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Materials
Read more- obniz
- Power supply for obniz
- PIR sensor (of IoT Home Kit)
- Servo Motor (of IoT Home Kit)
First, Attach a servo motor to a switch on the wall.
The way you attach depends on your switch.
And connect a PIR sensor and a servo motor to an obniz. Then connect to a power.
Write and Run a program.This example program has a manual method.Turn a switch to the left, Your servo will move.Tune the value on the example program to work correctly.
And Please specify dropbox API key. You can see how to on Lessons.
Let's test.
Your servo will move when you close to a sensor.And you will see a file which contain the time on your dropbox.
This time I use HTML But nodejs will work more sufficiently. It works persistently.
Also you might want to turn off automatically or record more information to a file. It seems fun
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Video Capture Example</title>
<meta name="viewport" content="width=device-width,initial-scale=1">
<!--<script src="https://docs.opencv.org/3.4/opencv.js"></script> -->
<script src="https://sample-4dd7b.firebaseapp.com/opencv.js"></script>
<script src="https://obniz.io/js/jquery-3.2.1.min.js"></script>
<script src="https://unpkg.com/obniz@latest/obniz.js"></script>
<style>
.refrect-lr {
-webkit-transform: scaleX(-1);
-o-transform: scaleX(-1);
-moz-transform: scaleX(-1);
transform: scaleX(-1);
filter: FlipH;
-ms-filter: "FlipH";
}
</style>
</head>
<body>
<div id="obniz-debug"></div>
<div>
<div class="control">
<button id="startAndStop">Start</button>
</div>
</div>
<p class="err" id="errorMessage"></p>
<div>
<table cellpadding="0" cellspacing="0" width="0" border="0">
<tr>
<td>
<video id="videoInput" autoplay playsinline width=320 height=240 class="refrect-lr"></video>
</td>
<td>
<canvas id="canvasOutput" width=320 height=240 style="-webkit-font-smoothing:none"
class="refrect-lr"></canvas>
</td>
<td></td>
<td></td>
</tr>
<tr>
<td>
<div class="caption">videoInput</div>
</td>
<td>
<div class="caption">canvasOutput</div>
</td>
<td></td>
<td></td>
</tr>
</table>
</div>
<script src="https://webrtc.github.io/adapter/adapter-5.0.4.js" type="text/javascript"></script>
<script src="https://docs.opencv.org/3.4/utils.js" type="text/javascript"></script>
<script type="text/javascript">
obniz = new Obniz("OBNIZ_ID_HERE");
obniz.onconnect = async () => {
motorRear = obniz.wired("DCMotor", {forward: 0, back: 1});
motorRear.power(20);
motorSteer = obniz.wired("DCMotor", {forward: 2, back: 3});
motorSteer.power(50);
obniz.io10.pull("3v");
obniz.io10.output(true);
obniz.io11.output(false);
}
let utils = new Utils('errorMessage');
let faceCascadeFile = 'haarcascade_frontalface_default.xml';
utils.createFileFromUrl(faceCascadeFile, 'https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml', () => {
startAndStop.removeAttribute('disabled');
});
let streaming = false;
let videoInput = document.getElementById('videoInput');
let startAndStop = document.getElementById('startAndStop');
let canvasOutput = document.getElementById('canvasOutput');
let canvasContext = canvasOutput.getContext('2d');
startAndStop.addEventListener('click', () => {
if (!streaming) {
utils.clearError();
navigator.mediaDevices = navigator.mediaDevices || ((navigator.mozGetUserMedia || navigator.webkitGetUserMedia) ? {
getUserMedia: function (c) {
return new Promise(function (y, n) {
(navigator.mozGetUserMedia ||
navigator.webkitGetUserMedia).call(navigator, c, y, n);
});
}
} : null);
if (!navigator.mediaDevices) {
console.log("getUserMedia() not supported.");
return;
}
const medias = {
audio: false,
video: {
facingMode: "user"
}
};
navigator.mediaDevices.getUserMedia(medias)
.then(function (stream) {
streaming = true;
var video = document.getElementById("videoInput");
video.src = window.URL.createObjectURL(stream);
video.onloadedmetadata = function (e) {
video.play();
onVideoStarted();
};
})
.catch(function (err) {
console.error('mediaDevice.getUserMedia() error:' + (error.message || error));
});
} else {
utils.stopCamera();
onVideoStopped();
}
});
function onVideoStarted() {
startAndStop.innerText = 'Stop';
start();
}
function onVideoStopped() {
streaming = false;
canvasContext.clearRect(0, 0, canvasOutput.width, canvasOutput.height);
startAndStop.innerText = 'Start';
}
async function start() {
let video = document.getElementById('videoInput');
let src = new cv.Mat(video.height, video.width, cv.CV_8UC4);
let dst = new cv.Mat(video.height, video.width, cv.CV_8UC4);
let gray = new cv.Mat();
let cap = new cv.VideoCapture(video);
let faces = new cv.RectVector();
let classifier = new cv.CascadeClassifier();
let gaussian = new cv.Mat();
let binary = new cv.Mat();
let hsv = new cv.Mat();
let mask = new cv.Mat();
motorRear.forward();
let result = classifier.load("haarcascade_frontalface_default.xml");
const FPS = 30;
function processVideo() {
try {
if (!streaming) {
// clean and stop.
src.delete();
dst.delete();
gray.delete();
faces.delete();
classifier.delete();
gaussian.delete();
binary.delete();
hsv.delete();
mask.delete();
motorRear.stop();
motorSteer.stop();
return;
}
let begin = Date.now();
// start processing.
cap.read(src);
src.copyTo(dst);
cv.cvtColor(dst, gray, cv.COLOR_RGBA2GRAY, 0);
let ksize = new cv.Size(5, 5);
cv.GaussianBlur(gray, binary, ksize, 0, 0, cv.BORDER_DEFAULT); // add gaussian blur
cv.threshold(binary, binary, 0, 255, cv.THRESH_BINARY+cv.THRESH_OTSU);
let pixelArray = binary.ucharPtr(video.height*(0.7));
var boundary = [];
for (let i = 0; i < pixelArray.length; i++) {
let lastBoundary = 255;
if (pixelArray[i] != pixelArray[i+1]){
boundary.push(i);
}
}
//console.log(Date.now()); //30ms
let centerX = 0;
if (boundary.length >= 4){
centerX = ((boundary[2] - boundary[1])/2) + boundary[1];
} else{
centerX = 0;
}
let centerPoint = new cv.Point(centerX, video.height*(0.7));
cv.circle(dst,centerPoint,5,[255,0,0,255],2); // center point
let leftPoint = new cv.Point(boundary[1], video.height*(0.7));
let rightPoint = new cv.Point(boundary[2], video.height*(0.7));
cv.circle(dst,leftPoint,4,[0,0,255,255],2);
cv.circle(dst,rightPoint,4,[0,0,255,255],2);
let carCenter = new cv.Point(video.width/2, video.height*(0.7));
cv.circle(dst,carCenter,5,[255,255,255,255],2);
cv.imshow('canvasOutput', dst);
if ((video.width/2-centerX) < -10){
motorSteer.reverse();
} else if ((video.width/2-centerX) > 10){
motorSteer.forward();
} else {
motorSteer.stop();
}
// schedule the next one.
let delay = 1000 / FPS - (Date.now() - begin);
setTimeout(processVideo, delay);
} catch (err) {
console.error(err);
}
};
// schedule the first one.
setTimeout(processVideo, 0);
}
</script>
</body>
</html>
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