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Preprocess photographed barcode labels

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mfwadejr
2026-09-21 10:16:40 -04:00
parent 4f71779a12
commit 05278e9ae3
1 changed files with 2 additions and 0 deletions
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public/app.js
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@@ -177,6 +177,8 @@ async function scanLabelPhotoBetter(form,help,file){let url;try{const {BrowserMu
const photoBetterObserver=new MutationObserver(()=>{const input=$("#receiveForm .photo-input");if(input&&!input.dataset.better){input.dataset.better="true";input.onchange=()=>{if(input.files?.[0])scanLabelPhotoBetter($("#receiveForm"),$("#receiveForm .scan-help"),input.files[0]);input.value=""}}});photoBetterObserver.observe($("#modalBody"),{childList:true});
async function scanLabelPhotoFinal(form,help,file){let url;try{const {BrowserMultiFormatReader}=await import("https://cdn.jsdelivr.net/npm/@zxing/browser@0.1.5/+esm"),reader=new BrowserMultiFormatReader();url=URL.createObjectURL(file);const image=new Image();image.src=url;await image.decode();const canvas=document.createElement("canvas"),ctx=canvas.getContext("2d"),found=[];const regions=[{y:0,h:1},{y:.18,h:.68},{y:.32,h:.2},{y:.52,h:.2},{y:.7,h:.2}];for(const region of regions){const sy=Math.floor(image.naturalHeight*region.y),sh=Math.floor(image.naturalHeight*region.h);canvas.width=image.naturalWidth;canvas.height=sh;ctx.drawImage(image,0,sy,image.naturalWidth,sh,0,0,canvas.width,canvas.height);const crop=new Image();crop.src=canvas.toDataURL("image/jpeg",.98);await crop.decode();try{const result=await reader.decodeFromImageElement(crop),value=String(result.getText()||"").trim().replace(/^\s*(UID|SN|MAC)\s*[:#]?\s*/i,"");if(value&&!found.includes(value))found.push(value)}catch{}}if(found.length===3){form.elements.uid.value=found[0];form.elements.sn.value=found[1];form.elements.mac.value=found[2]}else for(const value of found){if(/^([0-9a-f]{2}[:-]){5}[0-9a-f]{2}$/i.test(value)||/^[0-9a-f]{12}$/i.test(value))form.elements.mac.value=value;else if(/^V[0-9A-Z]/i.test(value))form.elements.sn.value=value;else if(!form.elements.uid.value)form.elements.uid.value=value;else if(!form.elements.sn.value)form.elements.sn.value=value;else if(!form.elements.mac.value)form.elements.mac.value=value}help.textContent=found.length?found.length+" barcode"+(found.length===1?"":"s")+" read. Review the fields before adding the device.":"No barcodes detected. Retake the photo with the label filling most of the frame."}catch(error){help.textContent="The photo could not be decoded. Retake it closer and in brighter light, or enter the values manually."}finally{if(url)URL.revokeObjectURL(url)}}
const photoFinalObserver=new MutationObserver(()=>{const input=$("#receiveForm .photo-input");if(input&&!input.dataset.final){input.dataset.final="true";input.onchange=()=>{if(input.files?.[0])scanLabelPhotoFinal($("#receiveForm"),$("#receiveForm .scan-help"),input.files[0]);input.value=""}}});photoFinalObserver.observe($("#modalBody"),{childList:true});
async function scanLabelPhotoPreprocessed(form,help,file){let url;try{const {BrowserMultiFormatReader}=await import("https://cdn.jsdelivr.net/npm/@zxing/browser@0.1.5/+esm"),reader=new BrowserMultiFormatReader();url=URL.createObjectURL(file);const image=new Image();image.src=url;await image.decode();const source=document.createElement("canvas"),sctx=source.getContext("2d");source.width=image.naturalWidth;source.height=image.naturalHeight;sctx.drawImage(image,0,0);const found=[],regions=[{y:0,h:1},{y:.15,h:.7},{y:.28,h:.24},{y:.48,h:.24},{y:.68,h:.24}];for(const region of regions){const sy=Math.floor(source.height*region.y),sh=Math.floor(source.height*region.h),canvas=document.createElement("canvas"),ctx=canvas.getContext("2d"),scale=2;canvas.width=source.width*scale;canvas.height=sh*scale;ctx.drawImage(source,0,sy,source.width,sh,0,0,canvas.width,canvas.height);const pixels=ctx.getImageData(0,0,canvas.width,canvas.height);for(let i=0;i<pixels.data.length;i+=4){const gray=(pixels.data[i]*.299+pixels.data[i+1]*.587+pixels.data[i+2]*.114);const value=gray>175?255:gray<80?0:gray;pixels.data[i]=pixels.data[i+1]=pixels.data[i+2]=value}ctx.putImageData(pixels,0,0);const crop=new Image();crop.src=canvas.toDataURL("image/png");await crop.decode();try{const result=await reader.decodeFromImageElement(crop),value=String(result.getText()||"").trim().replace(/^\s*(UID|SN|MAC)\s*[:#]?\s*/i,"");if(value&&!found.includes(value))found.push(value)}catch{}}if(found.length===3){form.elements.uid.value=found[0];form.elements.sn.value=found[1];form.elements.mac.value=found[2]}else for(const value of found){if(/^([0-9a-f]{2}[:-]){5}[0-9a-f]{2}$/i.test(value)||/^[0-9a-f]{12}$/i.test(value))form.elements.mac.value=value;else if(/^V[0-9A-Z]/i.test(value))form.elements.sn.value=value;else if(!form.elements.uid.value)form.elements.uid.value=value;else if(!form.elements.sn.value)form.elements.sn.value=value;else if(!form.elements.mac.value)form.elements.mac.value=value}help.textContent=found.length?found.length+" barcode"+(found.length===1?"":"s")+" read after image enhancement. Review the fields before adding the device.":"No barcodes detected after image enhancement. Try a closer, brighter photo."}catch(error){help.textContent="The enhanced photo could not be decoded. Enter the identifiers manually."}finally{if(url)URL.revokeObjectURL(url)}}
const photoPreprocessObserver=new MutationObserver(()=>{const input=$("#receiveForm .photo-input");if(input&&!input.dataset.preprocessed){input.dataset.preprocessed="true";input.onchange=()=>{if(input.files?.[0])scanLabelPhotoPreprocessed($("#receiveForm"),$("#receiveForm .scan-help"),input.files[0]);input.value=""}}});photoPreprocessObserver.observe($("#modalBody"),{childList:true});
if(!("BarcodeDetector" in window))document.addEventListener("click",e=>{const button=e.target.closest(".scan-camera");if(button){e.stopPropagation();scanLabelWithLibrary(button.closest("form"),button.closest("form").querySelector(".scan-help"))}},true);
applyTheme();
initialize();