FeedConstruct has confirmed the launch of AJNA, an artificial intelligence (AI) and machine learning (ML) enhanced feed solution for live scouting data.
AJNA, designed to provide sports data in a faster and more efficient manner, is to be debuted at this week’s sports marketing and media convention in Monaco – Sportel Monaco.
Translated as a third eye, it is an augmented live video streaming which recognises the game flow of sporting events, initially just for football, providing advanced player tracking in live mode while collecting technical data to create new markets to bet on.
Vigen Badalyan, BetConstruct Founder and CEO, commented: “Machine learning penetrates IT sectors and as a forward-looking company, we seek the ways to infuse our solutions with methods of automated data analysis. The concept of our solution bares its roots for Hindu tradition, the third-eye chakra called AJNA specifically.
“The on-field observation of a scout provides rather accurate data, whereas the augmented streaming reveals insights to the game flow that a human eye can’t see. With AJNA, we enrich our sports betting offering with additional augmentation and a more statistical data gathered.”
Statistics that can be converted into unique betting markets include ball possession, as well as a player’s speed or distance run per game from the extended personal tracking.
The solution consists of a single or double camera setup. As it delivers the streaming, the AJNA solution completes an auto field geometry detection from video.
Within just a few minutes, it identifies field scheme and corners with video frames transformed and sent to the tracking system one by one.
Player detection comes into force once the system has completed a custom clusterization on sequences of images for each detected player in order to classify them to a team or referee group.