PatchCore Boosts Visual Anomaly Detection in Edge Impulse

Earlier this year, Edge Impulse released a powerful new learning block that adds anomaly detection to your visual inspection tasks. Previously, this block only included support for the Gaussian Mixture Model (GMM) scoring function. The application of GMM on the feature maps allows for a nuanced detection of irregularities, providing outputs that include not only the presence of an anomaly but also its specific location within the image. 

Edge Impulse has now added the PatchCore scoring function to its Visual Anomaly Detection (FOMO-AD) learning block for Enterprise users, enhancing detection accuracy and efficiency for any edge device, from MCU to NPU and GPU.

Visual Anomaly Detection (FOMO-AD) learning block with GMM or PatchCore scoring functions.

What is PatchCore?

PatchCore is a state-of-the-art algorithm designed for detecting anomalies by breaking down images into smaller patches. Each patch is compared to a core set of normal patches, allowing PatchCore to catch even small, subtle anomalies that might go unnoticed by traditional methods. This makes it ideal for industries like manufacturing, agricultural, healthcare, and automotive, where even tiny defects can have significant consequences.

Why PatchCore Matters

Read more about the PatchCore scoring function for Visual Anomaly Detection in the Edge Impulse documentation!

Anomaly scores are available per-region for anomalous data; confidence thresholds can also be set to determine anomalous versus nominal data identification.

Applications and Impact

With PatchCore, Edge Impulse provides a more reliable and accurate solution for visual quality control across industries. Whether detecting defects on production lines or anomalies in agricultural settings, just to name a few, this integration allows users to identify issues early, reducing waste, increasing worker safety, and improving efficiency.

Take the Next Step

Unlock the power of PatchCore with Edge Impulse’s Enterprise platform. Sign up for a free Enterprise trial today and explore how this advanced visual anomaly detection can transform your visual inspection processes.

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