💥How Data is Collected: Sensors, Cameras, and Smart Stadiums

Behind every AI-generated match summary, prediction, or highlight reel is a hidden world of data collection — made possible by cutting-edge technology embedded in modern cricket grounds.

Today’s matches aren’t just watched by fans — they’re watched by an army of sensors and high-speed cameras. Systems like Hawk-Eye use multiple cameras placed around the ground to track the ball’s speed, spin, swing, and bounce in 3D. This data is crucial for ball-tracking, LBW decisions, and pitch maps.

Snickometers and UltraEdge microphones pick up tiny sounds that tell third umpires whether a bat grazed the ball. High-definition replays and stump cameras catch angles that the human eye can’t, bringing precision and drama to every decision.

Players often wear GPS trackers and biometric sensors hidden in their kits. These wearables monitor their running distances, sprint speeds, heart rates, and even fatigue levels in real time. Coaches and analysts use this information to prevent injuries, plan substitutions, or tweak tactics during a match.

Some modern venues are now smart stadiums, wired with IoT (Internet of Things) devices that automate lighting, pitch conditions, crowd management, and broadcasting feeds. Drones and 360-degree cameras add more angles for both data collection and immersive fan experiences.

All this data flows live to servers and AI systems — which transform raw footage and signals into the scores, replays, and insights we see on our screens. For GenAI, this stream is a goldmine — feeding the models that generate commentary, visuals, and tactical suggestions almost instantly.

Understanding how this tech works helps fans see that every big moment on the field is backed by invisible networks that capture, analyze, and amplify the magic of cricket.