Utilize computer vision to recognize players from different sports without using facial/biometric information for GDPR compliance.
Generate time-coded sequence-based metadata around players, kits and objects without using facial information.
Accelerates the creation of highlights/recommendations through AI-driven workflows
Increase creation possibilities for new media products and personalised content by getting access to what is hidden or unseen
Enabling deeper search capabilities of important players in sports archives without using facial or personal data.
Detection and tracking of players without using facial embeddings but by different sports identifiers, objects and kits on-scene level.
Handle motion blur and occlusion while generating granular metadata
Automated Event Recognition and Classification of the localized highlight-worthy moments
Automated detection of the club, and sponsor logos within a match.
Automated detection of sponsor logos to analyze digital exposure of brands
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