Image recognition based method for identifying new energy vehicles in microgrid parks
With the proposal of the "dual carbon" strategy, the development of China's new energy vehicle industry has ushered in new opportunities. This article focuses on the charging business scenarios in microgrid parks, relying on digital technologies such as artificial intelligence and big data, and deeply explores the value of data. By constructing a two-stage model of YOLOv5+LPRNnet, electric vehicle recognition is achieved, improving recognition accuracy while ensuring recognition speed, and achieving automated and standardized management of vehicle entry and exit charging stations, Effectively solving the problem of occupying space for gasoline vehicles, empowering business development with data, and significantly improving operational service efficiency.
Authors
- Xueying Song (ORCID: https://orcid.org/0000-0002-8283-0416)
- Peipei Tian (ORCID: https://orcid.org/0000-0003-0465-4098)
- Dandan Song (ORCID: https://orcid.org/0000-0002-7239-6900)
- Zibing Meng
- Yining Wei (ORCID: https://orcid.org/0000-0001-6793-1764)
- Yan Jiang (ORCID: https://orcid.org/0000-0002-3317-1696)
- Jianan Zhou (ORCID: https://orcid.org/0009-0000-7766-8197)
- Zhiqiang Sheng
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1117/12.3034368
- Primary Topic
- Vehicle License Plate Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00