CUTTING-EDGE MONITORING BEYOND PASSENGER COUNTING
Nomad Digital’s AI-driven passenger counting systems give operators valuable insights into train loading and passenger behaviour to improve efficiency and passenger experience. Advances in technology, including WiFi tracking and image processing, along with expertise in delivering WiFi and internet access, enable Nomad Digital to provide a solution without the need for sensors.
Nomad Digital’s automatic passenger counting systems for transport use WiFi device tracking to monitor passenger numbers by counting WiFi-enabled devices, even if they are not connected to the onboard WiFi. AI-driven analytics refine this data to account for passengers with multiple or no WiFi devices to present an accurate relative load across the train.
AI-Driven Image Processing offers real-time load monitoring by utilising onboard CCTV cameras to deliver precise passenger occupancy in each coach. The system processes data locally on the train in real-time, without the need to store or transmit data off the train; hence, it does not impact passenger privacy. It also detects other objects, including bicycles and luggage, helping prevent prolonged blockages in aisles and vestibules.
Building detailed transport data insights into passenger behaviour improves operational efficiency and enhances passenger service, ensuring a smoother and more enjoyable travel experience. The solution leverages the power of edge computing and advanced cloud-based analytics to process vast amounts of data cost-effectively.
