Please bookmark this page to avoid losing your image tool!

TV Model And Identifier Scanner Tool

(Free & Supports Bulk Upload)

Drag & drop your images here or

The result will appear here...
You can edit the below JavaScript code to customize the image tool.
async function processImage(originalImg, themeColor = '#00FFCC', lang = 'ru') {
    // Return an empty canvas if validation fails
    if (!originalImg || !originalImg.width || !originalImg.height) {
        return document.createElement('canvas');
    }
    
    const width = originalImg.width;
    const height = originalImg.height;
    
    // Create and configure the output canvas
    const canvas = document.createElement('canvas');
    canvas.width = width;
    canvas.height = height;
    const ctx = canvas.getContext('2d');

    // Draw the original image as the background
    ctx.drawImage(originalImg, 0, 0, width, height);

    // Apply a dark overlay to create a "screen/hud" effect outside the scan bounds
    ctx.fillStyle = 'rgba(0, 15, 25, 0.65)';
    ctx.fillRect(0, 0, width, height);

    // Define the scanning target area (center 80% of the image)
    const padX = width * 0.1;
    const padY = height * 0.1;
    const scanW = width - padX * 2;
    const scanH = height - padY * 2;

    // Draw the enhanced/cropped portion of the image inside the scanning area
    ctx.save();
    ctx.beginPath();
    ctx.rect(padX, padY, scanW, scanH);
    ctx.clip();
    
    // Use an image filter to give a neon "technical analysis" scan effect
    ctx.filter = `contrast(1.3) brightness(1.2) sepia(0.8) hue-rotate(140deg) saturate(2)`;
    ctx.drawImage(originalImg, 0, 0, width, height);
    ctx.filter = 'none'; // reset filter
    
    // Draw scanning area grid
    ctx.strokeStyle = themeColor;
    ctx.globalAlpha = 0.25;
    ctx.lineWidth = 1;
    const gridSizeX = scanW / 12;
    const gridSizeY = scanH / 12;
    ctx.beginPath();
    for (let x = padX; x <= width - padX; x += gridSizeX) {
        ctx.moveTo(x, padY); 
        ctx.lineTo(x, height - padY);
    }
    for (let y = padY; y <= height - padY; y += gridSizeY) {
        ctx.moveTo(padX, y); 
        ctx.lineTo(width - padX, y);
    }
    ctx.stroke();
    
    // Draw a simulated moving laser scan line
    const scanLineY = padY + (scanH * 0.4); // Statically positioned mid-scan
    ctx.fillStyle = themeColor;
    ctx.globalAlpha = 0.6;
    ctx.fillRect(padX, scanLineY, scanW, Math.max(2, height * 0.005));
    // Trailing glow behind the scanner line
    const gradient = ctx.createLinearGradient(0, padY, 0, scanLineY);
    gradient.addColorStop(0, 'rgba(0, 255, 204, 0)');
    gradient.addColorStop(1, 'rgba(0, 255, 204, 0.15)');
    ctx.fillStyle = gradient;
    ctx.fillRect(padX, padY, scanW, scanLineY - padY);
    
    ctx.globalAlpha = 1.0;
    ctx.restore();

    // Draw HUD Corner Brackets to frame the scan area
    const bracketSize = Math.max(20, Math.min(scanW, scanH) * 0.1);
    ctx.strokeStyle = themeColor;
    ctx.lineWidth = Math.max(2, width * 0.006);
    ctx.lineJoin = 'miter';
    
    const drawCorner = (bx, by, dx, dy) => {
        ctx.beginPath();
        ctx.moveTo(bx + dx, by);
        ctx.lineTo(bx, by);
        ctx.lineTo(bx, by + dy);
        ctx.stroke();
    };

    // Top-left, top-right, bottom-left, bottom-right brackets
    drawCorner(padX, padY, bracketSize, bracketSize);
    drawCorner(width - padX, padY, -bracketSize, bracketSize);
    drawCorner(padX, height - padY, bracketSize, -bracketSize);
    drawCorner(width - padX, height - padY, -bracketSize, -bracketSize);

    // Attempt Native Barcode Detection for physical TV identifiers/models on labels
    let identifiers = [];
    try {
        if ('BarcodeDetector' in window) {
            const detector = new BarcodeDetector();
            const barcodes = await detector.detect(originalImg);
            identifiers = barcodes.map(b => ({
                text: b.rawValue,
                box: b.boundingBox
            }));
        }
    } catch(e) {
        console.warn("Native Barcode/Identifier detection unavailable or failed due to CORS.", e);
    }

    // Font Configuration
    const baseFontSize = Math.max(12, Math.floor(width * 0.02));
    ctx.font = `bold ${baseFontSize}px "Courier New", monospace`;
    ctx.fillStyle = themeColor;

    // Highlight found Identifiers
    let hasIdentifier = identifiers.length > 0;
    if (hasIdentifier) {
        for (const id of identifiers) {
            const { x, y, width: bw, height: bh } = id.box;
            
            ctx.strokeStyle = '#FF3366'; // Highlight color for target model/SN
            ctx.lineWidth = Math.max(2, width * 0.005);
            ctx.strokeRect(x, y, bw, bh);
            
            ctx.fillStyle = '#FF3366';
            ctx.textAlign = 'left';
            const textY = y > baseFontSize + 15 ? y - 10 : y + bh + baseFontSize + 5;
            ctx.fillText(`► ИДЕНТИФИКАТОР: ${id.text}`, x, textY);
            
            // Draw crosshairs on target center
            ctx.beginPath();
            ctx.moveTo(x + bw/2 - 10, y + bh/2); ctx.lineTo(x + bw/2 + 10, y + bh/2);
            ctx.moveTo(x + bw/2, y + bh/2 - 10); ctx.lineTo(x + bw/2, y + bh/2 + 10);
            ctx.stroke();
        }
    }

    // Overlay General HUD Text & Telemetry
    ctx.fillStyle = themeColor;
    
    // Top Left Headers
    const title1 = lang === 'ru' ? 'ОБЗОР ТЕЛЕВИЗОРЫ' : 'TV REVIEW';
    const title2 = lang === 'ru' ? 'СКАНЕР ИДЕНТИФИКАТОР' : 'IDENTIFIER SCANNER TOOL';
    ctx.textAlign = 'left';
    ctx.fillText(`${title1} / СКАНИРОВАНИЕ ЗАПУЩЕНО`, padX, padY - baseFontSize * 1.6);
    ctx.fillText(`ИНСТРУМЕНТ: ${title2}`, padX, padY - baseFontSize * 0.4);

    // Top Right Info
    ctx.textAlign = 'right';
    ctx.fillText(`SYS.RES: ${width}x${height}PX`, width - padX, padY - baseFontSize * 1.6);
    ctx.fillText(`FREQ: ${(Math.random() * 5 + 55).toFixed(2)}HZ | HDR: DETECTED`, width - padX, padY - baseFontSize * 0.4);

    // Bottom Status Output
    ctx.textAlign = 'left';
    const statusOutputTitle = lang === 'ru' ? 'СТАТУС:' : 'STATUS:';
    if (hasIdentifier) {
        ctx.fillText(`${statusOutputTitle} ИДЕНТИФИКАТОРЫ НАЙДЕНЫ И РАСПОЗНАНЫ (${identifiers.length})`, padX, height - padY + baseFontSize + 10);
    } else {
        ctx.fillText(`${statusOutputTitle} ИДЕНТИФИКАТОР (ШТРИХ-КОД/QR) НЕ ОБНАРУЖЕН. ТРЕБУЕТСЯ РУЧНОЙ ВВОД.`, padX, height - padY + baseFontSize + 10);
    }
    ctx.fillText('МОДЕЛЬ ТЕЛЕВИЗОРА: АНАЛИЗ ФОРМЫ...', padX, height - padY + baseFontSize * 2.5 + 10);

    // Central crosshair graphic
    ctx.beginPath();
    ctx.moveTo(width / 2 - baseFontSize*1.5, height / 2);
    ctx.lineTo(width / 2 + baseFontSize*1.5, height / 2);
    ctx.moveTo(width / 2, height / 2 - baseFontSize*1.5);
    ctx.lineTo(width / 2, height / 2 + baseFontSize*1.5);
    ctx.strokeStyle = themeColor;
    ctx.globalAlpha = 0.8;
    ctx.lineWidth = Math.max(1, width * 0.002);
    ctx.stroke();

    ctx.beginPath();
    ctx.arc(width / 2, height / 2, baseFontSize * 0.8, 0, Math.PI * 2);
    ctx.stroke();
    
    // Add fake processing hex streams down the left side for tech/scanner effect
    ctx.font = `normal ${Math.max(8, baseFontSize * 0.6)}px "Courier New", monospace`;
    ctx.globalAlpha = 0.5;
    for(let i = 0; i < 15; i++) {
        const fakeHex = '0x' + Math.floor(Math.random()*65535).toString(16).padEnd(4,'0').toUpperCase();
        ctx.fillText(fakeHex, padX + 10, padY + (scanH * 0.1) + (i * baseFontSize));
    }
    ctx.globalAlpha = 1.0;

    return canvas;
}

Free Image Tool Creator

Can't find the image tool you're looking for?
Create one based on your own needs now!

Description

The TV Model and Identifier Scanner Tool is a specialized utility designed to process images of televisions to detect and highlight product information. Using advanced scanning effects and barcode detection, the tool can identify serial numbers, model identifiers, or QR codes present on TV labels. It overlays a high-tech HUD (Heads-Up Display) onto the image, providing a visual analysis of the scanned area. This tool is useful for technicians, inventory managers, or consumers who need to quickly extract and visually confirm hardware identification details from photos of electronic devices.

Leave a Reply

Your email address will not be published. Required fields are marked *