[CEO Message] Reflections on the Noh Play Fujito – Second Half
In the second half, the ghost of a fisherman appears—quietly, yet filled with profound sorrow. His presence em […]
[Tech Blog] SimpleNet: Four Remarkable Ideas That Changed Anomaly Detection
In manufacturing quality control, AI anomaly detection is becoming an essential technology. Yet missing even a single unpredictable, minute defect, such as a hairline scratch, a barely visible color unevenness or a slight misalignment of a part, is not acceptable.
[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.
Introducing Our AI Visual Inspection System Document Download Page
For everyone considering introducing an AI visual inspection system: the TOMOMI RESEARCH website has a Document Download page that brings together a range of materials to help with your evaluation.