Pose estimation goes beyond detecting keypoints. Real-world challenges like clothing variation, occlusion, lighting, motion blur, camera angles, and unseen postures create localization errors. Robust AI needs diverse data, biomechanics, and adaptive learning.

Pose estimation converts human movement into measurable data, enabling rehab progress tracking, ergonomic compliance, co-bot safety, and manufacturing accuracy. It shifts motion from visual assumption to quantifiable intelligence for precision and prediction.