Research and methodology from Sponsorlytix sponsorship vision
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Scientific notes on computer vision, vision-language models, and LLMs applied to sports sponsorship measurement across football, tennis, combat, basketball, motorsport, and cricket. Built by Eagle Eye for rights holders and brands who measure what audiences actually saw.
Attention and saliency for quality-weighted sponsorship media value
Moving beyond raw seconds with saliency-aware sponsorship media value.
Synthetic data and domain adaptation for sports brand detectors
Training robust sports brand detectors with synthetic arenas and domain adaptation.
Video VLMs for temporal exposure scoring across halves and sets
Scoring sponsorship visibility through time with video vision-language models.
LLMs reconciling sponsorship contracts against measured exposure
Using large language models to map contract inventory clauses to Eagle Eye exposure ledgers.
Boundary rope and pavilion advertising measurement in cricket
Boundary boards, rope marks, and pavilion fascias scored across overs and camera packages.
Car livery and trackside board detection in motorsport coverage
High-speed livery marks and trackside boards measured through onboard and circuit cameras.
Jersey and courtside LED OCR with vision-language models
Combining classic OCR with VLMs to read basketball jerseys and rotating courtside boards.
Cage and ring LED measurement for combat sports broadcasts
BKFC-style cage LEDs, mat marks, and corner pads measured frame by frame.
Court sponsorship visibility under WTA and ATP broadcast cameras
Measuring court, net, and backdrop sponsorship when tennis cameras cut between baselines and aerials.
Pitch-side LED and digital board brand detection with computer vision
How Eagle Eye computer vision locks onto LED ribbon and digital boards across football broadcasts.