Скачать или смотреть Real-Time Spinal Posture Detection Using YOLOv8 Pose | Hazard Alert with Python & MQTT

Unlock the power of AI to enhance human safety and posture monitoring! In this video, we demonstrate how to build a real-time spinal posture detection system using Ultralytics YOLOv8 Pose Estimation, Python, and MQTT. Learn how to extract keypoints from human bodies in video, calculate spinal bend angles, and detect hazardous posture conditions—ideal for workplace safety, ergonomics, healthcare, and smart manufacturing.

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🚀 What You’ll Learn:

Installing YOLOv8 with OpenCV, Pandas, and Matplotlib

Running pose estimation on video files

Extracting and saving pose keypoints to a structured CSV

Calculating spinal bend angles using COCO keypoints (shoulder to hip)

Identifying hazard frames with bending over 60°

Visualizing posture angle distribution with histograms

Implementing real-time MQTT alerts for live camera streams

System architecture for Jetson or GPU-based deployments

🛠️ Use Cases:

Ergonomic compliance on factory floors

Physiotherapy movement tracking

Workplace injury prevention

Posture coaching in sports and fitness

📈 Includes architecture diagram, annotated code, and sample data output for production-ready deployment.

💡 Whether you're a data scientist, IoT engineer, or industrial automation specialist, this tutorial equips you with practical tools to bring AI to the edge and ensure safer environments.

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