Vision - Object-Text Detection and Recognition Application

About The Project

The project consists of object – text, detection and recognition module, and a dimension measuring module. It offers an improved method of classifying objects and calculating their measures in real-time from video sequences. Uses OpenCV libraries, which comprise erosion algorithms, canny edge detection, dilation, and contour detection. To accomplish the task of the text recognition Tesseract OCR engine is employed.

Usage Guidelines

Download Configuration and Weight File for YoloV3-320 and YoloV3-tiny, and put them into the OTDRS folder.

Model Configuration and Weight Files: https://pjreddie.com/darknet/yolo/

Build With

• Kivy
• OpenCV
• NumPy
• YOLOv3
• Tesseract OCR

Screenshots

Splash screen

Choose image

Change Module

Warp Perspective

Object Detection

Text Recognition

Measure Dimension