Use PHP to write an example tutorial for docking Baidu OCR license plate recognition API

Using PHP to write an example tutorial for docking Baidu OCR license plate recognition API

1. Background introduction

With the continuous development of artificial intelligence technology, license plates Recognition technology has been widely used in traffic management, parking lot management and other fields. Baidu OCR License Plate Recognition API provides a simple and fast way to realize license plate recognition. This article will introduce how to use the PHP programming language to connect to Baidu OCR License Plate Recognition API and give corresponding code examples.

2. Preparation work

Before we start, we need to complete the following preparation work:

1. Register a Baidu Smart Cloud account and create an application, and obtain the API Key and Secret Key. In the Baidu Smart Cloud Console, select "Products and Services" → "Artificial Intelligence" → "Text Recognition (OCR)" → "License Plate Recognition", enter the license plate recognition page, click "Apply now", and then create an application according to the prompts and Get API Key and Secret Key.
2. Install PHP development environment. Make sure that the PHP running environment has been installed locally, which can be viewed by typing php -v on the command line.

3. Writing code

The following is a sample code using PHP to write the docking Baidu OCR license plate recognition API:

<?php

define('API_KEY', 'your_api_key');
define('SECRET_KEY', 'your_secret_key');

function getAccessToken()
{
    $url = 'https://aip.baidubce.com/oauth/2.0/token';
    $postData = [
        'grant_type' => 'client_credentials',
        'client_id' => API_KEY,
        'client_secret' => SECRET_KEY,
    ];

    $ch = curl_init();
    curl_setopt($ch, CURLOPT_URL, $url);
    curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
    curl_setopt($ch, CURLOPT_POST, true);
    curl_setopt($ch, CURLOPT_POSTFIELDS, $postData);
    $response = curl_exec($ch);
    curl_close($ch);

    $jsonObj = json_decode($response);
    return $jsonObj->access_token;
}

function plateRecognition($imagePath)
{
    $url = 'https://aip.baidubce.com/rest/2.0/ocr/v1/license_plate';
    $accessToken = getAccessToken();
    $postData = [
        'image' => base64_encode(file_get_contents($imagePath)),
    ];

    $headers = [
        'Content-Type: application/x-www-form-urlencoded',
        'Access-Token: ' . $accessToken,
    ];

    $ch = curl_init();
    curl_setopt($ch, CURLOPT_URL, $url);
    curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
    curl_setopt($ch, CURLOPT_POST, true);
    curl_setopt($ch, CURLOPT_POSTFIELDS, http_build_query($postData));
    curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
    $response = curl_exec($ch);
    curl_close($ch);

    $jsonObj = json_decode($response);
    return $jsonObj->words_result->number;
}

$imagePath = 'path_to_your_image.jpg';
$plateNumber = plateRecognition($imagePath);
echo '车牌号码：' . $plateNumber;

In the above code, you need to put # Replace ##your_api_key and your_secret_key with your own API Key and Secret Key, and replace path_to_your_image.jpg with the path of the image you want to identify. After the code is run, the recognized license plate number will be output.

4. Run the code

Save the above code as a PHP file, such as
1. plate_recognition.php.
Switch to the directory where the file is located on the command line and execute the following command to run the code:

2. php plate_recognition.php

The program will output the recognized license plate number.

5. Summary

This article introduces how to use the PHP programming language to connect to Baidu OCR license plate recognition API, and gives corresponding code examples. Through this tutorial, you can quickly get started and start using Baidu OCR License Plate Recognition API to implement license plate recognition functions and provide better services for traffic management, parking lot management and other applications. I hope the content of this article can be helpful to you.

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