Analysis of the possibilities of tire-defect inspection based on unsupervised learning and deep learning

I Kuric, J Klarák, M Sága, M Císar, A Hajdučík… - Sensors, 2021 - mdpi.com
At present, inspection systems process visual data captured by cameras, with deep learning
approaches applied to detect defects. Defect detection results usually have an accuracy …

Processing 3D data from laser sensor into visual content using pattern recognition

J Klarák, I Kuric, M Císar, J Stanček… - 2021 IEEE 8th …, 2021 - ieeexplore.ieee.org
This paper is focused on processing data from a laser 3D scanner working on the
triangulation principle. Generated point cloud processed by an algorithm in a programming …

Portable Device for Faster Tire Tread Depth Estimation Using Linear CCD Sensors

DNA Alves, A dos Santos, BG Ferreira… - 2024 XIV Brazilian …, 2024 - ieeexplore.ieee.org
To improve safety and efficiency of land vehicles, such as cars and trucks, frequent tire
inspections are necessary. Regular checks of tire tread depths help prevent accidents and …

Efficient Tire Tread Depth Estimation with ESP32CAM and U-Net Based Segmentation

A dos Santos, DNA Alves, BG Ferreira… - 2024 XIV Brazilian …, 2024 - ieeexplore.ieee.org
Tire inspection is essential for ensuring the safety and efficiency of land vehicles, such as
cars and trucks. Reg-ularly checking tire tread depth helps prevent accidents like …

[引用][C] Diseño de un sistema de inspección para la detección automática de rebaba en la producción de neumáticos

HM Azúa - 2021 - UNIVERSIDAD AUTÓNOMA DE …