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Join us for an insightful session with Adrian Boguszewski, AI Software Evangelist at Intel, as he demonstrates how to build an intelligent queue management system using Ultralytics YOLOv8 and OpenVINO! 🚀 In this video, Adrian walks you through the entire process, from video capture to real-time person detection, and explains how to optimize model performance using OpenVINO's powerful toolkit. Key highlights include: 🌟 Introduction to YOLOv8 for accurate, real-time object detection 🎥 Steps to capture and process live video streams for queue management 📊 Utilizing OpenVINO for enhanced AI inference on multiple hardware platforms 🛠️ Model conversion and optimization techniques, including post-training quantization 🔧 Practical coding examples and a live demo showcasing the system's capabilities Whether you're a seasoned AI developer or a newcomer to computer vision, this tutorial offers valuable insights into creating efficient, scalable solutions for retail and other industries. 🔗 Dive deeper into the topics discussed in this video: Revolutionizing Queue Management with Ultralytics YOLOv8 and OpenVINO: https://www.ultralytics.com/blog/revo... Achieve Faster Inference Speeds with Ultralytics YOLOv8 & OpenVINO: https://www.ultralytics.com/blog/achi... Ultralytics HUB: https://www.ultralytics.com/hub Ultralytics YOLOv8: https://www.ultralytics.com/yolo Ultralytics Home: https://www.ultralytics.com 👍 If you find this video helpful, please like, subscribe, and visit our website for more details on how you can leverage Ultralytics' AI solutions to transform your projects. #YOLOv8 #Ultralytics #OpenVINO #QueueManagement #AI #ComputerVision #RetailTech #AIInnovation