Code Demo | Defect Detection with Anomalib Edge AI Reference Kit | Intel Software

Опубликовано 18 сентября 2023, 15:00

An in-depth exploration of the code that makes our Edge AI Reference Kit’s Defect Detection with Anomalib application work. Our kits are ready-made with prebuilt components and pretrained models to accelerate your AI solution development.

Explore the inner workings behind each module that powers our application, and walk through how it runs step-by-step. Follow us through installing the requirements for this application, downloading and training models, testing your trained model, optimizing for performance, and deploying the application itself. After exploring and understanding the code, you will be equipped to build on top of this code for your own custom solutions.

OpenVINO is an open source toolkit that accelerates AI inference on a wide variety of hardware, including CPUs and GPUs, and powers our Edge AI Reference Kits.

The kit in this video focuses on Defect Detection with Anomalib, an end-to-end AI solution that detects defects in real time. Anomalib is an open source library that enables unsupervised anomaly detection, a method that allows usage of imbalanced datasets. In real world situations, there are many rare or unknown defects that can occur, which cannot be handled by supervised learning.

Using computer vision, object detection, defect detection, and optionally a Dobot robot, Defect Detection with Anomalib goes through training, testing, optimization, and deployment to a variety of Intel hardware. It enables faster, more accurate detection of defects, subsequently improving security and operational efficiency.

Download the Intel Distribution of OpenVINO Toolkit: intel.ly/3JAW716

Our Github with Jupyter Notebook: github.com/openvinotoolkit/ope...

Watch the Solution Overview companion video: youtube.com/watch?v=ho6R69EDya...

OpenVINO 2023.0 — OpenVINO™ documentation: bit.ly/3Yyv1xX

OpenVINO™ Toolkit Medium: medium.com/openvino-toolkit

Learn more about our Edge AI Reference Kits: intel.ly/3YG3Q4t

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Code Demo | Defect Detection with Anomalib Edge AI Reference Kit | Intel Software