I will build sports computer vision systems, pose estimation, and player tracking apps

L
luatz001
L
luatz001
Luatz

About this gig

As a professional Computer Vision Engineer, I specialize in building, optimizing, and deploying real-time athletic tracking and pose-estimation pipelines.


What I Offer in Sports Tech:

  • 2D/3D Human Pose Estimation: Tracking athletic joint angles (shoulders, hips, knees, ankles) using YOLO-Pose or MediaPipe for physical therapy, squat depth checks, or golf swing analysis.


  • Optical Player & Ball Tracking: Designing pipelines to detect and track athletes and small, high-speed objects (balls, pucks, rackets) using customized object detection combined with algorithms like ByteTrack and DeepSORT.


  • Tactical Field Mapping (Homography): Projects perspective-warping math onto broadcast feeds to map 3D player coordinates onto a flat, 2D tactical pitch or court layout.


  • Automated Repetition & Form Analysis: Building logic loops that automatically recognize gym exercises, count reps in real-time, and flag poor or dangerous posture.


  • Video Automation & Analytics: Auto-generating tactical heatmaps, speed/distance analytics, and tracking zone crossings.


Ready to bring advanced, camera-only spatial intelligence to your sports or fitness project? Contact Now

Get to know Luatz

Luatz

Computer Vision, Machine Learning, and Deep Learning

  • FromCambodia
  • Member sinceJul 2026
  • Languages

    English
I help businesses transform images, videos, and sensor data into intelligent, real-time solutions using Computer Vision, Machine Learning, and Deep Learning. From concept to deployment, I design and develop AI systems that automate visual inspection, detect and track objects, recognize faces, read text with OCR, analyze human poses, process LiDAR and point clouds, and perform image segmentation and 3D reconstruction.