Dec 19, 2023 · To explore a non-contact inspection approach with enhanced flexibility, efficiency and accuracy, a binocular stereo vision-based method incorporating full convolutional network …

Dec 1, 2024 · Currently, computer vision-based crack detection technology is the most popular due to its low cost and high accuracy [4]. With the advancement of AI technology, deep …

Jan 1, 2025 · Automated system: Developed an automated vision system for concrete crack detection. AI-driven segmentation : Accurately segments cracks using state-of-art AI …

We present the CrackVision12k dataset, a collection of 12,000 crack images derived from 13 publicly available crack datasets. The individual datasets were too small to effectively train a …

Cracks are irregular line structures that are of interest in many computer vision applications. Crack detection (e.g., from pavement images) is a challenging task due to intensity in-homogeneity, …

Using acoustics is a great way to detect cracks in parts at high speed. Imagine how a bell sounds with and without a crack, and you get the idea. Instead of using your ears, you need a $10,000 …

Aug 9, 2024 · Effective crack detection usually involves overcoming problems related to shadows, light, and illumination. To improve the visibility of cracks in images, shadow removal, light …

Jan 25, 2025 · In this paper, we propose a weakly supervised crack segmentation method called CrackCLIP for adapting vision-language models. This method leverages the generalization …

In this paper, we propose a first-of-its-kind oriented sub-crack de-tector, dubbed as CrackDet, which is derived from a novel piecewise angle definition, to ease the boundary disconti-nuity …

Jan 1, 2025 · In response to the growing demand for more advanced crack detection techniques, this paper presents CrackVision , an advanced framework that leverages Transfer Learning …