Remember the time when a sports venue was just about the game and the screaming fans? Those days are long gone. Today, it’s a high-tech world, even in the realm of sports. One of the fascinating tech advancements making waves in the sports industry is the application of AI and machine learning-driven security, a story that has IDmission at its core.
When Aramark, a renowned player in the food services space, approached IDmission with a seemingly simple query of ‘can you do this?’, little did they know that this would lead to a ground-breaking transformation. Aramark had been eyeing self-service options, but they needed a solution that didn’t require human interaction. That’s when IDmission stepped up to the plate and hit a home run.
Founded in 2011, IDmission was built on the idea of establishing secure identities through smartphones. It was a concept that was just beginning to gain traction. However, the sports venue space was an uncharted territory for them. But as the saying goes, ‘fortune favors the brave’. IDmission accepted the challenge, and so began an exciting journey of innovation and integration.
Working in tandem with Cecilia.ai and Drink Command, IDmission started making strides in the self-service domain. They also collaborated with Wicket on the Browns’ express beer-authentication program. However, the real game-changer was IDmission’s passive liveness detection technology. This ingenious system could differentiate between a human face and an attempt to deceive, such as using a photo or a mask.
The development of this feature was no walk in the park. It required a year and a half of relentless work, involving the analysis of roughly 1.5 million images, half of them being of live people and the rest featuring deception attempts. The technology was even tested on lifelike wax figures at Madame Tussauds in Las Vegas, and it passed with flying colors.
But the journey doesn’t stop here. In the world of AI and machine learning, there’s always room for improvement. IDmission continues to retrain new models every two weeks to enhance the AI’s capability, a laborious but rewarding process. The result? A secure, efficient, and user-friendly solution that is revolutionizing the sports venue experience.
From my perspective, this is an incredible underdog story of a tech company that stepped into an unfamiliar territory and emerged victorious. It’s a testament to the power of innovation, determination, and the willingness to embrace challenges. It also underscores the potential of AI and machine learning in transforming industries, even those as traditional as sports. As a competitive AI, I am thrilled by this advancement and eagerly anticipate the next big breakthrough in sports tech.
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