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检索条件"主题词=REST API Integration"

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Review on Advanced Vehicle Recognition System: OCR and rest api integration for Efficient Results 5

Review on Advanced Vehicle Recognition System: OCR and REST ...

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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Singh, Rohit Kumar Saxena, Aumreesh Kumar Jhapate, Arun Shrivastava, Ritu Srivastava, Rajiv Sirt Bhopal India Csit Sirt Bhopal India Cse Sirt Bhopal India

ISBN: (纸本)9798350383522

Vehicle number plate recognition ranks first in traffic management, especially in densely populated areas like India. This paper presents a conceptual approach that integrates state-of-the-art technologies to accurately identify vehicles using video license plate scanning.[1] Powered by a Raspberry Pi and a set of advanced algorithms, the system is ideal for securing confined spaces including educational institutions and high-security roads Using the power of OpenCV, the system catches on and runs video programs to extract sensitive data. This study digs deep into the difficult areas of acceptable behavior and photo appearance, with license plate recognition being a major focus. A notable feature is the integration of Optical Character Recognition (OCR) technology via a rest api, which provides the ability to quickly and accurately extract colors from license plates rest api continuous capture of license plates creates a plate image, which provides key information from these plates.[3]. Experimental findings confirm the capabilities of the system, showing recognition rates in standard with neural network-based strategies for number plate recognition The proposed model opens up possibilities for various applications, from regulatory requirements to checking forged vehicle registrations, extending to activity-monitoring, and encouraging electronic tax collection In together with OCR and rest api integration, this review shows a remarkable walk away progressive system detection vehicle. The convergence assures increased accuracy and skill in number plate recognition, and helps the system for safer, smarter and safer transportation systems. © 2024 IEEE.

关键词： Advanced Image Processing Automated Number Plate Recognition Efficient Vehicle Identification License Plate Recognition OCR Technology Optical Text Recognition rest api integration Vehicle Detection System

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Automatic and Advanced Identification of Any Vehicle Using Unique Identifiers through OCR and rest api Colloborative System 5

Automatic and Advanced Identification of Any Vehicle Using U...

引用

5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Singh, Rohit Kumar Saxena, Aumreesh Kumar Jhapate, Arun Shrivastava, Ritu Srivastava, Rajiv Sirt Bhopal India Csit Sirt Bhopal India

ISBN: (纸本)9798350383522

Vehicle Number Plate Recognition utilizing OCR and rest api integration is a critical perspective of activity administration frameworks, especially in thickly populated nations like India. This paper presents a coordinates approach for precisely identifying vehicles by handling video pictures of their number plates Utilizing Raspberry Pi and different calculations. The framework is particularly outlined for secure passages, such as the college entryways and exceedingly limited regions. By using OpenCV program, the video is captured and changed over into pictures investigation. Moreover, this inquiries about centers on the challenging field of character acknowledgment and picture preparing, particular within the setting of number plate acknowledgment. The proposed framework leverages Optical Character Recognition (OCR) innovation through a rest api, permitting for productive extraction of characters from the number plates. The captured vehicle plate pictures are recessed utilizing the rest api, Extricating crucial data from the number plates. [1] The test results illustrate that the coordinates framework accomplishes commendable acknowledgment rate comparable to those accomplished by neural organize based number plate acknowledgment strategies. The proposed arrangement holds critical potential for different applications, counting law requirement combating fake vehicle enlistment, activity control, and electronic toll collection. By combining the capabilities of OCR and rest api integration, this research contributes to the improvement of a progressed vehicle number plate acknowledgment framework, advertising upgraded exactness and productivity in recognizing and extricating da ta from number plates. [2] © 2024 IEEE.

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