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}, + "node_modules/tar/node_modules/mkdirp": { + "version": "1.0.4", + "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-1.0.4.tgz", + "integrity": "sha512-vVqVZQyf3WLx2Shd0qJ9xuvqgAyKPLAiqITEtqW0oIUjzo3PePDd6fW9iFz30ef7Ysp/oiWqbhszeGWW2T6Gzw==", + "optional": true, + "peer": true, + "bin": { + "mkdirp": "bin/cmd.js" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/tar/node_modules/yallist": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", + "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", + "optional": true, + "peer": true + }, "node_modules/temp-dir": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/temp-dir/-/temp-dir-2.0.0.tgz", @@ -15911,6 +16288,16 @@ "url": "https://github.com/sponsors/ljharb" } }, + "node_modules/wide-align": { + "version": "1.1.5", + "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz", + "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==", + "optional": true, + "peer": true, + "dependencies": { + "string-width": "^1.0.2 || 2 || 3 || 4" + } + }, "node_modules/word-wrap": { "version": "1.2.5", "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz", diff --git a/package.json b/package.json index 4ab9a48..24a79c0 100644 --- a/package.json +++ b/package.json @@ -7,6 +7,7 @@ "@testing-library/jest-dom": "^6.6.3", "@testing-library/react": "^16.3.0", "@testing-library/user-event": "^13.5.0", + "pixelmatch": "^7.1.0", "react": "^19.1.0", "react-dom": "^19.1.0", "react-router-dom": "^7.6.2", diff --git a/public/ktp.jpeg b/public/ktp.jpeg new file mode 100644 index 0000000..a22b67f Binary files /dev/null and b/public/ktp.jpeg differ diff --git a/src/KTPScanner.js b/src/KTPScanner.js index fc69aaf..311e084 100644 --- a/src/KTPScanner.js +++ b/src/KTPScanner.js @@ -1,6 +1,7 @@ import React, { useEffect, useRef, useState } from "react"; import Modal from "./Modal"; import FormComponent from "./FormComponent"; +import pixelmatch from "pixelmatch"; const STORAGE_KEY = "camera_canvas_gallery"; @@ -17,11 +18,47 @@ const CameraCanvas = () => { const [modalOpen, setModalOpen] = useState(false); const [loading, setLoading] = useState(false); + const [KTPdetected, setKTPdetected] = useState(false); + const fileInputRef = useRef(null); const triggerFileSelect = () => { fileInputRef.current?.click(); }; + const loadImageToCanvas = (src, width, height) => { + return new Promise((resolve) => { + const img = new Image(); + img.src = src; + img.onload = () => { + const canvas = document.createElement("canvas"); + canvas.width = width; + canvas.height = height; + const ctx = canvas.getContext("2d"); + ctx.drawImage(img, 0, 0, width, height); + resolve(canvas); + }; + }); + }; + + const isImageSimilar = (canvasA, canvasB) => { + const ctxA = canvasA.getContext("2d"); + const ctxB = canvasB.getContext("2d"); + + const imgA = ctxA.getImageData(0, 0, canvasA.width, canvasA.height); + const imgB = ctxB.getImageData(0, 0, canvasB.width, canvasB.height); + + const diffPixels = pixelmatch( + imgA.data, + imgB.data, + null, + canvasA.width, + canvasA.height, + { threshold: 0.6 } + ); + + const similarity = diffPixels / (canvasA.width * canvasA.height); + return similarity < 0.2; // you can adjust the threshold + }; const rectRef = useRef({ x: 0, @@ -149,7 +186,7 @@ const CameraCanvas = () => { getCameraStream(); }, [isFreeze]); - const shootImage = () => { + const shootImage = async () => { const video = videoRef.current; const { x, y, width, height } = rectRef.current; const hiddenCanvas = hiddenCanvasRef.current; @@ -163,6 +200,7 @@ const CameraCanvas = () => { canvasRef.current.height ); setIsFreeze(true); + setLoading(true); hiddenCtx.drawImage(video, 0, 0, hiddenCanvas.width, hiddenCanvas.height); @@ -185,12 +223,24 @@ const CameraCanvas = () => { const imageDataUrl = cropCanvas.toDataURL("image/png", 1.0); setCapturedImage(imageDataUrl); + + // 👉 Load sample KTP and compare + const sampleKtpCanvas = await loadImageToCanvas( + "/ktp.jpeg", + cropCanvas.width, + cropCanvas.height + ); + + const isSimilar = isImageSimilar(cropCanvas, sampleKtpCanvas); + setKTPdetected(isSimilar); + + setLoading(false); + // Continue to OCR etc... }; const ReadImage = async (capturedImage) => { try { setLoading(true); - setModalOpen(true); let res = await fetch( "https://bot.kediritechnopark.com/webhook/mastersnapper/read", @@ -268,24 +318,13 @@ const CameraCanvas = () => { setCapturedImage(imageDataUrl); setIsFreeze(true); - // Create an image object from the uploaded file const image = new Image(); - image.onload = () => { - // Get the width of the rounded rectangle from rectRef + image.onload = async () => { const rectWidth = rectRef.current.width; const rectHeight = rectRef.current.height; - - // Create a canvas to draw the uploaded image const canvas = canvasRef.current; const ctx = canvas.getContext("2d"); - // Set the scale factor based on the rectangle width - const scaleFactor = rectWidth / image.width; - - // Calculate the new height based on the aspect ratio - const newHeight = image.height * scaleFactor; - - // Clear the canvas and draw the video or freeze frame ctx.clearRect(0, 0, canvas.width, canvas.height); if (isFreeze && freezeFrameRef.current) { ctx.putImageData(freezeFrameRef.current, 0, 0); @@ -294,7 +333,6 @@ const CameraCanvas = () => { ctx.drawImage(video, 0, 0, canvas.width, canvas.height); } - // Draw the rounded rectangle drawRoundedRect( ctx, rectRef.current.x, @@ -304,7 +342,6 @@ const CameraCanvas = () => { rectRef.current.radius ); - // Draw the image inside the rounded rectangle ctx.save(); ctx.beginPath(); ctx.moveTo( @@ -352,26 +389,79 @@ const CameraCanvas = () => { rectRef.current.y ); ctx.closePath(); - ctx.clip(); // Clip the image within the rounded rectangle + ctx.clip(); + + // === Object-Fit: Cover Logic === + const imageAspectRatio = image.width / image.height; + const rectAspectRatio = rectWidth / rectHeight; + + let sx, sy, sWidth, sHeight; + + if (imageAspectRatio > rectAspectRatio) { + // Image is wider than rect + sHeight = image.height; + sWidth = sHeight * rectAspectRatio; + sx = (image.width - sWidth) / 2; + sy = 0; + } else { + // Image is taller than rect + sWidth = image.width; + sHeight = sWidth / rectAspectRatio; + sx = 0; + sy = (image.height - sHeight) / 2; + } - // Draw the uploaded image inside the clipped region ctx.drawImage( image, + sx, + sy, + sWidth, + sHeight, rectRef.current.x, rectRef.current.y, rectWidth, - newHeight // Height is scaled based on the image's aspect ratio + rectHeight ); + // ============================== ctx.restore(); - // Save the image data into the freeze frame reference freezeFrameRef.current = ctx.getImageData( 0, 0, canvas.width, canvas.height ); + + const cropCanvas = document.createElement("canvas"); + cropCanvas.width = rectWidth; + cropCanvas.height = rectHeight; + const cropCtx = cropCanvas.getContext("2d"); + + cropCtx.drawImage( + canvas, + rectRef.current.x, + rectRef.current.y, + rectWidth, + rectHeight, + 0, + 0, + rectWidth, + rectHeight + ); + + const ktpSample = new Image(); + ktpSample.src = "/ktp.jpeg"; + ktpSample.onload = () => { + const sampleCanvas = document.createElement("canvas"); + sampleCanvas.width = rectWidth; + sampleCanvas.height = rectHeight; + const sampleCtx = sampleCanvas.getContext("2d"); + sampleCtx.drawImage(ktpSample, 0, 0, rectWidth, rectHeight); + + const isSimilar = isImageSimilar(cropCanvas, sampleCanvas); + setKTPdetected(isSimilar); + }; }; image.src = imageDataUrl; }; @@ -424,7 +514,6 @@ const CameraCanvas = () => { padding: "20px", }} > -