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Its machine learning leads to continuous improvements in performance, making data acquisition systems more adaptive and responsive to changing conditions. With its advanced image and motion recognition capabilities, AI can be trained to recognise and count passengers under various conditions, offering a significantly higher accuracy rate. Ai can be trained for all types of transport and situations For instance, ferries may have larger doorways and more open spaces, while trams might have frequent stops with rapid passenger movement. Additionally, certain cultural or regional behaviors - like passengers clustering near doors or moving in groups - can be incorporated into the AIs learning, making the system globally adaptable. As we move towards smarter cities and systems, AI-powered solutions will undoubtedly play an integral role in shaping the data acquisition landscape.