Measuring Physical Operations in Real Time Using Computer Vision and Pulsar

Learn how Safari AI leverages computer vision and Apache Pulsar to monitor and analyze real-world operations in this technical presentation. Discover the architecture behind a system that processes data from existing camera infrastructure to track key performance indicators like guest occupancy, staff engagement, parking utilization, and queue wait times. Explore how edge devices collect machine learning data through Pulsar's streaming backbone and utilize Apache Flink for real-time processing, enabling enterprises to receive timely metrics and alerts about their physical operations.