Together, we'll see how I trained a Convolutional Neural Network (CNN) to recognize individual characters in natural images. Glad you're here! You're looking at a project I've been working on that ...

This project involves implementing Optical Character Recognition (OCR) using Python, OpenCV, and Tesseract. OCR technology extracts text from images or scanned documents and converts it into readable ...

You can place a book down in front of the device and the onboard camera uses optical character recognition (OCR) technology to take in the words — with an in-house generative AI system reading out the ...

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 ...

Through the analysis of potential and period statistics, we may create recognition algorithms capable of distinguishing characters by their optical response. This technique introduces novel ...

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

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 ...