In this episode, we explore how a national transport corporation revolutionized rail ticketing by implementing Datamatics' AI-powered face recognition system, KaiVision. Facing challenges like long queues, high operational costs, and security concerns, the organization turned to advanced technology to enhance commuter convenience and operational efficiency. KaiVision, developed using public open-source architectures and trained on diverse facial datasets, achieved 99.5% accuracy in passenger recognition and reduced ticket validation times to under 0.5 seconds. With on-premises deployment eliminating internet dependency, the system scaled to accommodate over 1 million passengers daily, cutting operational costs by 80%. Discover how this innovative solution is setting new standards for secure, efficient, and sustainable rail travel.
Explore the full case study here: https://www.datamatics.com/resources/case-studies/how-ai-powered-face-recognition-transformed-rail-ticketing