AI Deadlift Form Analyzer | Real-Time Bar Path & Biometric Tracking with YOLO скачать в хорошем качестве

AI Deadlift Form Analyzer | Real-Time Bar Path & Biometric Tracking with YOLO

In this video, I demonstrate a custom-built AI system designed for real-time deadlift form analysis. Utilizing a specialized computer vision pipeline, the system tracks the barbell and plates while simultaneously monitoring human biometrics. Key features of this project include: Biometric Point Extraction: Real-time tracking of the shoulder, hip, and knee to monitor joint angles and hinge mechanics. Object Detection: Precise localization of the bar and weights to visualize the bar path. Form Correction: Automated detection of back alignment and leg extension to ensure lifting safety and technical precision. This tool is built for athletes and coaches who want to leverage deep learning to prevent injuries and optimize performance. Whether you are a developer interested in YOLO-based pose estimation or a powerlifter looking for data-driven insights, this project showcases the power of AI in sports science. Cookbook: https://github.com/Labellerr/Hands-On... Github: https://github.com/Labellerr Chapters: 0:00 Introduction: AI-Powered Real-Time Deadlift Analysis 0:24 Subscribe Call-to-Action 0:31 Project Overview: Building a Virtual Coaching Dashboard 0:48 Key Features: Body Tracking (Shoulder, Hip, Knee) & Barbell Analysis 1:09 Real-World Applications: Remote Coaching, Injury Prevention, Gym Integration 1:40 Core Technical Logic: Hip Angle Verification (45°-90° Rule) 2:25 Velocity Monitoring for Stability During Descent 2:36 Dashboard Goals: Rep Counting, Timing, Graphs & Form Feedback 2:48 Step 1: Importing Libraries & Cloning Helper Repository 3:04 Step 2: Raw Deadlift Video Dataset 3:44 Step 3: Extracting 50 Frames for Annotation 4:08 Step 4: Annotating Keypoints (Shoulder, Hip, Knee, Barbell) on Labeler 4:48 Step 5: Exporting Annotations & Converting COCO to YOLO Format 5:25 Step 6: Training YOLO 11n Pose Model 5:57 Step 7: Running Initial Inference on Raw Video 6:27 Step 8: Building the Advanced Analysis Dashboard 6:33 Dashboard Metrics Explained: Rep Counter, Live/Average Time, Peak Velocity 7:01 Form Logic: Setup, Ascent & Lockout Phases with Angle Thresholds 8:17 Step 9: Running the Full Dashboard Inference 9:03 Results: Live Dashboard with Displacement & Velocity Graphs 10:54 Conclusion & Additional Resources Interested in learning more about our services? Website: https://www.labellerr.com Book a Demo: https://www.labellerr.com/book-a-demo Find us on Social Media Platforms: LinkedIn:   / labellerr   Twitter: https://x.com/Labellerr1 #deadlift #aiposeestimation #computervision #yolo11 #sportsai #powerliftingtech #fitnessai #biomechanics #deeplearning #formanalysis #aihealth #barpathtracking #pythonprogramming #gymtech #opencv #machinelearning #liftingform #aianalytics #smartgym #techinfitness