AI-Object-Detection/index.html at main · chandrakantapanda/AI-Object-Detection · GitHub

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<!DOCTYPE html>
<html lang="en">

<head>
  <title>AI Object Detection</title>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <link rel="stylesheet"
    href="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/css/materialize.min.css">
  <script src="https://unpkg.com/ml5@0.12.2/dist/ml5.min.js"></script>

  <style>
    body {
      text-align: center;
      background: #111;
      color: white;
    }

    video {
      width: 0px;
      height: 0px;
    }

    canvas {
      border-radius: 12px;
      box-shadow: 0 0 20px rgba(0, 255, 0, 0.3);
    }

    table {
      width: auto;
      margin: auto;
    }

    #objectCount {
      font-size: 18px;
      margin-top: 10px;
      font-weight: bold;
      color: #00ff99;
    }
  </style>
</head>

<body>

  <h3 id="loadingText">Loading AI Model & Camera...</h3>

  <video playsinline autoplay muted id="video"></video>
  <br><br>
  <canvas id="c1"></canvas>

  <div id="objectCount">Objects Detected: 0</div>

  <br>

  <table>
    <tr>
      <td>AI:</td>
      <td>
        <div class="switch">
          <label>
            Off
            <input type="checkbox" id="ai" disabled>
            <span class="lever"></span>
            On
          </label>
        </div>
      </td>
    </tr>

  </table>

<script>
/* ---------------- MODEL SETUP ---------------- */

let modelIsLoaded = false;
let detecting = false;

const objectDetector = ml5.objectDetector('cocossd', {}, () => {
  console.log("Model Loaded!");
  modelIsLoaded = true;
});

/* ---------------- DOM ELEMENTS ---------------- */

const video = document.getElementById("video");
const canvas = document.getElementById("c1");
const ctx = canvas.getContext("2d");

const aiToggle = document.getElementById("ai");

const loadingText = document.getElementById("loadingText");
const objectCountText = document.getElementById("objectCount");

/* ---------------- VARIABLES ---------------- */

let cameraAvailable = false;
let aiEnabled = false;
let fps = 20;

/* ---------------- CAMERA ---------------- */

const constraints = {
  audio: false,
  video: { facingMode: "environment" }
};

startCamera();

function startCamera() {
  navigator.mediaDevices.getUserMedia(constraints)
    .then(stream => {
      cameraAvailable = true;
      video.srcObject = stream;

      video.addEventListener("loadedmetadata", () => {
        setResolution();
        mainLoop();
      });
    })
    .catch(err => {
      loadingText.innerText = "Camera permission required";
      console.error(err);
    });
}

/* ---------------- READY CHECK ---------------- */

function isReady() {
  if (modelIsLoaded && cameraAvailable) {
    // loadingText.style.display = "none";
    loadingText.innerText = "Ai Object Detection";
    aiToggle.disabled = false;
    return true;
  }
  return false;
}

/* ---------------- RESOLUTION ---------------- */

function setResolution() {
  if (window.innerWidth < video.videoWidth) {
    canvas.width = window.innerWidth * 0.9;
    let ratio = canvas.width / video.videoWidth;
    canvas.height = video.videoHeight * ratio;
  } else {
    canvas.width = video.videoWidth;
    canvas.height = video.videoHeight;
  }
}

/* ---------------- EVENTS ---------------- */

aiToggle.addEventListener("change", () => {
  aiEnabled = aiToggle.checked;
});


/* ---------------- MAIN LOOP ---------------- */

function mainLoop() {
  if (isReady()) {
    ctx.drawImage(video, 0, 0, canvas.width, canvas.height);

    if (aiEnabled) {
      runDetection();
    }
  }

  setTimeout(mainLoop, 1000 / fps);
}

/* ---------------- AI DETECTION ---------------- */

function runDetection() {
  if (detecting) return;
  detecting = true;

  objectDetector.detect(canvas, (err, results) => {
    detecting = false;

    if (err || !results) return;

    objectCountText.innerText = "Objects Detected: " + results.length;

    results.forEach(obj => {

      // Draw Bounding Box
      ctx.beginPath();
      ctx.strokeStyle = "#00ff99";
      ctx.lineWidth = 3;
      ctx.rect(obj.x, obj.y, obj.width, obj.height);
      ctx.stroke();

      // Draw Label
      ctx.fillStyle = "#00ff99";
      ctx.font = "16px Arial";
      ctx.fillText(
        obj.label + " (" + (obj.confidence * 100).toFixed(1) + "%)",
        obj.x + 5,
        obj.y > 20 ? obj.y - 5 : 20
      );
    });
  });
}

</script>

<script src="https://cdnjs.cloudflare.com/ajax/libs/materialize/1.0.0/js/materialize.min.js"></script>

</body>
</html>