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Leng J, Chen X, Zhao J, Wang C, Zhu J, Yan Y, Zhao J, Shi W, Zhu Z, Jiang X, Lou Y, Feng C, Yang Q, Xu F. A Light Vehicle License-Plate-Recognition System Based on Hybrid Edge-Cloud Computing. Sensors (Basel) 2023; 23:8913. [PMID: 37960612 PMCID: PMC10650870 DOI: 10.3390/s23218913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 11/15/2023]
Abstract
With the world moving towards low-carbon and environmentally friendly development, the rapid growth of new-energy vehicles is evident. The utilization of deep-learning-based license-plate-recognition (LPR) algorithms has become widespread. However, existing LPR systems have difficulty achieving timely, effective, and energy-saving recognition due to their inherent limitations such as high latency and energy consumption. An innovative Edge-LPR system that leverages edge computing and lightweight network models is proposed in this paper. With the help of this technology, the excessive reliance on the computational capacity and the uneven implementation of resources of cloud computing can be successfully mitigated. The system is specifically a simple LPR. Channel pruning was used to reconstruct the backbone layer, reduce the network model parameters, and effectively reduce the GPU resource consumption. By utilizing the computing resources of the Intel second-generation computing stick, the network models were deployed on edge gateways to detect license plates directly. The reliability and effectiveness of the Edge-LPR system were validated through the experimental analysis of the CCPD standard dataset and real-time monitoring dataset from charging stations. The experimental results from the CCPD common dataset demonstrated that the network's total number of parameters was only 0.606 MB, with an impressive accuracy rate of 97%.
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Affiliation(s)
- Jiancai Leng
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Xinyi Chen
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Jinzhao Zhao
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Chongfeng Wang
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Jianqun Zhu
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Yihao Yan
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Jiaqi Zhao
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Weiyou Shi
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Zhaoxin Zhu
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Xiuquan Jiang
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Yitai Lou
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Chao Feng
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
| | - Qingbo Yang
- School of Mathematics and Statistics, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China
| | - Fangzhou Xu
- International School of Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), 3501 Daxue Road, Changqing District, Jinan 250300, China; (J.L.); (X.C.); (J.Z.); (C.W.); (J.Z.); (Y.Y.); (J.Z.); (W.S.); (Z.Z.); (X.J.); (Y.L.); (C.F.)
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