Jump-Start AI Development
Explore the real-world possibilities of AI application development. Develop efficiently across industries like retail, manufacturing, and healthcare—powered by the OpenVINO™ toolkit.
Edge AI Reference Kits
Created by Intel's AI evangelists, these kits use the OpenVINO toolkit. The kits include Jupyter* Notebooks, demo videos, tutorials, and more to help you build your app faster.
This comprehensive solution to quality control uses computer vision and unsupervised learning for anomaly detection to catch manufacturing defects in real time.
- Detects anomalies
- Uses the Anomalib* deep learning library
- Use cases include manufacturing, healthcare, and agriculture
Automate meter reading using computer vision and segmentation to transform analog data into digital data. This solution is useful for any industry that uses analog meters.
- Object detection 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 queues and reduce wait times.
- Object detection and counting
- Uses YOLOv8* or later
- Use cases include retail business 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.
- Object detection and tracking
- Uses YOLOv8 or later and supervision
- Use cases include retail business
Use 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 or later
- 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 or later and Distil-Whisper
- Use cases include healthcare, retail, and finance
This real-time visual generative AI (GenAI) workflow takes multimodal inputs to produce visual outputs. It facilitates rapid prototyping, instant iteration, and easy visualization of complex concepts.
- Image creation with GenAI
- Uses Whisper, Llama, nanoLLaVA, latent consistency models, and super-resolution
- Use cases include retail, real estate, education, and entertainment
Learn More from AI Evangelists
Get more inspiration for your next AI app, and find the answers you need to make progress.
AI Programming Workshops for OpenVINO Toolkit
Learn with like-minded AI developers by joining live and on-demand webinars focused on GenAI, large language models (LLM), AI PCs, and more, including code-based workshops using Jupyter Notebook.
Unlock the Power of LLMs
Learn more about effective strategies to optimize and deploy LLMs using the OpenVINO toolkit.
Sign Up for Exclusive News, Tips & Releases
Be among the first to learn about everything new with the OpenVINO toolkit. Sign up now for early access to product updates and releases, exclusive invitations to webinars and events, valuable training and tutorial resources, exciting contest announcements, and other breaking news announcements.