They identify challenges in appearance-based recognition and highlight the growing demand for robust, scalable, and efficient deep learning solutions, corroborating the rationale behind our adoption ...

The collaboration aims to enhance enterprise-level processes through solutions in quality inspection, digital simulation, and agentic AI deployment.

We first benchmark the anomaly detection performance of three major visual frameworks-convolutional neural networks (CNNs), vision transformers (ViTs), and vision-language models (VLMs)-under varying ...

This article proposes an imaging-free method based on single-pixel imaging and statistical analysis for efficient and fast wafer defect detection. First, the chi-square test, a commonly used ...

SAN ANTONIO, July 16, 2025 /CNW/ -- Frost & Sullivan is pleased to announce that TC&C has been awarded the 2025 Global New Product Innovation Recognition in the real-time deepfake detection industry ...

Efficient and accurate detection of surface defects on trains is crucial for ensuring train safety. However, the insufficient defect samples and their diverse patterns make defect detection in complex ...