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Reddybook Unveils Real-Time Augmented Reality Stats Overlay for Cricket Fans
Key Takeaways
- Reddybook’s AR overlay streams live match data to smartphones, tablets, and AR glasses with sub‑second latency.
- The system identifies player positions, ball trajectory, and event triggers using edge‑computing and AI‑driven computer‑vision.
- Fans can toggle between batting, bowling, and field‑placement analytics that were previously limited to coaching staff.
- Broadcasters gain new revenue streams through personalized, interactive ad placements and premium data subscriptions.
- Built on official ICC match‑feed APIs, the overlay guarantees data accuracy and compliance with governing bodies.
- Future updates will introduce multi‑sport support, 3‑D holographic projections, and deeper integration with social platforms.
How the Real‑Time AR Overlay Works
At its core, Reddybook’s solution fuses three technology pillars: edge computing, computer‑vision AI, and the official ICC live‑feed API. When a match is live, the ICC API pushes JSON packets containing ball‑by‑ball data (runs, wickets, player IDs, pitch coordinates, etc.) to Reddybook’s edge nodes located in data‑centres close to the user’s geographic region. These nodes perform the following steps:
- Data Normalisation: Raw packets are cleaned, time‑stamped, and enriched with historical performance metrics.
- Computer‑Vision Tagging: Using high‑resolution broadcast video streams, an AI model detects players, the ball, and field‑placements at 60 fps. The model assigns a unique identifier to each entity and synchronises it with the live data.
- Overlay Generation: A lightweight WebGL engine renders the AR graphics—run‑rates, heat‑maps, trajectory paths—directly onto the video frame. The output is a
.m3u8stream that can be consumed by any HLS‑compatible player. - Device Delivery: The processed stream is sent via CDN to the end‑user’s device. Because the heavy lifting happens at the edge, the round‑trip latency is usually below 300 ms, delivering a seamless “real‑time” experience.
Developers can integrate the overlay with three SDKs that Reddybook provides: iOS (Swift), Android (Kotlin) and a cross‑platform WebAR kit. The WebAR kit works in modern browsers, meaning fans can access the overlay without installing an app—just by opening a link sent via SMS, social media, or a broadcast graphic.
Technical Architecture
Below is a simplified diagram of the system (the image is included for illustration purposes):
Key components include:
- Edge Nodes: Located in North America, Europe, Asia‑Pacific, and India; each node runs Dockerised micro‑services for data ingestion, AI inference, and streaming.
- AI Inference Engine: Built on TensorRT‑optimised models, it can process up to 1,500 frames per second, making it scalable for simultaneous multi‑match coverage.
- Content Delivery Network (CDN): Leveraging Cloudflare’s Stream Delivery, the AR‑enhanced video reaches end‑users with adaptive bitrate scaling.
- Security Layer: End‑to‑end TLS encryption and token‑based authentication protect both the live data feed and the AR assets.
User Experience on Different Devices
Reddybook designed its overlay to adapt fluidly across three primary device classes:
Smartphones & Tablets
Using the Augmented Reality in Sports SDK, the overlay appears as a semi‑transparent layer that users can pinch‑zoom, swipe, or tap to drill‑down into specific statistics. A “stats toggle” button sits in the top‑right corner, letting fans switch between:
- Batting heat‑maps (shot zones, strike‑rates).
- Bowling analytics (speed, swing, release‑point).
- Field‑placement suggestions (optimal positions based
