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Computer Vision Tracking
Proprietary YOLO-based ball detection models track the cricket ball against challenging backgrounds (sky, green grass, players' clothing) at sub-millisecond speeds.
Next-Gen Decision Science
Artificial Intelligence & DRS Review
CricsApp is pioneers in deploying deep learning computer vision and acoustic algorithms directly on the cricket field, bringing professional tracking solutions to local cricket.
Smartphone-Ready 3D Ball Tracking
By utilizing advanced spatial calibration and object-detection models, CricsApp maps standard smartphone camera footage into a full 3D coordinates system, calculating pitching zones, flight speeds, bounce heights, and wicket paths.
Watch DRS Simulation Demo📈
Trajectory Prediction
Using physical flight models, CricsApp projects the ball path post-bounce, estimating whether the ball would hit, clip, or miss the stumps for LBW decisions.
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Acoustic Edge Detection
Our UltraEdge system analyzes smartphone microphone frequency spikes. By filtering ambient noise, it isolates the distinct audio signature of ball-on-bat contact.
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Smart Score Validation
An automated rule-based validation engine double-checks score inputs in real-time, detecting umpire coordinate errors, over anomalies, and invalid scoring runs.
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Performance Analysis
Machine learning models construct player profile indexes, automatically mapping wagon wheels, bowler pitching spots, and batting control percentages.
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AI Match Insights
Dynamic match telemetry models compute sub-second Win Probabilities, run forecasts, partnership metrics, and required run rate curves based on historical league data.
Interactive Preview
LBW Path Simulation
This interactive visualizer demonstrates how our predictive physics algorithms calculate ball trajectories. Standard smartphone cameras capture ball coordinates at the point of release, bounce, and impact, and the cloud engine projects the stump clearance.
- Pitch: Leg stump / Good Length
- Impact: In line with stumps
- Projection: Hitting Middle Stump (Wickets)
Continuous R&D and AI Research
At CricsApp, we believe that innovation is a continuous journey. Chandraja Infotech is committed to investing in Artificial Intelligence research, computer vision optimization, and statistical modeling. We collaborate with sports scientists and engineers to refine our ball tracking and acoustic models, bringing stadium-quality officiating technology directly to grassroots playing fields.
✓ Accelerating Computer Vision models on Cloud GPUs | ✓ Multi-Angle Video Sync | ✓ Acoustic Wind Noise Cancellation
Inquire About SDK Integrations