Face detection_抓小偷

介紹

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如果java client 端如果有偵測到人臉的話會儲存一張圖片到c:\\peoples.png

然後偵測到的人臉大於1的話則會將嫌疑人的照片儲存下來並發送一張圖片到

指定ip並告知可能有人在你家

Server 端如果有將會一直開著持續監聽

環境設定

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Javacv 1.2: https://github.com/bytedeco/javacv

Eclipse

Android studio

Opencv 2.49 or 48

https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.9/

Javacv 1.2建置

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下載好javacv後建立一個eclipse 專案 選jse就可以了這邊要來做監控的client,記得把這些函示庫引入

Opencv 建置

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64位元就選x64,32位元就選x86

Face detection.code

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	package com.example.jack.myapplication;
	import android.net.wifi.WifiInfo;
	import android.net.wifi.WifiManager;
	import android.os.Bundle;
	import android.support.v7.app.AppCompatActivity;
	import android.widget.ImageView;
	import android.widget.ScrollView;
	import android.widget.TextView;
	public class MainActivity extends AppCompatActivity {
	ServerTcpListener Server=null;
	TextView IPVIEW,conter_tx;
	ScrollView sco1;
	ImageView img1;
	int conter;
	Thread t;
	@Override
	protected void onCreate(Bundle savedInstanceState) {
	super.onCreate(savedInstanceState);
	setContentView(R.layout.activity_main);
	//顯示你的ip這我拿來看手機連到wifi的ip才能指定socket 互傳檔案
	IPVIEW=(TextView) findViewById(R.id.textView);
	IPVIEW.setText( getMyIp() .toString());
	//用在偵測到人要變換視窗顏色
	conter_tx=(TextView)findViewById(R.id.textView2) ;
	sco1=(ScrollView)findViewById(R.id.sco1) ;
	//開啟一個thread去呼叫server並開啟
	t = new Thread(new ServerTcpListener(this));
	t.start();
	img1=(ImageView)findViewById(R.id.imageView);
	IPVIEW.setText( "server is start!!");
	}
	private String getMyIp(){
	//新增一個WifiManager物件並取得WIFI_SERVICE
	WifiManager wifi_service = (WifiManager)getSystemService(WIFI_SERVICE);
	//取得wifi資訊
	WifiInfo wifiInfo = wifi_service.getConnectionInfo();
	//取得IP，但這會是一個詭異的數字，還要再自己換算才行
	int ipAddress = wifiInfo.getIpAddress();
	//利用位移運算和AND運算計算IP
	String ip = String.format("%d.%d.%d.%d",(ipAddress & 0xff),(ipAddress >> 8 & 0xff),(ipAddress >> 16 & 0xff),(ipAddress >> 24 & 0xff));
	return ip;
	}
	}
	Android server : ServerTcpListener
	package com.example.jack.myapplication;
	import android.app.Activity;
	import android.content.Context;
	import android.graphics.Bitmap;
	import android.graphics.BitmapFactory;
	import android.os.Environment;
	import java.io.DataInputStream;
	import java.io.File;
	import java.io.FileOutputStream;
	import java.net.ServerSocket;
	import java.net.Socket;
	/**
	* Created by JACK on 2016/12/8.
	*/
	public class ServerTcpListener implements Runnable {
	public MainActivity tmp;
	private static Context mContext;
	public static void main(String[] args) {
	}
	public ServerTcpListener(MainActivity tmp)
	{this.tmp=tmp;
	mContext=tmp;
	}
	public void run() {
	try {
	final ServerSocket server = new ServerSocket(ClientTcpSend.port);
	while (true) {
	try {
	System.out.println("監聽中...");
	Socket socket = server.accept();
	System.out.println("有資料傳送!");
	receiveFile(socket);
	} catch (Exception e) {
	}
	}
	} catch (Exception e) {
	e.printStackTrace();
	}
	}
	public void receiveFile(Socket socket) {
	byte[] inputByte = null;
	int length = 0;
	DataInputStream dis = null;
	FileOutputStream fos = null;
	try {
	try {
	dis = new DataInputStream(socket.getInputStream());
	fos = new FileOutputStream(new
	////這邊要注意如果要取得內部sd卡位置
	File( Environment.getExternalStorageDirectory().getAbsolutePath()+"//aa.png"));
	inputByte = new byte[1024*4];
	System.out.println("開始接收檔案...");
	while ((length = dis.read(inputByte, 0, inputByte.length)) > 0) {
	fos.write(inputByte, 0, length);
	fos.flush();
	}
	System.out.println("完成接收");
	Bitmap bMap = BitmapFactory.decodeFile(Environment.getExternalStorageDirectory().getAbsolutePath()+"//aa.png");
	///畫面即時更新ui
	new Thread(new Runnable() {
	public void run() {
	//這邊是背景thread在運作, 這邊可以處理比較長時間或大量的運算
	((Activity) mContext).runOnUiThread(new Runnable() {
	public void run() {
	//這邊是呼叫main thread handler幫我們處理UI部分
	Bitmap bMap = BitmapFactory.decodeFile(Environment.getExternalStorageDirectory().getAbsolutePath()+"//aa.png");
	tmp.img1.setImageBitmap( bMap);
	tmp.conter_tx.setText("可能被侵入次數:"+tmp.conter);
	tmp.conter+=1;
	}
	});
	}
	}).start();
	} finally {
	if (fos != null)
	fos.close();
	if (dis != null)
	dis.close();
	if (socket != null)
	socket.close();
	}
	} catch (Exception e) {
	}
	}
	}

view raw androidserver.java hosted with ❤ by GitHub

	package test;
	import javax.swing.*;
	import java.awt.Toolkit;
	import java.io.File;
	import java.net.URL;
	import org.bytedeco.javacpp.Loader;
	import org.bytedeco.javacpp.opencv_core.IplImage;
	import org.bytedeco.javacv.CanvasFrame;
	import org.bytedeco.javacv.FrameGrabber;
	import org.bytedeco.javacv.OpenCVFrameConverter;
	import org.bytedeco.javacv.OpenCVFrameGrabber;
	import static org.bytedeco.javacpp.opencv_core.*;
	import static org.bytedeco.javacpp.opencv_imgproc.*;
	import static org.bytedeco.javacpp.opencv_highgui.*;
	import static org.bytedeco.javacpp.opencv_imgcodecs.*;
	import static org.bytedeco.javacpp.helper.opencv_objdetect.cvHaarDetectObjects;
	import org.bytedeco.javacpp.opencv_core.CvMemStorage;
	import org.bytedeco.javacpp.opencv_core.CvRect;
	import org.bytedeco.javacpp.opencv_core.CvScalar;
	import org.bytedeco.javacpp.opencv_core.CvSeq;
	import static org.bytedeco.javacpp.opencv_core.IPL_DEPTH_8U;
	import static org.bytedeco.javacpp.opencv_core.cvClearMemStorage;
	import static org.bytedeco.javacpp.opencv_core.cvGetSeqElem;
	import static org.bytedeco.javacpp.opencv_core.cvLoad;
	import static org.bytedeco.javacpp.opencv_core.cvPoint;
	import static org.bytedeco.javacpp.opencv_imgproc.CV_BGR2GRAY;
	import static org.bytedeco.javacpp.opencv_imgproc.cvCvtColor;
	import org.bytedeco.javacpp.opencv_objdetect;
	import static org.bytedeco.javacpp.opencv_objdetect.CV_HAAR_DO_CANNY_PRUNING;
	import org.bytedeco.javacpp.opencv_objdetect.CvHaarClassifierCascade;
	public class test {
	static OpenCVFrameConverter.ToIplImage converter = new OpenCVFrameConverter.ToIplImage();
	public static void main(String args[]) {
	System.out.println("ok");
	//用 FrameGrabber 取得 得webcam
	FrameGrabber grabber = new OpenCVFrameGrabber("");
	//宣告一個CanvasFrame ，就把它當作是一個JFrame用。
	CanvasFrame canvas = new CanvasFrame("Webcam", CanvasFrame.getDefaultGamma() / grabber.getGamma());
	//設定這一個JFrame關閉時順便把程式結束。
	canvas.setDefaultCloseOperation(
	javax.swing.JFrame.EXIT_ON_CLOSE);
	try {
	//從網路上取得訓練好的檔案（不太建議用2.4版本的會有問題）
	URL url = new URL("https://raw.github.com/Itseez/opencv/2.2/data/haarcascades/haarcascade_frontalface_alt.xml");
	//把網頁上取回來的資料寫入本地端檔案
	File file = Loader.extractResource(url, null, "classifier", ".xml");
	//假如有相同檔名己存在則刪除舊友的
	file.deleteOnExit();
	//指定classifier檔案名稱（也就是剛才由網路上捉下來的檔案路徑）
	String classifierName = file.getAbsolutePath();
	// 預先載入 opencv_objdetect module .
	Loader.load(opencv_objdetect.class);
	//初始化HaarClassifierCascade
	CvHaarClassifierCascade classifier = new CvHaarClassifierCascade(cvLoad(classifierName));
	//假如載入HaarClassifierCascade 失敗則結束程式
	if (classifier.isNull()) {
	System.err.println("Error loading classifier file \"" + classifierName + "\".");
	System.exit(1);
	}
	//啟動WebCam
	grabber.start();
	//定義一個IplImage 存放取出來的影像
	IplImage img;
	//先取一張畫面放入IplImage
	img = converter.convert(grabber.grab());
	//取得影像的長寬
	int width = img.width();
	int height = img.height();
	//建立一個灰階影像（用IPL_DEPTH_8U 原因為，灰階影像每一個pixel R,G,B值皆相等，只需要存一份即可）
	IplImage grayImage = IplImage.create(width, height, IPL_DEPTH_8U, 1);
	//建立一個CvMemStorage做運算用
	CvMemStorage storage = CvMemStorage.create();
	//設定顯示用的CanvasFrame為取出的影像大小
	canvas.setCanvasSize(grabber.getImageWidth(),
	grabber.getImageHeight());
	while (canvas.isVisible() && (img = converter.convert(grabber.grab())) != null) {
	//重置運算用的CvMemStorage
	cvClearMemStorage(storage);
	// 把原始影像變成灰階
	cvCvtColor(img, grayImage, CV_BGR2GRAY);
	//偵測人臉
	CvSeq faces = cvHaarDetectObjects(grayImage, classifier, storage,
	1.1, 3, CV_HAAR_DO_CANNY_PRUNING);
	//取得捉到的人臉
	//檢測到底有沒有一個人臉以上有的話則發送到server端
	int total = faces.total();
	if(total>0)
	{
	cvSaveImage("/peoples.png",img);
	new ClientTcpSend();
	}
	//在人臉上畫一個綠色的矩型
	for (int i = 0; i < total; i++) {
	CvRect r = new CvRect(cvGetSeqElem(faces, i));
	int x = r.x(), y = r.y(), w = r.width(), h = r.height();
	cvRectangle(img, cvPoint(x, y), cvPoint(x + w, y + h), CvScalar.GREEN, 1, CV_AA, 0);
	}
	//顯示圖片
	cvShowImage( "Detection...", img );
	cvWaitKey(200);
	Toolkit toolkit = Toolkit.getDefaultToolkit();
	toolkit.beep();
	}
	}
	catch(Exception e)
	{
	}
	}
	}
	//這邊的話可以看到 可以選擇要不要定時發出蜂鳴器 引起嫌犯人看鏡頭
	Toolkit toolkit = Toolkit.getDefaultToolkit();
	toolkit.beep();

view raw eclipeclient.java hosted with ❤ by GitHub