[Tech Blog] Rethinking AI Anomaly Detection: What Is Dinomaly, a High-Accuracy Multi-Class Detection Method?
AI anomaly detection is essential in manufacturing quality control and medical diagnosis, but covering many products has usually required many models. Dinomaly is a simple yet high-performing method that detects anomalies across multiple classes with a single model.
Application Note: Leimac Robo Light
This configuration assumes a scenario in which Leimac's "Robot Light" is used in sync with a camera. This section explains the Basler camera settings.
The Difference Between "Grab" and "Acquisition" in Camera Control
When controlling a camera from software, the terms "Grab" and "Acquisition" come up often. They sound similar, but each has a different meaning and role.
[Tech Blog] Basler ace 2 Camera: How to Configure Triggers in Pylon Viewer
The Basler ace 2 (a2a3840-45ucPro) is a high-performance area scan camera with a USB3 Vision interface. This article explains, step by step, how to set up software and hardware triggers in Basler's Pylon Viewer.
Making Tears in Paper Visible with AI Visual Inspection: A FORESIGHT STEREO Application Example
On manufacturing floors, even a slight tear or fold in paper, or a foreign particle, can lead directly to a quality problem. Yet defects in thin, glossy paper materials are often missed even by skilled inspectors, and this has been regarded as an area that is very hard to automate.
Time Series Anomaly Detection: Evolution Over the Last Decade and Prospects for the Future
Time Series Anomaly Detection: Evolution Over the Last Decade and Prospects for the Future This article is bas […]
Converting the VisA Dataset to the MVTecAD Format
Converting the VisA Dataset to the MVTecAD Format In anomaly detection, organizing dataset structures has a si […]
[Tech Blog] The Savior of High-Resolution Anomaly Detection!? A Deep Dive into the Memory-Efficient Tiled Ensemble Approach
The Savior of High-Resolution Anomaly Detection!? A Deep Dive into the Memory-Efficient Tiled Ensemble Approac […]
A New Challenge in Industrial Anomaly Detection: Introducing the MVTec AD 2 Dataset
A New Challenge in Industrial Anomaly Detection: Introducing the MVTec AD 2 Dataset 1. Paper Information Title […]
AnomalyDINO: A Novel Few-Shot Anomaly Detection Method Built on DINOv2
Anomaly detection plays an important role in many fields, from quality control of industrial products to medical image analysis. This article introduces AnomalyDINO, a training-free few-shot method built on DINOv2 visual features.