Computer Vision & AI Analytics for Sports Performance
Computer vision and AI-powered analytics for sports performance tracking. From ball flight analysis to biomechanics, we build the technology that helps athletes and coaches make data-driven decisions.
Sport-Specific Computer Vision
Purpose-built tracking systems tailored to the unique demands of each sport.
Baseball / MLB
Pitch-level ball tracking with strike zone mapping, spin rate measurement, and trajectory prediction for pitchers, hitters, and coaching staff.
Cricket
Ball trajectory tracking with pitch mapping, LBW prediction, swing analysis, and bowler performance metrics for professional cricket analytics.
Golf
Launch monitor-grade ball tracking measuring launch angle, ball speed, carry distance, and club path analysis for driving ranges and courses.
Multi-Sport Platform
A flexible computer vision platform adaptable to tennis, soccer, and emerging sports. Custom-trained models that transfer across disciplines.
End-to-End Processing Pipeline
From raw camera input to real-time analytics in under a millisecond.
Performance That Matters
Industry-leading accuracy and speed benchmarks across every metric.
Core Capabilities
The building blocks behind our sports computer vision platform.
Ball Tracking & Flight Analysis
High-precision computer vision algorithms that track ball trajectory, spin rate, speed, and launch angle across sports like baseball, cricket, and golf.
Real-Time Video Processing
Process high-speed camera feeds in real-time at 60fps or higher, delivering instant analytics and visual overlays during live play.
Performance Analytics
Transform raw sensor and vision data into actionable performance metrics. Dashboards and reports that help coaches and athletes identify areas for improvement.
Biomechanics Analysis
AI-powered body pose estimation and movement analysis that breaks down an athlete's technique, identifying strengths and corrective opportunities.
Edge AI & Embedded Systems
Deploy optimised ML models on edge hardware for low-latency inference. Our systems run directly on device, enabling offline capabilities and faster response times.
Custom Model Training
Train and fine-tune computer vision models on sport-specific datasets. From object detection to action recognition, we build models tailored to each sport's unique requirements.
Frequently Asked Questions
Sports computer vision uses AI-powered object detection, player tracking, and real-time video analysis to extract meaningful data from game footage. It enables automated performance tracking by identifying and following athletes, equipment, and ball movement across every frame of video.
AI ball tracking uses deep learning models to detect the ball in each video frame and reconstruct its full trajectory, calculating spin rate, speed, and launch angle with high precision. This sports video processing technology powers analytics in baseball, cricket, golf, and other sports where understanding ball flight is critical to performance improvement.
Biomechanics AI leverages body pose estimation and movement analysis to break down an athlete's technique frame by frame. This allows coaches to identify inefficiencies, compare against optimal movement patterns, and make data-driven corrections that reduce injury risk and improve performance.
QverLabs builds multi-sport computer vision solutions with deep expertise in baseball, cricket, and golf. Our sports computer vision platform is designed to be adaptable, so we can extend our object detection and performance tracking models to virtually any sport with custom training.
Our real-time sports analytics pipeline processes high-speed camera feeds at 60fps or higher with sub-millisecond inference latency. This sports video processing speed ensures that coaches and athletes receive instant feedback during live play without any perceptible delay.
Edge AI sports systems run optimised machine learning models directly on embedded hardware, enabling on-device inference with low-latency performance and offline capabilities. This eliminates the need for constant cloud connectivity, making real-time sports analytics possible in any venue or training environment.
Performance tracking dashboards transform raw sensor and vision data into actionable coaching insights, helping organisations make data-driven decisions about athlete development and game strategy. Our real-time sports analytics tools highlight trends, benchmark progress, and pinpoint specific areas for athlete improvement over time.
Yes, we specialise in custom model training using sport-specific datasets tailored to your exact requirements. Whether you need specialised object detection, action recognition, or biomechanics AI, our team builds and deploys sports computer vision models that deliver accurate, real-time results for your unique use case.
Build Sports Tech with Qverlabs
Looking to integrate computer vision into your sports product? We build custom AI solutions for performance tracking, ball flight analysis, and real-time video processing.