This intelligent system identifies marking info of freight railcars and container numbers loaded onboard. Adopting AI deep learning technology, it automatically recognizes and archives parameters including wagon type, car number, rated load, curb weight, volume, conversion length, periodic inspection expiry date, tank capacity gauge (for tank wagons), as well as container IDs.

It comes with abundant data interfaces, featuring high recognition accuracy and fast response speed. Widely deployed at industrial sidings, freight stations and classification yards, the system eliminates errors caused by manual number transcription. It provides objective, unbiased statistics on dwell time of railcars and containers, serving as a solid technical support to accelerate cargo turnover and cut equipment occupation duration.
