Design and Implementation of License Plate Recognition System Based on Android

Cheng-jun, Yang; Zhou, Ling

doi:10.1007/978-981-16-6554-7_25

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Community Elderly Care Services. In developed countries such as Europe, America, and Japan, due to the early start of community, a relatively complete service content system has been formed, which has laid a good foundation for the research on service quality evaluation [4]. Japan, which entered an aging society in the 1970s, has gradually formed a rich content and distinctive features after more than 50 years of development.…”

Section: Current Status Of Research On Quality Evaluation Ofmentioning

confidence: 99%

Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm

Liu

2022

Advances in Multimedia

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The healthy development of community elderly care service is very important. Studying the quality evaluation of community elderly care services and establishing a complete, scientific, and objective community elderly care service method can establish the online reputation of enterprises and help elderly users obtain cost-effective elderly care services. This is very important for healthy development. This paper puts forward a new evaluation model for the quality of community elderly care service. The evaluation method based on the model is designed, the quality evaluation model is constructed, and the community evaluation system is developed. From the aspects of requirement analysis, design, implementation, and testing, the specific implementation process of the system is described. This paper puts forward a community evaluation model which accords with the clustering model: community elderly care service quality evaluation method. AIS-OR mathematical modeling is carried out. Under the guidance of the model, the secondary indicators are analyzed and determined, and the mathematical model of indicator evaluation is constructed. We use text mining technology and emotion analysis to determine the relationship between comment emotion and community elderly care service quality online and build a quality emotion feature library. The naive Bayesian algorithm is used to classify the online evaluation of the service quality of community elderly care services, which verified by experiments and completed the design and development of the community elderly care service quality evaluation system based on the project needs.

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Section: Current Status Of Research On Quality Evaluation Ofmentioning

confidence: 99%

Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm

Liu

2022

Advances in Multimedia

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“…For example, in [41], the authors run their tool in a CPU-based system with 8 GB of RAM, and obtain a precision of 66.1% with MobileNet SSDv2 [42] with a 27.2 FPS rate; or in [43], with metrics of detection of 90% and a recognition rate of 98.73% with just Raspberry Pi3B+ as hardware support. Going further, we can find Android-based systems such as [44] or [45], which are designed to be deployed in mobile phones and operate in real time. These procedures and their results are shown in Table 1.…”

Section: Up-to-date Solutionsmentioning

confidence: 99%

Intelligent Video Surveillance Systems for Vehicle Identification Based on Multinet Architecture

2022

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Security cameras have been proven to be particularly useful in preventing and combating crime through identification tasks. Here, two areas can be mainly distinguished: person and vehicle identification. Automatic license plate readers are the most widely used tool for vehicle identification. Although these systems are very effective, they are not reliable enough in certain circumstances. For example, due to traffic jams, vehicle position or weather conditions, the sensors cannot capture an image of the entire license plate. However, there is still a lot of additional information in the image which may also be of interest, and that needs to be analysed quickly and accurately. The correct use of the processing mechanisms can significantly reduce analysis time, increasing the efficiency of video cameras significantly. To solve this problem, we have designed a solution based on two technologies: license plate recognition and vehicle re-identification. For its development and testing, we have also created several datasets recreating a real environment. In addition, during this article, it is also possible to read about some of the main artificial intelligence techniques for these technologies, as they have served as the starting point for this research.

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“…Yendo más allá, podemos encontrar sistemas basados en Android como [75] o [76], que están diseñados para ser implementados en teléfonos móviles y operar en tiempo real.…”

Section: 2-procedimientos Basados En Herramientas Visualesunclassified

Deep Learning for Robust Vehicle Identification

Ballester

Cepeda

Armingol

2022

Lecture Notes in Networks and Systems

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Vision systems are essential tools in many areas, such as security and crime prevention. One of the most important areas of research in this field is vehicle identification, mainly through number plates, which allow not only to know the brand and model of the vehicle, but also the owner.While there are many solutions for automatic number plate detection and reading, difficulties can arise if characters are partially hidden or distorted. Despite advances in artificial intelligence and neural networks, these problems have not yet been completely solved.

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Design and Implementation of License Plate Recognition System Based on Android

Cited by 4 publications

References 3 publications

Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm

Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm

Intelligent Video Surveillance Systems for Vehicle Identification Based on Multinet Architecture

Deep Learning for Robust Vehicle Identification

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