Case Study: Northern achieves 98.3% passenger counting accuracy with Icomera AI video analytics

A Icomera Case Study

Northern improves passenger counting accuracy to 98.3% with Icomera

Northern, a UK rail operator, was interested in assessing the feasibility of using AI technology to analyze anonymized onboard video for Automatic Passenger Counting (APC). They partnered with their long-standing technology vendor, Icomera, to explore this challenge.

Icomera developed and deployed a sophisticated AI video analytics algorithm that was integrated with Northern’s business intelligence tool. The solution achieved a verified accuracy rate of 98.3%, providing Northern with more accurate data on passenger volumes than ever before. This allows for improved fleet and staff capacity planning and helps passengers choose less crowded carriages.


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