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English
With continuous advances in artificial intelligence technology, vehicle detection has become increasingly sophisticated. Baidu offers a vehicle detection API that uses advanced AI algorithms to accurately identify vehicle brands, models, colors, and license plates. This article will guide you through integrating Baidu’s vehicle detection API step-by-step using PHP, making it easier for developers to utilize this powerful tool.
The Baidu Vehicle Detection API is a deep learning-based image recognition system that automatically analyzes vehicle images to identify brand, model, color, and license plate information. It supports both RESTful API and SDK methods, offering flexible and convenient integration options to meet diverse development needs.
The RESTful API is the main method for accessing Baidu’s vehicle detection service. It uses HTTPS protocol and is lightweight and simple to integrate. The official documentation provides multi-language code examples to facilitate rapid adoption.
Baidu also offers SDK development kits in multiple programming languages, simplifying the development process, avoiding common errors, and improving efficiency. Developers can choose the most suitable integration method based on their requirements.
Next, we demonstrate how to call Baidu’s vehicle detection API using PHP. The preparation steps include:
The example below shows how to invoke the API using the RESTful approach, including how to build the request and handle the response:
<?php
// Authorization credentials
$app_id = '***';
$api_key = '***';
// API endpoint
$url = 'https://aip.baidubce.com/rest/2.0/image-classify/v1/car';
// Image URL to analyze
$image_url = '***';
// Prepare request data
$data = array(
'url' => $image_url,
'temperature' => 0.6
);
// Send HTTP POST request
$curl = curl_init();
curl_setopt($curl, CURLOPT_URL, $url . '?access_token=' . getAccessToken($app_id, $api_key));
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
curl_setopt($curl, CURLOPT_POST, true);
curl_setopt($curl, CURLOPT_POSTFIELDS, $data);
$result = curl_exec($curl);
curl_close($curl);
// Output the result
print_r(json_decode($result, true));
// Function to obtain AccessToken
function getAccessToken($app_id, $api_key)
{
$url = 'https://aip.baidubce.com/oauth/2.0/token';
$params = array(
'grant_type' => 'client_credentials',
'client_id' => $app_id,
'client_secret' => $api_key
);
$curl = curl_init();
curl_setopt($curl, CURLOPT_URL, $url . '?' . http_build_query($params));
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
$result = curl_exec($curl);
curl_close($curl);
$access_token = json_decode($result, true)['access_token'];
return $access_token;
}
?>
The code consists of the following parts:
This article introduced the core features of Baidu’s vehicle detection API and demonstrated how to integrate it with PHP through a detailed example. By mastering these steps, developers can flexibly call the API to automatically recognize vehicle information and enhance the intelligence of their applications. Adjusting parameters based on specific use cases will enable more precise detection results.
