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Today, the editor will share with you the relevant knowledge about how to achieve face recognition technology based on HTML5. The content is detailed and the logic is clear. I believe most people still know too much about this knowledge, so share this article for your reference. I hope you can get something after reading this article. Let's take a look at it.

Question: how to realize face recognition on Web browser through WebRTC,OpenCV and WebSocket technology, which is based on Jetty.

The effects achieved include:

Face detection results

Can also recognize the eyes.

Eye test results

The core code of face recognition:

Page:

XML / HTML code copies content to text

Var video = $("# live"). Get () [0]

Var canvas = $("# canvas")

Var ctx = canvas .get () [0] .getContext ('2d')

Navigator.webkitGetUserMedia ("video"

Function (stream) {

Video.src = webkitURL .createObjectURL (stream)

}

Function (error) {

Console.log ("unable to get video stream!" )

}

)

Timer = setInterval (

Function () {

Ctx.drawImage (video,0,0320240)

}, 250)

The JavaScript code copies the content to

Public class FaceDetection {

Private static final string CASCADE_FILE = "resources / haarcascade_frontalface_alt.xml"

Private int minsize = 20

Private int group = 0

Private double ratio = 1.1

/ * *

* FaceDetection example based on JavaCV.

* /

The public byte [] convert (byte [] imageData) throws IOException {

/ / create an image from the supplied byte array

IplImage originalImage = cvDecodeImage (cvMat (1 Magneto imageData.coach CVCom 8UC1 Magneto newBytePointer (imageData)

/ / converted to grayscale for recognition

IplImage grayImage = IplImage.create (originalImage.width (), originalImage.height (), IPL_DEPTH_8U,1)

CvCvtColor (originalImage,grayImage,CV_BGR2GRAY)

/ / Storage is required to store information during detection

CvMemStorage storage = CvMemStorage.create ()

/ / configuration for analysis

CvHaarClassifierCascade cascade = newCvHaarClassifierCascade (cvLoad (CASCADE_FILE))

/ / We detected a human face.

CvSeq faces = cvHaarDetectObjects (grayImage, cascading, storage, scale, group, minimum size)

/ / We traverse the faces we find and draw a yellow rectangle around them.

For (int I = 0; I

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