atop the Django backend framework, consisting of URL Mappings, Views, Templates, and Models that interface with an Object Database and a Text Database. Such architectural designs are valuable references for developers looking to create advanced image processing and analysis tools.
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Django Application Design
Object Detection Framework
OCR System Architecture
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