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 the OpenVINO™ toolkit and include Jupyter* Notebook, videos, articles, and more to help you launch your app faster.
This comprehensive solution for quality assurance uses computer vision and unsupervised learning to catch manufacturing defects in real time.
- 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. This is useful for any industry that uses analog meters.
- Detects objects and segmentation
- Uses 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.
- Performs object detection and counting
- Uses YOLOv8*
- Use cases include retail businesses and healthcare
Use computer vision to detect, count, and track objects within specified zones, such as retail shelves and point-of-sale stations, while providing real-time analytics data.
- Performs object detection and tracking
- Uses YOLOv8 and supervision
- Use case includes retail businesses
This kit 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
- Uses YOLOv8
- Use cases include transportation, healthcare, and retail
Use speech recognition and natural language processing (NLP) in a voice-activated tool that can respond with annotated summaries, actionable recommendations, and insight.
- NLP and speech recognition
- Uses Llama 2 and Whisper
- Use cases include healthcare, retail, and finance
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Build a Smart Queue Management System
This tutorial shows how to create an intelligent retail queue management system using the OpenVINO toolkit and YOLOv8. It guides you through integrating these tools for a solution in retail checkout settings.
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