Tire quality is crucial for vehicle safety, and thus, delivery inspection is necessary. However,
detecting internal tire defects from X-ray images is still a challenging task due to its complex …

Purpose In artificial intelligence, the optical character recognition (OCR) is an active
research area based on famous applications such as automation and transformation of …

Text Spotting is the union of the tasks of detection and transcription of the text that is present
in images. Due to the various problems often found when retrieving text, such as orientation …

With the continuous increase in the number of cars, traffic safety problems are also
becoming more and more serious, whether the driver wears a seat belt to protect the driver's …

This paper presents the development of a comprehensive, on-site industrial Optical
Character Recognition (OCR) system tailored for reading text on iron plates. Initially, the …

The present study proposes an automated non-contact weigh-in-motion framework using
multispectral vision and machine learning method, which provides an all-weather monitoring …

This paper outlines a system for detecting printing errors and misidentifications on hard disk
drive sliders, which may contribute to shipping tracking problems and incorrect product …

Tire burst of vehicles is one of the main causes of highway accidents. Furthermore, tire aging
is the most important cause of tire burst. It will be of great significance to traffic safety …

Due to the variety of tire specifications and poor contrast, it is difficult for ordinary 2D vision-
based methods to accurately and autonomously detect anomalies in the tire text embossed …

To solve the problem of recognizing artificial tire-side pressure printing characters with low
efficiency and high labor intensity, we propose a CNN-based method for tire surface …