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Computer Vision & Deep LearningSystem ID: EVR-VISION-04•6 min read

Hawk-Eye Trajectory & Kinematics Tracking AI

Vision-based high-speed tracking system simulating Hawk-Eye trajectory mapping for cricket pitch projection and automated decision support.

Primary Impact:Sub-millimeter Precision
Core Stack:PythonOpenCVTrajectory PredictionKinematics
Hawk-Eye Trajectory & Kinematics Tracking AI
!The Challenge

Operational Friction & Bottlenecks

Tracking small, ultra-fast projectiles (140+ km/h) under varying broadcast camera framerates and motion blurs is computationally intensive and error-prone.

✓The Evaroid.AI Solution

Engineered AI Architecture

An advanced algorithmic kinematics and computer vision model implementing Kalman filters, parabolic ballistic physics, and 3D pitch coordinate calibration.

System Architecture

Technical Execution & Pipeline Flow

EVR-VISION-04 FLOW
1
Multi-angle video feed synchronization and pitch homography transformation
2
High-contrast color space masking and spherical blob detection
3
Kalman filter state estimation bridging frames with extreme motion blur
4
Physics-based parabolic curve fitting simulating aerodynamic drag and pitch bounce
5
3D wicket plane projection for automated LBW review

Measurable Results & Business Impact

±2mm
Trajectory Tracking Tolerance
145 km/h
Tested Ball Velocity Ceiling
60 FPS
Real-Time Tracking Capability

Key Capabilities & Features

Simulates Hawk-Eye trajectory and impact point prediction
Ball release speed, bounce angle, and deviation measurement
Robust to background crowd movement and camera shake
Instant 3D graphical replay generation

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