Java エンジニアが Baidu AI インターフェイスを使用してインテリジェント運転支援システムを実装する方法

import com.alibaba.fastjson.JSONObject;
import com.baidu.aip.speech.AipSpeech;

public class VoiceAssistant {
    public static final String APP_ID = "Your APP_ID";
    public static final String API_KEY = "Your API_KEY";
    public static final String SECRET_KEY = "Your SECRET_KEY";
    
    public static void main(String[] args) {
        // 初始化一个AipSpeech
        AipSpeech client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY);
      
        // 设置可选参数
        JSONObject options = new JSONObject();
        options.put("dev_pid", 1536);

        // 识别本地文件
        String path = "your_audio_path";
        JSONObject res = client.asr(path, "wav", 16000, options);

        // 打印识别结果
        System.out.println(res);
    }
}

import com.alibaba.fastjson.JSONObject;
import com.baidu.aip.imageclassify.AipImageClassify;

public class TrafficAnalyzer {
    public static final String APP_ID = "Your APP_ID";
    public static final String API_KEY = "Your API_KEY";
    public static final String SECRET_KEY = "Your SECRET_KEY";
    
    public static void main(String[] args) {
        // 初始化一个AipImageClassify
        AipImageClassify client = new AipImageClassify(APP_ID, API_KEY, SECRET_KEY);
        
        // 设置可选参数
        JSONObject options = new JSONObject();
        options.put("baike_num", 1);

        // 调用车辆检测接口
        String path = "your_image_path";
        JSONObject res = client.vehicleDetect(path, options);

        // 打印识别结果
        System.out.println(res);
    }
}

import com.alibaba.fastjson.JSONObject;
import com.baidu.aip.face.AipFace;

public class DriverMonitor {
    public static final String APP_ID = "Your APP_ID";
    public static final String API_KEY = "Your API_KEY";
    public static final String SECRET_KEY = "Your SECRET_KEY";
    
    public static void main(String[] args) {
        // 初始化一个AipFace
        AipFace client = new AipFace(APP_ID, API_KEY, SECRET_KEY);
        
        // 设置可选参数
        JSONObject options = new JSONObject();
        options.put("face_field", "age,expression,beauty,gender");

        // 调用人脸检测接口
        String path = "your_image_path";
        JSONObject res = client.detect(path, options);

        // 打印识别结果
        System.out.println(res);
    }
}