封闭停车场道闸 java对接
时间: 2024-01-12 14:22:43 浏览: 55
封闭停车场道闸的Java对接可以通过以下两个模块实现:
1. 数据库管理模块:使用JDBC技术连接数据库,实现车辆进出停车场的信息管理。可以通过以下步骤进行操作:
```java
// 导入JDBC相关的包
import java.sql.*;
// 连接数据库
String url = "jdbc:mysql://localhost:3306/parking_lot";
String username = "root";
String password = "password";
Connection connection = DriverManager.getConnection(url, username, password);
// 插入车辆进入停车场的信息
String insertQuery = "INSERT INTO vehicle (license_plate, enter_time) VALUES (?, ?)";
PreparedStatement insertStatement = connection.prepareStatement(insertQuery);
insertStatement.setString(1, licensePlate);
insertStatement.setTimestamp(2, enterTime);
insertStatement.executeUpdate();
// 更新车辆离开停车场的信息
String updateQuery = "UPDATE vehicle SET exit_time = ? WHERE license_plate = ?";
PreparedStatement updateStatement = connection.prepareStatement(updateQuery);
updateStatement.setTimestamp(1, exitTime);
updateStatement.setString(2, licensePlate);
updateStatement.executeUpdate();
// 查询车辆进出停车场的信息
String selectQuery = "SELECT * FROM vehicle WHERE license_plate = ?";
PreparedStatement selectStatement = connection.prepareStatement(selectQuery);
selectStatement.setString(1, licensePlate);
ResultSet resultSet = selectStatement.executeQuery();
while (resultSet.next()) {
String licensePlate = resultSet.getString("license_plate");
Timestamp enterTime = resultSet.getTimestamp("enter_time");
Timestamp exitTime = resultSet.getTimestamp("exit_time");
// 处理查询结果
}
// 关闭数据库连接
resultSet.close();
selectStatement.close();
updateStatement.close();
insertStatement.close();
connection.close();
```
2. 车辆识别模块:使用JavaCV库结合OpenCV图像处理技术实现车牌号码的识别。可以通过以下步骤进行操作:
```java
// 导入JavaCV相关的包
import org.bytedeco.javacpp.opencv_core.*;
import org.bytedeco.javacpp.opencv_imgcodecs.*;
import org.bytedeco.javacpp.opencv_imgproc.*;
import org.bytedeco.javacpp.opencv_objdetect.*;
import org.bytedeco.javacpp.opencv_highgui.*;
// 加载车牌识别模型
CascadeClassifier classifier = new CascadeClassifier("path/to/haarcascade_license_plate.xml");
// 读取图像
Mat image = imread("path/to/image.jpg");
// 灰度化处理
Mat grayImage = new Mat();
cvtColor(image, grayImage, COLOR_BGR2GRAY);
// 车牌识别
RectVector plates = new RectVector();
classifier.detectMultiScale(grayImage, plates);
// 绘制识别结果
for (int i = 0; i < plates.size(); i++) {
Rect plate = plates.get(i);
rectangle(image, plate, new Scalar(0, 255, 0), 2, 8, 0);
}
// 显示识别结果
imshow("License Plate Recognition", image);
waitKey(0);
// 释放资源
classifier.close();
image.release();
grayImage.release();
```
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