DEEP TECH INNOVATION
Replacing Million-Dollar InfrastructureWith a Smartphone
Smartphone-first edge AI for cricket DRS, badminton line judging, and low-latency officiating.
Two proprietary AI engines powering affordable, edge-based sports officiating and analytics.
Edge AI stack
Edge AI
Zero Cloud
Low Latency
Smartphone-first
Engine comparison
Two proprietary engines. One edge-first playbook.
Cricket and court sports are different surfaces, but the operating principle is the same: capture on the phone, compute on device, and deliver instant assistive decisions.
Engine 1 · Cricket DRS
ThirdEye AI
Edge Computing Decision Review System — Cricket
Instant Ball Speed Engine
Uses 60/120fps smartphone capture and 22-yard pitch geometry to calculate velocity with scientific precision.
Single-Camera Hawk-Eye + LBW
Maps stumps and crease coordinates, then extrapolates the ball path to predict clipping, hitting, or missing wickets.
Acoustic UltraEdge
Microphone frequency isolation syncs leather-on-wood and leather-on-pads sounds with the frame-by-frame video timeline.
Engine 2 · Court Referee
VantageRef BirdEye AI
Top-Down AI Court Referee — Badminton and Court Sports
High-Speed Global Shutter Sensor
1080p at 60/120fps captures the entire plane simultaneously to keep shuttle boundaries crisp at 300+ km/h.
Local Wi-Fi Pipeline
Dedicated 5GHz and 6GHz transfer streams directly to the referee phone with zero cloud consumption and no latency.
Zero-Occlusion Line Judging
The top-down view removes player foot occlusion and evaluates in/out decisions with pixel precision.
How ThirdEye AI works
Cricket DRS through a single smartphone lens.
The flow pairs frame-by-frame tracking with pitch geometry and audio synchronization to create a practical edge-based review loop.
Smartphone Camera
Captures 60/120fps pitch video from a single phone.
Ball Tracking
Tracks ball position frame-by-frame using pixel isolation.
Physics Trajectory
Calculates speed, bounce, and projected path.
LBW Prediction
Maps stumps and crease geometry for impact prediction.
UltraEdge Audio Sync
Syncs mic waveform with video frames for edge detection.
Decision Review
Outputs a clear assistive review decision.
How VantageRef BirdEye AI works
Badminton and court officiating from a top-down capture plane.
A global shutter and local pipeline keep the shuttle vector readable, the boundary signal clean, and the decision instant.
Global Shutter Capture
Shuttle Tracking
Deceleration Frame
Pixel Boundary Check
In/Out Decision
Edge AI architecture
Four layers turn the phone into a complete officiating stack.
Capture, compute, route, and decide inside a compact on-device pipeline.
Capture Layer
Camera and microphone sensors feed the system from the device itself.
Edge AI Engine
On-device detection and inference keep the decision loop local.
Local Pipeline
Wi-Fi Direct transfers data without cloud dependency or round-trip delay.
Decision Layer
Athletes, referees, and organizers receive instant assistive decisions.
Why this matters
Portable edge AI can lower the cost of trusted officiating.
The value is not just in better computer vision; it is in making accurate review and line judging available where expensive infrastructure never reached.
Traditional System
Hardware Cost
Multi-million infrastructure
Latency
Cloud and broadcast pipeline delay
Accessibility
Elite tournaments only
Deployment
Stadium infrastructure
Bias Control
Manual and human-dependent
BSO Edge AI
Hardware Cost
Smartphone-first setup
Latency
On-device instant decision
Accessibility
Schools, academies, grassroots
Deployment
Portable setup
Bias Control
Automated assistive intelligence
Bring edge AI to the field.
Explore how smartphone-first officiating can make trusted sports infrastructure affordable, portable, and ready for scale.
By team BSO
