added logic in ocr
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@@ -266,7 +266,7 @@ document.addEventListener('DOMContentLoaded', () => {
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{{-- //..Another Option --}}
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<div x-data="cameraCapture()" x-init="initCamera()" wire:ignore class="space-y-2">
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<div x-data="cameraCapture()" x-init="init()" wire:ignore class="space-y-2">
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<video
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x-ref="video"
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autoplay
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@@ -495,45 +495,46 @@ function cameraCapture() {
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},
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async detectText() {
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// Draw video frame to temporary canvas
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const tempCanvas = document.createElement('canvas');
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const video = this.$refs.video;
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const overlay = this.$refs.overlay;
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const ctx = overlay.getContext("2d");
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// Draw video frame to temp canvas
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const tempCanvas = document.createElement("canvas");
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tempCanvas.width = video.videoWidth;
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tempCanvas.height = video.videoHeight;
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const tempCtx = tempCanvas.getContext('2d');
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tempCtx.drawImage(video, 0, 0, tempCanvas.width, tempCanvas.height);
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const tempCtx = tempCanvas.getContext("2d");
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tempCtx.drawImage(video, 0, 0);
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// Run Tesseract.js
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const { data: { words } } = await Tesseract.recognize(tempCanvas.toDataURL(), 'eng');
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// OCR detection
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const { data: { words } } = await Tesseract.recognize(
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tempCanvas.toDataURL(),
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"eng"
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);
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// Clear previous overlay
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ctx.clearRect(0, 0, overlay.width, overlay.height);
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// Draw bounding boxes for each detected word
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ctx.strokeStyle = 'red';
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ctx.strokeStyle = "red";
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ctx.lineWidth = 2;
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ctx.font = '18px Arial';
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ctx.fillStyle = 'red';
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words.forEach(word => {
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if (word.bbox) {
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const { x0, y0, x1, y1 } = word.bbox;
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ctx.strokeRect(x0, y0, x1 - x0, y1 - y0);
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// Optional: draw recognized text
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// ctx.fillText(word.text, x0, y0 - 2);
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}
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});
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},
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// Periodically detect text
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async startDetection() {
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setInterval(detectText, 500); // every 500ms
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startDetection() {
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setInterval(() => this.detectText(), 700);
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},
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// Initialize camera and detection
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(async () => {
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await startCamera();
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startDetection();
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})();
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async init() {
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await this.initCamera();
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this.startDetection();
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}
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}
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}
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