Added ne wlogic in ocr blade file

This commit is contained in:
dhanabalan
2025-10-17 12:02:01 +05:30
parent bb521ca555
commit 1ff84d4fba

View File

@@ -39,7 +39,9 @@ document.addEventListener('DOMContentLoaded', () => {
});
</script> --}}
<div x-data="cameraCapture()" x-init="initCamera()" class="space-y-2">
<div x-data="cameraCapture()" x-init="initCamera()" class="space-y-2" wire:ignore class="space-y-2">
<video x-ref="video" width="320" height="240" autoplay playsinline class="border rounded"></video>
<canvas x-ref="canvas" width="320" height="240" class="hidden"></canvas>
<img x-ref="snapshot" class="hidden border rounded max-w-full">
@@ -48,25 +50,118 @@ document.addEventListener('DOMContentLoaded', () => {
<x-filament::button color="primary" @click="capturePhoto" x-show="!photoTaken">Capture</x-filament::button>
<x-filament::button color="secondary" @click="retakePhoto" x-show="photoTaken">Retake</x-filament::button>
<x-filament::button color="gray" @click="switchCamera" x-show="!photoTaken">Switch Camera</x-filament::button>
<x-filament::button color="gray" @click="verify" x-show="photoTaken">Verify</x-filament::button>
</div>
{{-- <input type="hidden" name="{{ $getName() }}" x-ref="hiddenInput"> --}}
<input type="hidden" x-ref="hiddenInput" x-model="photo1">
{{-- <input type="hidden" x-ref="hiddenInput" name="camera_capture"> --}}
<input type="hidden" x-ref="hiddenInput" id="camera_capture_field" name="camera_capture_file">
</div>
<script src="https://cdn.jsdelivr.net/npm/tesseract.js@4.1.2/dist/tesseract.min.js"></script>
<script>
// function cameraCapture()
// {
// return
// {
// stream: null,
// currentFacingMode: 'user', // 'user' = front, 'environment' = back
// photoTaken: false,
// photo1: '',
// async initCamera() {
// try {
// if (this.stream) {
// this.stream.getTracks().forEach(track => track.stop());
// }
// this.stream = await navigator.mediaDevices.getUserMedia({
// video: { facingMode: this.currentFacingMode }
// });
// this.$refs.video.srcObject = this.stream;
// } catch (err) {
// console.error("Camera error:", err);
// alert("Cannot access camera. Enable permissions or use HTTPS.");
// }
// },
// async switchCamera() {
// this.currentFacingMode = this.currentFacingMode === 'user' ? 'environment' : 'user';
// await this.initCamera();
// },
// capturePhoto() {
// const video = this.$refs.video;
// const canvas = this.$refs.canvas;
// const snapshot = this.$refs.snapshot;
// const context = canvas.getContext('2d');
// context.drawImage(video, 0, 0, canvas.width, canvas.height);
// const dataUrl = canvas.toDataURL('image/png');
// // stop camera stream after capture
// if (this.stream) {
// this.stream.getTracks().forEach(track => track.stop());
// }
// snapshot.src = dataUrl;
// snapshot.classList.remove('hidden');
// video.classList.add('hidden');
// this.photoTaken = true;
// // this.photo1 = dataUrl;
// this.$refs.hiddenInput.value = dataUrl;
// // @this.set('photo1', dataUrl);
// console.log('Captured Image:', dataUrl);
// },
// async verifyOCR(dataUrl) {
// try {
// const { data: { text } } = await Tesseract.recognize(
// dataUrl,
// 'eng', // language
// { logger: m => console.log(m) } // optional
// );
// alert("OCR Result: " + text);
// } catch (err) {
// console.error(err);
// alert("OCR Failed: " + err.message);
// }
// },
// async verify() {
// const dataUrl = this.$refs.hiddenInput.value;
// if (!dataUrl) {
// alert("No captured image found!");
// return;
// }
// await this.verifyOCR(dataUrl);
// },
// async retakePhoto() {
// this.photoTaken = false;
// this.$refs.snapshot.classList.add('hidden');
// this.$refs.video.classList.remove('hidden');
// await this.initCamera();
// }
// }
// }
function cameraCapture() {
return {
stream: null,
currentFacingMode: 'user', // 'user' = front, 'environment' = back
currentFacingMode: 'user',
photoTaken: false,
photo1: '',
async initCamera() {
try {
if (this.stream) {
this.stream.getTracks().forEach(track => track.stop());
}
if (this.stream) this.stream.getTracks().forEach(track => track.stop());
this.stream = await navigator.mediaDevices.getUserMedia({
video: { facingMode: this.currentFacingMode }
@@ -93,22 +188,40 @@ function cameraCapture() {
context.drawImage(video, 0, 0, canvas.width, canvas.height);
const dataUrl = canvas.toDataURL('image/png');
// stop camera stream after capture
if (this.stream) {
this.stream.getTracks().forEach(track => track.stop());
}
if (this.stream) this.stream.getTracks().forEach(track => track.stop());
snapshot.src = dataUrl;
snapshot.classList.remove('hidden');
video.classList.add('hidden');
this.photoTaken = true;
this.photo1 = dataUrl;
this.$refs.hiddenInput.value = dataUrl;
@this.set('photo1', dataUrl);
console.log('Captured Image:', dataUrl);
},
async verifyOCR(dataUrl) {
try {
const { data: { text } } = await Tesseract.recognize(
dataUrl,
'eng',
{ logger: m => console.log(m) }
);
alert("OCR Result: " + text);
} catch (err) {
console.error(err);
alert("OCR Failed: " + err.message);
}
}, // <-- COMMA ADDED HERE
async verify() {
const dataUrl = this.$refs.hiddenInput.value;
if (!dataUrl) {
alert("No captured image found!");
return;
}
await this.verifyOCR(dataUrl);
},
async retakePhoto() {
this.photoTaken = false;
this.$refs.snapshot.classList.add('hidden');
@@ -117,5 +230,88 @@ function cameraCapture() {
}
}
}
</script>
{{-- //..Another Option --}}
{{-- <div x-data="cameraCapture()" x-init="initCamera()" class="space-y-2">
<video x-ref="video" width="320" height="240" autoplay playsinline class="border rounded"></video>
<canvas x-ref="canvas" width="320" height="240" class="hidden"></canvas>
<div class="flex space-x-4 mt-2">
<x-filament::button color="primary" @click="capturePhoto" x-show="!photoTaken">Capture</x-filament::button>
<x-filament::button color="secondary" @click="retakePhoto" x-show="photoTaken">Retake</x-filament::button>
</div>
<input type="hidden" x-ref="hiddenInput" name="camera_capture_file_path">
</div>
<script>
function cameraCapture() {
return {
stream: null,
photoTaken: false,
async initCamera() {
try {
if (this.stream) this.stream.getTracks().forEach(t => t.stop());
this.stream = await navigator.mediaDevices.getUserMedia({ video: true });
this.$refs.video.srcObject = this.stream;
} catch (err) {
console.error("Camera error:", err);
alert("Cannot access camera. Use HTTPS and allow camera access.");
}
},
async capturePhoto() {
const video = this.$refs.video;
const canvas = this.$refs.canvas;
const context = canvas.getContext('2d');
canvas.width = video.videoWidth;
canvas.height = video.videoHeight;
context.drawImage(video, 0, 0, canvas.width, canvas.height);
// Convert canvas to file
canvas.toBlob(async blob => {
const file = new File([blob], 'capture.png', { type: 'image/png' });
console.log("File ready for upload:", file);
// Upload to temp folder
const formData = new FormData();
formData.append('photo', file);
const response = await fetch('/temp-upload', {
method: 'POST',
headers: { 'X-CSRF-TOKEN': '{{ csrf_token() }}' },
body: formData
});
const data = await response.json();
if (data.success) {
this.$refs.hiddenInput.value = data.path; // Filament form hidden input
console.log("Saved to temp:", data.path);
} else {
alert('Failed to save image.');
}
}, 'image/png');
this.photoTaken = true;
if (this.stream) this.stream.getTracks().forEach(track => track.stop());
},
retakePhoto() {
this.photoTaken = false;
this.initCamera();
}
}
}
</script> --}}