Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information Recognition
With the development of smart logistics, current small distribution centers have begun to use intelligent equipment to indirectly read bar code information on courier sheets to carry out express sorting. However, limited by the cost, most of them choose relatively low-end sorting equipment in a ware...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/17/6705 |
| _version_ | 1827664931975069696 |
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| author | Xing Xu Zhenpeng Xue Yun Zhao |
| author_facet | Xing Xu Zhenpeng Xue Yun Zhao |
| author_sort | Xing Xu |
| collection | DOAJ |
| description | With the development of smart logistics, current small distribution centers have begun to use intelligent equipment to indirectly read bar code information on courier sheets to carry out express sorting. However, limited by the cost, most of them choose relatively low-end sorting equipment in a warehouse environment that is complex. This single information identification method leads to a decline in the identification rate of sorting, affecting efficiency of the entire express sorting. Aimed at the above problems, an express recognition method based on deeper learning and multi-information fusion is proposed. The method is mainly aimed at bar code information and three segments of code information on the courier sheet, which is divided into two parts: target information detection and recognition. For the detection of target information, we used a method of deeper learning to detect the target, and to improve speed and precision we designed a target detection network based on the existing YOLOv4 network, Experiments show that the detection accuracy and speed of the redesigned target detection network were much improved. Next for recognition of two kinds of target information we first intercepted the image after positioning and used a ZBAR algorithm to decode the barcode image after interception. The we used Tesseract-OCR technology to identify the intercepted three segments code picture information, and finally output the information in the form of strings. This deeper learning-based multi-information identification method can help logistics centers to accurately obtain express sorting information from the database. The experimental results show that the time to detect a picture was 0.31 s, and the recognition accuracy was 98.5%, which has better robustness and accuracy than single barcode information positioning and recognition alone. |
| first_indexed | 2024-03-10T01:13:33Z |
| format | Article |
| id | doaj.art-ca66fcb9d2434c59ad5dde7d2e7ea110 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:13:33Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ca66fcb9d2434c59ad5dde7d2e7ea1102023-11-23T14:13:03ZengMDPI AGSensors1424-82202022-09-012217670510.3390/s22176705Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information RecognitionXing Xu0Zhenpeng Xue1Yun Zhao2School of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, ChinaSchool of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, ChinaSchool of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, ChinaWith the development of smart logistics, current small distribution centers have begun to use intelligent equipment to indirectly read bar code information on courier sheets to carry out express sorting. However, limited by the cost, most of them choose relatively low-end sorting equipment in a warehouse environment that is complex. This single information identification method leads to a decline in the identification rate of sorting, affecting efficiency of the entire express sorting. Aimed at the above problems, an express recognition method based on deeper learning and multi-information fusion is proposed. The method is mainly aimed at bar code information and three segments of code information on the courier sheet, which is divided into two parts: target information detection and recognition. For the detection of target information, we used a method of deeper learning to detect the target, and to improve speed and precision we designed a target detection network based on the existing YOLOv4 network, Experiments show that the detection accuracy and speed of the redesigned target detection network were much improved. Next for recognition of two kinds of target information we first intercepted the image after positioning and used a ZBAR algorithm to decode the barcode image after interception. The we used Tesseract-OCR technology to identify the intercepted three segments code picture information, and finally output the information in the form of strings. This deeper learning-based multi-information identification method can help logistics centers to accurately obtain express sorting information from the database. The experimental results show that the time to detect a picture was 0.31 s, and the recognition accuracy was 98.5%, which has better robustness and accuracy than single barcode information positioning and recognition alone.https://www.mdpi.com/1424-8220/22/17/6705deeper learningmultiple information fusionYOLOv4express sortinginformation to identify |
| spellingShingle | Xing Xu Zhenpeng Xue Yun Zhao Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information Recognition Sensors deeper learning multiple information fusion YOLOv4 express sorting information to identify |
| title | Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information Recognition |
| title_full | Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information Recognition |
| title_fullStr | Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information Recognition |
| title_full_unstemmed | Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information Recognition |
| title_short | Research on an Algorithm of Express Parcel Sorting Based on Deeper Learning and Multi-Information Recognition |
| title_sort | research on an algorithm of express parcel sorting based on deeper learning and multi information recognition |
| topic | deeper learning multiple information fusion YOLOv4 express sorting information to identify |
| url | https://www.mdpi.com/1424-8220/22/17/6705 |
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