Jump-start AI Development with Edge AI Reference Kits
Explore these deployable AI applications or build on top of the open source code. These kits are built using Intel’s OpenVINO™ toolkit and come with Jupyter* Notebook, videos, articles, and more to help you launch your app faster.
A comprehensive solution to quality control using computer vision for anomaly detection. Catches manufacturing defects in real-time, and uses unsupervised learning.
- Detects anomalies
- Uses the Anomalib deep learning library
- Use cases include manufacturing, healthcare, agriculture
Automate meter reading using computer vision and segmentation to transform analog data into digital data. Useful for any industry that uses analog meters.
Object detection and segmentation
AI models from PaddlePaddle
Use cases include energy and manufacturing
Manage queues using computer vision and object detection. This solution incorporates real-time data to optimize the queuing process and reduce wait times.
Object detection and counting
YOLOv8
- Retail business, healthcare
A comprehensive solution to quality control using computer vision for anomaly detection. Catches manufacturing defects in real-time, and uses unsupervised learning.
Anomaly detection
Anomalib
Manufacturing, healthcare, agriculture
Uses data quality measurements and saliency maps to understand the predictions of computer vision models, helping refine them for efficiency and performance.
Data and model explainability
YOLOv8
Transportation, healthcare, retail
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Step-by-step tutorial on creating an intelligent retail queue management system with OpenVINO™ toolkit and YOLOv8. We'll guide you through integrating these tools for a solution in retail checkout settings.
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