License Plate Recogntiont using Supervised Learning with OpenCV


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Aeroplane travellers often face the problem of missing their baggage at the airport due to unorganised baggage sorting. This can be solved by tracing the bags with minimum human involvement. This paper presented here introduces such a system that can trace bags based on a unique identity given by a RFID based system. Here a RF reader module called EM18 is used for identifying each baggage. Each bag will have its own RF tag that can be read by a reader. Each card has a unique identity number associated with. If a baggage is checked in at the departure airport the number of corresponding RF tag is uploaded into database. This database can be created using nodemcu controller board. Current status of the baggage can be monitored using a local webpage. If the baggage is at the arrival airport same way this number is uploaded into database and can be observed through webpage. This system is very efficient since most of the process is automated. EM18 module can be interfaced with nodemcu using serial UART.


????????? One of most problematic process air travellers go through is claiming their baggage at the airport. Often travellers have to wait days to get their baggage. This leads to a very inconvenient baggage system that not very helpful for anybody. This problem arises due to human involvement in baggage sorting. This can be solved by introducing an automating baggage check in system. This paper implements such a system based on Nodemcu.


  • Manual baggage entry system
  • Only name tags to check in


  • Nodemcu based baggage tracing system
  • RF reader is used for identifying baggage
  • Each bags has its own tag
  • Automatic entry system


??????? This system is a fully automated baggage check in system which is hundred percent reliable since it involves zero human help. This system is very helpful in sorting and clearing baggage in an airport. System adapted here is very easy to implement anywhere. This system has been implemented

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