Welcome! This project is all about my journey in implementing an Optical Character Recognition (OCR) model using PyTorch. Together, we'll see how I trained a Convolutional Neural Network (CNN) to ...

This thresholding is a critical step in Optical Character Recognition (OCR). It is also essential for other Character Image Extraction (CIE) applications, such as the processing of machine-printed or ...

OCR for Plate Recognition: Once the license plates are detected, an OCR engine will extract the alphanumeric characters from the plates. TensorFlow Lite's inference capabilities will process the ...

The platform aligns with Indonesia’s ambition to welcome 14 million visitors by 2025 through improved tourism infrastructure ...

Fleet tracking involves monitoring the location, speed, and status of vehicles in a fleet. Traditionally, GPS systems have been the go-to solution for fleet tracking. However, LPR systems add an ...

Digital Texts,Image Processing,License Plate Recognition,Local Government Units,Lowercase Letters,Machine Learning,Management System,Optical Character Recognition ...

If you want to convert images containing text into editable files and documents, you need to use something called OCR (Optical Character Recognition), a feature that’s becoming increasingly ...

Advisors Can Securely Upload Client Tax Returns to RightCapital, Proposing Plan Changes to Reduce Tax Burden in a Few Clicks.

Researchers have developed a fast and accurate flexible optical skin that can be used to read Braille. The advance could not ...