If you want to carry out a project to update your traffic management services, you should see how new machine learning technologies can help you detect license plates, and generate super reliable databases! Read this post to learn more about it!
The tasks of verifying traffic for some years have fallen more and more on computerized solutions, which take photos of all the license plates that travel on a highway; and save these images to be analyzed and approved by a person.
As a quick explanation, machine learning is a branch of artificial intelligence that focuses on enabling computers to learn without being explicitly programmed. Traffic management officers in many cities and countries monitor traffic conditions; and improve traffic flow, however, AI-based solutions are increasingly gaining ground.
And using traffic cameras as an important tool; traffic authorities keep our roads and highways safe, and manage to issue tickets without having to examine case by case, but relying on automated responses from an AI.
However, with the increasing number of cars on the road and the increase in traffic density; it is becoming difficult for traffic officers to detect accidents and other critical events. They are often placed along highways and at intersections, where they can capture images of vehicles and their license plates.
To achieve this, traffic management systems use machine learning algorithms to analyze these images in order to identify vehicles that have violated traffic laws; such as speeding or running red lights. This information is then use by the system to issue tickets or fines directly through the vehicle owners’ mailboxes.
Is An API The Most Qualified “Person” For This Job?
After collecting data from several locations over a period of time; APIs can have around 50 million records with varied features such as location information, direction information, etc. An LRP API system scans a license plate and compares it to a database of recognized ones; if found a match, the system notifies you so you can take action about it.
The first step is to obtain the images you want to analyze; for this, you can use the API search capability; and its revision checks to see if a user has been, for example; ticketed. Normally, traffics system uses cameras mounted on traffic lights to analyze the flow of vehicles and other information that’s currently collected by humans and used only after congestion occurs.
The next step is to use machine learning algorithms like neural network models and deep learning models to develop an algorithm that can predict whether a vehicle is involved in an accident or not based on its motion pattern at a certain location.
If you are looking for an API service that can give you reliable and relevant traffic management information; you should try this one because we believe it is the best available today!
Make The Future Come Today Using This API!
License Plate Recognition API captures license plates from photos and converts the optical data into digital information using optical character recognition. You can use the License Plate Recognition API to keep track of vehicles entering; or departing a territory, the number of times a vehicle appears; how long it spends in a specific location, and more.
License Plate Recognition API may accept any picture URL with a visible license plate and return a JSON object containing information such as indications about any identified license plate on the image; coordinates of the plate in the image; the number on the license plate, and so on.
Related Post: Add A License Plate Recognizer To Your Toll Using Only An API!
Also published on Medium.