If you work with vehicles or traffic, we invite you to keep reading! We present you with the must-have license plate recognition API. License Plate Recognition API is just an amazing AI system that does its job immediately by simply passing an image through it. This tool allows you to get loads of data useful for many jobs.
What is this API?
License Plate Recognition API is the biggest quality tool to offer anyone the greatest service on the market. People think that we bluff when we talk about this API and its amazing characteristics but we certainly do not. We do not exaggerate one bit while talking about this recognition API. It truly is a must-have, there is no tool like it. This license plate service provides you with the highest quality responses possible. They are accurate and updated, reliable, and efficient. All these qualities are what make sure that the responses meet your standards and are truly trustworthy. Another incredible quality to highlight about the license plate API would be that it is extremely accessible. Everybody can use it regardless of age, education and budget restrictions. This tool has an intuitive design and very affordable plans.
Why is it a must-have?
Many people employ this API for work reasons. It has gained such an amazing reputation that there are more and more people that decide to work with it. License Plate Recognition API helps several vehicle parking operators, traffic management officials and even toll managers. Moreover, all of them get it for one simple reason. This license plate API uses optical character recognition to capture license plates from images and convert them into digital information. Therefore, with this recognition API, everybody will be able to keep track of vehicles. As you can tell, many use it to check the entering or leaving of a territory, the number of times a vehicle appears, how long it stays in a certain place and more.
Furthermore, this highly accurate license plate API grants amazing help for security purposes. The License Plate Recognition API‘s technology analyzes the images or videos and immediately extracts the license plate information. And with it, you can control vehicles based on their license plate number by sending real-time alerts when it can detect a violation. On the other hand, this automated number plate recognition API is an efficient tool for traffic management. With it, you can detect traffic violations on the road. And because of that, officials measure and analyze all the information and use it for better traffic planning. Finally, as well as both of these scenarios, recognition technology can be used to control automatically toll operations. The system can record and control the entry and exit of vehicles, allowing drivers to pay for tolls automatically. Therefore, people will have effective toll booth management, reducing operational time and increasing productivity.
What else is there to know?
To successfully use the API you have to subscribe. Firstly, you will subscribe to the uncharged plan, get an access key and try it out. If you like it, keep it. And if you would prefer to update it, go ahead and change plans! Once you have the access key, you have to go to the API Documentation tab on the API’s page. You will open it and introduce your access key. Now you are able to use the DETECT LICENSE endpoint. All there is to do is pass a video or photo that has a license plate and the API will do the rest. You will get back a JSON object with the label (which indicates that it has detected a license plate), coordinates (those of the plate in the image), confidence ( the confidence level of the model) and value (the number on the license plate). Moreover, let’s talk about the plans that the API has to offer. They all provide you with the same high quality, the defence comes with the price and number of requests. If none of the pre-designed plans meets your needs, you can personalize one of your own.
We invite you to check out the API’s page and contact us any time you desire. We are always online in our chat rooms from 9 a.m. to 6 p.m. (GMT+1). And if you are a bit old-fashioned, do not worry! Here is our email address [email protected]
Also published on Medium.