Automatic and Advanced Identification of Any Vehicle Using Unique Identifiers through OCR and Rest API Colloborative System

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]