About CricKineticsAI

Why We Created This

Cricket bowling is one of the most technically demanding skills in sports, requiring perfect synchronization of multiple body segments moving at high speeds. Professional bowlers spend years perfecting their technique, often relying on expensive coaching and specialized equipment that's out of reach for most aspiring cricketers.

We created CricKineticsAI to democratize access to advanced biomechanical analysis. Our mission is to provide every cricketer—from grassroots players to aspiring professionals—with the same level of technical insight that was previously available only to elite athletes with access to sports science labs.

By leveraging cutting-edge artificial intelligence and computer vision technology, we've made it possible to analyze bowling technique using just a smartphone video. No expensive equipment, no specialized facilities—just upload your video and receive detailed, actionable insights about your bowling biomechanics.

• Accessible to cricketers at all levels and budgets
• Objective, data-driven analysis removes guesswork
• Identifies injury risk factors before problems develop
• Tracks progress and technique changes over time
• Provides professional-grade insights instantly

The Science Behind It

CricKineticsAI combines state-of-the-art deep learning with established sports biomechanics research to deliver accurate, meaningful analysis of your bowling action. Our system uses parallel neural networks working in concert to extract comprehensive information from your video.

At the core of our technology is YOLO (You Only Look Once) object detection, running simultaneously for two critical tasks: precise ball tracking to determine release point and speed, and human pose estimation to capture the 3D positions of key body landmarks throughout the delivery stride.

The extracted pose data is then processed through our biomechanical analysis engine, which calculates key performance indicators based on peer-reviewed cricket science research. These metrics include joint angles, segment velocities, and coordination patterns that have been scientifically linked to bowling speed, accuracy, and injury risk.

Our analysis covers critical biomechanical factors including front knee bracing angle (associated with pace generation), hip-shoulder separation (counter-rotation), lateral trunk flexion (injury risk factor), and arm position timing—all scientifically validated metrics used by professional cricket biomechanists worldwide.