LeapMind Co., Ltd., today announced a new Deep Learning model “Efficiera Anomaly Detection model” based on its ultra-low power consumption AI inference accelerator IP "Efficiera®" and will be ...

These strategies are designed to help the model learn resilient feature representations, which are vital for accurate anomaly detection in noisy real-world scenarios.

Traditional anomaly detection systems rely on supervised learning, where models are trained on labeled datasets containing both normal and defective samples. However, in most industrial settings ...

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well ...

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in low ...