Abstract
In the development process of automated warehouse, the tags in the sorting system are miscellaneous and disorderly, resulting in the labor and time consumption of sorting operations. Therefore, this paper designs a label recognition APP for warehouse sorting system. Based on Zxing barcode recognition technology and ultra-lightweight OCR technology, this paper fully taps the ability of the latest text detection algorithm DB and the classical text recognition algorithm CRNN, and designs an Android APP that can identify various labels. Finally, select a 13. 56 MHz high-frequency RFID tag, and read the information by using the NFC technology on Android phones. With the help of the automatic identification and extraction technology and the frequency identification reading and writing technology, the label identification of the automatic sorting system is completed.
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References
Feng, M., Cao, D., Li, J.: Design and research of pig face recognition APP based on ResNet50 model. Comput. Age, (06), 46–50 (2020). (in Chinese)
Lei, G.: Design and research of mobile logistics APP based on handheld terminal. Digit. Technol. Appl. (08), 177–178 (2015). (in Chinese)
Wang, X., Gao, T.: Translation optimization method based on OCR optical character recognition. Laser J. 41(12), 156–160 (2020)
Xu, A., Zhu, J., Chen, Y.: Research on the recognition technology of QR two-dimensional code based on fuzzy invoice. Mod. Commer. Ind. 40(30), 212–213 (2019). (in Chinese)
Kong, B.: The application of Zxing barcode scanning technology in mobile digital library. Comput. Knowl. Technol. 12(27), 196–198 (2016). (in Chinese)
Su, C.: Research on the design and implementation of intelligent tally system based on OCR technology. Res. Ind. Innov. (20), 115–116 (2020). (in Chinese)
Hao, Y., Qiao, G., Tan, Y.: Research on automatic word error correction method for OCR text recognition. Comput. Simul. 37(09), 333–337 (2020). (in Chinese)
Vivaldi, F., et al.: A temperature-sensitive RFID tag for the identification of cold chain failures. Sens. Actuators A Phys. 313, 112182 (2020)
Huang, Y.: RFID technology and application, p. 230. People’s Posts and Telecommunications Press, Beijing (2013). (in Chinese)
Yang, Z.: Research and label design of UHF RFID system. Hunan University, Changsha (2009). (in Chinese)
Gan, W., Zhang, T., Zhu, Y.: On RFID application in the information system of rail logistics center. Int. J. Educ. Manag. Eng. 3(2), 52–58 (2013)
Ting, P.-H.: An efficient and guaranteed cold-chain logistics for temperature- sensitive foods: applications of RFID and sensor networks. Int. J. Inf. Eng. Electron. Bus. 5(6), 1–5 (2013)
Gan, W., Zhu, Y., Zhang, T.: Research on RFID application in the pharmacy logistics system. Int. J. Educ. Manag. Eng. 2(8), 13–19 (2012)
Wang, J.: Intelligent display technology research and system design based on the internet of things. University of Electronic Science and Technology, Chengdu (2020). (in Chinese)
The application of intelligent labels and interconnected packaging. Green Packag. (10), 82–84 (2019). (in Chinese)
Viegas, V., Postolache, O., Pereira, J.M.D.: Transducer electronic data sheets: anywhere, anytime, anyway. Electronics 8(11), 19 (2019)
Anzules, J.R., Uchubanda, W.L., Gurumendi, A.V., Cruz, N.E.: NFC solutions for purchasing public transport tickets at babahoyo terrestrial terminal. J. Sci. Res. (3), 50–55 (2018)
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Li, H., Li, Y., Yang, Z., Wang, H., Chen, G. (2021). Design and Application of Tag Identification APP for Warehouse Sorting System. In: Hu, Z., Zhang, Q., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Logistics Engineering. ICAILE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-030-80475-6_25
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DOI: https://doi.org/10.1007/978-3-030-80475-6_25
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