Calculator with Camera

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Camera Calculator: Understand Your Imaging Potential

Camera Performance Estimator

Input your camera's specifications to estimate key performance metrics.

Total number of megapixels (e.g., 24.2 for a common DSLR/mirrorless).
Please enter a positive number for megapixels.
Width of the image sensor in millimeters (e.g., 35.9mm for full-frame).
Please enter a positive number for sensor width.
Height of the image sensor in millimeters (e.g., 24.0mm for full-frame).
Please enter a positive number for sensor height.
The highest usable ISO setting for acceptable image quality (e.g., 51200).
Please enter a positive number for maximum ISO.
The distance between the centers of adjacent pixels in micrometers (µm). Calculated from MP and sensor size.
Please enter a positive number for pixel pitch.

Estimated Camera Performance

x Resolution (Pixels)
mm² Sensor Area
Low Light Score (Relative)
Formulae Used:
Resolution (Width/Height) = sqrt(Megapixels * Aspect Ratio)
Aspect Ratio = Sensor Width / Sensor Height
Sensor Area = Sensor Width * Sensor Height
Low Light Score ≈ Max ISO / Pixel Pitch (Higher is generally better for low light)

ISO vs. Low Light Score Projection

ISO Setting Projected Low Light Score
Key Camera Specifications & Performance Metrics
Metric Value Unit Description
Megapixels MP Total image resolution.
Sensor Dimensions mm Physical size of the image sensor.
Sensor Area mm² Total light-gathering surface area.
Maximum ISO ISO Highest usable sensitivity setting.
Pixel Pitch µm Size of individual pixels.
Image Resolution Pixels Dimensions of the captured image.
Low Light Score Relative Estimated performance in low light conditions.

Understanding Your Camera's Potential with the Camera Calculator

What is Camera Performance Estimation?

Camera performance estimation involves analyzing the core specifications of a digital camera to predict its capabilities in various shooting scenarios. It's not about subjective image quality, but rather the quantifiable aspects derived from hardware specifications like sensor size, megapixel count, and maximum ISO. This allows photographers, videographers, and tech enthusiasts to make informed comparisons and understand the inherent potential of a camera before even taking a shot.

Who should use it:

  • Enthusiast Photographers: Comparing different camera models to understand which might offer better detail or low-light capabilities.
  • Content Creators: Assessing if a camera's resolution and sensor characteristics are suitable for their video or photography needs.
  • Tech Reviewers: Providing a baseline quantitative analysis to supplement subjective reviews.
  • Consumers: Making more informed purchasing decisions by understanding the technical underpinnings of camera marketing.

Common Misconceptions:

  • "More Megapixels Always Means Better Photos": While more megapixels can mean more detail, they also lead to smaller pixels on the same sensor size, potentially reducing low-light performance and increasing noise.
  • "Maximum ISO is the Only Factor for Low Light": Sensor size and pixel pitch play crucial roles. A larger sensor with larger pixels (lower pixel pitch) can often perform better at high ISO than a smaller sensor with tiny pixels, even if the megapixel count is similar.
  • "Calculated Scores Replace Real-World Testing": These calculators provide estimations based on physics and common correlations. Actual performance can be affected by image processing, lens quality, and specific shooting conditions.

Camera Performance Calculator Formula and Mathematical Explanation

The Camera Performance Calculator uses several key formulas to derive meaningful metrics from basic camera specifications. These calculations help quantify aspects like image resolution, sensor efficiency, and relative low-light capability.

Core Calculations:

  1. Aspect Ratio: This is the ratio of the sensor's width to its height. It determines the shape of the image frame.
    Aspect Ratio = Sensor Width / Sensor Height
  2. Image Resolution (Width & Height): Using the total megapixels and the aspect ratio, we can estimate the pixel dimensions of the captured image.
    Image Width (pixels) = sqrt(Megapixels * Aspect Ratio) * 1000
    Image Height (pixels) = sqrt(Megapixels / Aspect Ratio) * 1000
    *(Note: We multiply by 1000 because 1 megapixel = 1,000,000 pixels, so sqrt(MP) gives a value related to linear dimensions in units of 1000 pixels)*
  3. Sensor Area: The total physical area of the image sensor, directly related to its light-gathering capability.
    Sensor Area (mm²) = Sensor Width * Sensor Height
  4. Pixel Pitch: The distance between the centers of adjacent pixels. Smaller pixel pitch means smaller pixels for a given megapixel count on the same sensor size. This is often calculated directly or derived. For calculation purposes here, we assume it's provided or can be derived if needed. A common approximation if not given:
    Pixel Pitch (µm) ≈ (Sensor Width (mm) * 1000) / (Image Width (pixels) / 1000)
    Or more directly:
    Pixel Pitch (µm) = (Sensor Width (mm) * 1000) / (sqrt(Megapixels * Aspect Ratio))
  5. Low Light Score (Relative): This is a simplified metric to estimate low-light performance. It generally correlates positively with the size of the pixels (larger pixels capture more light) and negatively with the required amplification (higher ISO). A common proxy is the ratio of Maximum ISO to Pixel Pitch. A higher score suggests better potential performance in low light, assuming other factors like noise reduction are equal.
    Low Light Score ≈ Maximum ISO / Pixel Pitch

Variables Table:

Here's a breakdown of the variables used in our calculations:

Variable Meaning Unit Typical Range
Megapixels (MP) Total number of pixels on the sensor. Megapixels 12 MP – 100+ MP
Sensor Width Physical width of the image sensor. mm ~1.6mm (webcam) to ~86mm (medium format)
Sensor Height Physical height of the image sensor. mm ~1.2mm (webcam) to ~64mm (medium format)
Maximum ISO Highest sensitivity setting before significant quality degradation. ISO Value 100 – 204,800+
Pixel Pitch Distance between pixel centers. µm (micrometers) ~1.5 µm (high MP small sensor) to ~10+ µm (low MP large sensor)
Aspect Ratio Ratio of sensor width to height. Ratio ~1.33 (4:3) to ~1.78 (16:9) to ~1.5 (3:2)
Sensor Area Total light-gathering surface. mm² Varies greatly with sensor format.
Image Resolution Pixel dimensions of the final image. Pixels e.g., 6000 x 4000 pixels
Low Light Score Relative indicator of low-light capability. Relative Unit Higher values indicate better potential.

Practical Examples (Real-World Use Cases)

Let's explore how the Camera Performance Calculator can be used with real-world camera specifications.

Example 1: High-End Full-Frame Mirrorless Camera

Consider a popular full-frame mirrorless camera known for its balance of resolution and performance.

  • Inputs:
    • Megapixels: 24.2 MP
    • Sensor Width: 35.9 mm
    • Sensor Height: 24.0 mm
    • Maximum ISO: 51200
  • Calculator Output:
    • Main Result (Low Light Score): ~8557
    • Intermediate Values:
      • Resolution: 6000 x 4000 pixels
      • Sensor Area: 861.6 mm²
      • Low Light Score: ~8557

Financial Interpretation: This camera offers a substantial sensor area, enabling good light capture. The relatively high maximum ISO combined with a moderate pixel pitch (derived from the inputs) results in a strong Low Light Score. This suggests it's well-suited for professional event photography, weddings, or astrophotography where capturing detail in challenging light is crucial. The investment in such a camera is justified by its versatility and performance in demanding conditions.

Example 2: Compact Camera with High Megapixel Count

Now, let's look at a compact camera, perhaps a high-end point-and-shoot or a smartphone main sensor, focusing on high resolution.

  • Inputs:
    • Megapixels: 48 MP
    • Sensor Width: 6.17 mm
    • Sensor Height: 4.55 mm
    • Maximum ISO: 6400
  • Calculator Output:
    • Main Result (Low Light Score): ~1055
    • Intermediate Values:
      • Resolution: 8000 x 6000 pixels
      • Sensor Area: 28.07 mm²
      • Low Light Score: ~1055

Financial Interpretation: This camera boasts a very high megapixel count, leading to extremely detailed images in good lighting. However, the small sensor size and resulting small pixel pitch significantly limit its low-light performance, as indicated by the much lower Low Light Score. This camera is ideal for daytime photography, travel, or situations where maximum detail is prioritized over low-light noise performance. The lower cost compared to larger sensor cameras makes it a financially sound choice for specific use cases, but users must be aware of its limitations in dim environments.

How to Use This Camera Performance Calculator

Using the Camera Performance Calculator is straightforward. Follow these steps to understand your camera's potential:

  1. Gather Your Camera's Specifications: You'll need the camera's megapixel count, the physical dimensions (width and height) of its image sensor, and its maximum usable ISO setting. These are usually found in the camera's manual, on the manufacturer's website, or in reputable tech reviews.
  2. Input the Data: Enter the values into the corresponding fields: "Megapixels (MP)", "Sensor Width (mm)", "Sensor Height (mm)", and "Maximum ISO". Ensure you use the correct units (millimeters for dimensions, ISO value). The "Pixel Pitch" field is often auto-calculated or can be manually entered if known; it's primarily for understanding the underlying physics.
  3. Calculate: Click the "Calculate Performance" button. The calculator will process your inputs using the defined formulas.
  4. Interpret the Results:
    • Main Result (Low Light Score): This highlighted number provides a quick relative comparison for low-light shooting. Higher is generally better.
    • Intermediate Values:
      • Resolution (Pixels): Shows the width and height in pixels, indicating the potential for detail and cropping.
      • Sensor Area (mm²): A larger area means more light-gathering capability, crucial for dynamic range and low light.
      • Low Light Score: The calculated score based on ISO and pixel pitch.
    • Table: The table provides a detailed breakdown of all input and calculated metrics for easy reference.
    • Chart: The chart visually represents the relationship between ISO settings and the projected Low Light Score, helping to understand the trade-offs as sensitivity increases.
  5. Decision-Making Guidance:
    • High Low Light Score + Large Sensor Area: Indicates suitability for professional work, events, low-light photography, and situations demanding high image quality across various conditions. This often represents a higher financial investment.
    • High Megapixels + Small Sensor Area: Suggests excellent detail capture in good light but potential limitations in low light and dynamic range. Ideal for daylight shooting, landscapes, or when large prints are needed from well-lit scenes. Often a more budget-friendly option.
    • Low Megapixels + Large Sensor Area: Typically offers excellent low-light performance and dynamic range, often found in cinema cameras or specialized low-light cameras. Detail might be less than high-MP cameras in bright light.
  6. Reset: Use the "Reset Defaults" button to clear your inputs and return to the example values.
  7. Copy Results: Click "Copy Results" to copy the main result, intermediate values, and key assumptions to your clipboard for use elsewhere.

Key Factors That Affect Camera Performance Results

While our calculator provides valuable estimations, several real-world factors significantly influence a camera's actual performance beyond the basic specifications:

  1. Image Signal Processor (ISP): The camera's internal processor is critical. Advanced ISPs perform sophisticated noise reduction, sharpening, and color processing, which can dramatically improve perceived image quality, especially at high ISOs, often overcoming the limitations suggested by simple pixel pitch calculations.
  2. Lens Quality: The lens attached to the camera is arguably as important as the sensor itself. A sharp, fast lens (wide aperture) allows more light to reach the sensor, improving low-light performance and enabling shallower depth of field, regardless of the camera body's specifications. The cost of a good lens can be substantial.
  3. Pixel Binning Technology: Many modern cameras, especially those with high megapixel counts on smaller sensors (like smartphones), use pixel binning. This process combines data from multiple adjacent pixels into one larger "super pixel," effectively improving low-light sensitivity and reducing noise at the cost of resolution. Our calculator typically uses the native resolution unless pixel binning is explicitly accounted for.
  4. Dynamic Range: This refers to the camera's ability to capture detail in both the brightest highlights and darkest shadows simultaneously. While sensor size and pixel pitch play a role, the ISP and sensor technology (e.g., dual gain sensors) are major determinants. A camera might have a good low-light score but struggle with extreme contrast scenes.
  5. Autofocus System: Performance in real-world shooting is heavily dependent on the autofocus system's speed, accuracy, and tracking capabilities, especially for moving subjects. This is a mechanical and electronic factor not captured by sensor specifications alone.
  6. Ergonomics and User Interface: How comfortable and intuitive the camera is to use directly impacts the photographer's ability to capture the desired shot effectively. Button layout, menu system, and physical controls are crucial for usability, influencing the overall "value" proposition.
  7. Video Capabilities: For videographers, factors like frame rates (e.g., 4K/60fps, 8K), bit depth, color sampling (e.g., 10-bit 4:2:2), and internal stabilization are paramount and not directly addressed by this stills-focused calculator. The financial implications of these features can be significant.
  8. Build Quality and Weather Sealing: Professional cameras often feature robust construction and weather sealing, allowing them to withstand harsh environmental conditions. This durability adds to the cost but ensures reliability in demanding situations, impacting the long-term financial viability of the equipment.

Frequently Asked Questions (FAQ)

Q: What is the most important specification for low-light photography?

A: While maximum ISO is important, sensor size and pixel pitch are arguably more fundamental. Larger sensors with larger pixels gather more light, leading to cleaner images at higher ISOs. Our "Low Light Score" attempts to balance these factors.

Q: Does a higher megapixel count always mean better image quality?

A: Not necessarily. Higher megapixels on the same sensor size mean smaller pixels, which can lead to more noise and lower dynamic range, especially in low light. Detail is improved in good light, but overall quality is a balance.

Q: How does sensor size affect performance?

A: Larger sensors (like full-frame or medium format) have more surface area to capture light. This generally results in better low-light performance, wider dynamic range, and the ability to achieve shallower depth of field compared to smaller sensors (like APS-C or Micro Four Thirds) at equivalent apertures.

Q: Can I use this calculator for smartphone cameras?

A: Yes, you can input the specifications for a smartphone's main camera sensor. However, remember that smartphones heavily rely on computational photography (software processing) which significantly impacts final image quality in ways not captured by basic hardware calculations.

Q: What does "Pixel Pitch" mean in practical terms?

A: Pixel pitch is the physical size of each individual pixel on the sensor. Larger pixels (larger pitch) can capture more photons (light), leading to better signal-to-noise ratio, especially important in low light. Smaller pixels (smaller pitch) allow for more megapixels on a given sensor size, increasing potential detail in good light.

Q: Is the "Low Light Score" a definitive measure?

A: No, it's a relative indicator based on common correlations between ISO, pixel size, and sensor area. Actual low-light performance depends heavily on the camera's specific sensor technology and image processing algorithms.

Q: How does the aspect ratio affect the image?

A: The aspect ratio (e.g., 3:2, 4:3, 16:9) determines the shape of your photograph or video frame. While it doesn't directly impact light sensitivity, it affects the composition and how much of a scene is captured horizontally versus vertically.

Q: Should I prioritize sensor size or megapixels when buying a camera?

A: It depends on your primary use case. For low light, portraits (shallow depth of field), and general professional use, a larger sensor is often preferred. For maximum detail in well-lit conditions (e.g., landscapes, studio product shots) and potential cropping flexibility, higher megapixels can be beneficial, especially if paired with a good lens and sensor.

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var chartInstance = null; // Global variable to hold chart instance function validateInput(id, min, max) { var inputElement = document.getElementById(id); var value = parseFloat(inputElement.value); var errorElement = inputElement.nextElementSibling.nextElementSibling; // The error message div inputElement.classList.remove('error-active'); errorElement.style.display = 'none'; if (isNaN(value) || value max) { inputElement.classList.add('error-active'); errorElement.textContent = "Value exceeds maximum limit."; errorElement.style.display = 'block'; return false; } if (min && value < min) { inputElement.classList.add('error-active'); errorElement.textContent = "Value is below minimum limit."; errorElement.style.display = 'block'; return false; } return true; } function calculateCameraPerformance() { // Validate all inputs first var isValid = true; isValid &= validateInput('megapixels'); isValid &= validateInput('sensorWidth'); isValid &= validateInput('sensorHeight'); isValid &= validateInput('isoMax'); // Pixel pitch is often derived, but we validate if manually entered if (document.getElementById('pixelPitch').disabled === false) { isValid &= validateInput('pixelPitch'); } if (!isValid) { // Clear results if any input is invalid document.getElementById('mainResult').textContent = '–'; document.getElementById('resolutionWidth').textContent = '–'; document.getElementById('resolutionHeight').textContent = '–'; document.getElementById('sensorArea').textContent = '–'; document.getElementById('lowLightScore').textContent = '–'; updateTable('–', '–', '–', '–', '–', '–', '–'); updateChart([]); // Clear chart return; } var megapixels = parseFloat(document.getElementById('megapixels').value); var sensorWidth = parseFloat(document.getElementById('sensorWidth').value); var sensorHeight = parseFloat(document.getElementById('sensorHeight').value); var isoMax = parseFloat(document.getElementById('isoMax').value); var pixelPitchInput = parseFloat(document.getElementById('pixelPitch').value); // Get value, but we'll recalculate if needed var aspectRatio = sensorWidth / sensorHeight; var resolutionWidthPixels = Math.round(Math.sqrt(megapixels * aspectRatio) * 1000); var resolutionHeightPixels = Math.round(Math.sqrt(megapixels / aspectRatio) * 1000); var sensorArea = sensorWidth * sensorHeight; // Recalculate pixel pitch based on MP and sensor dimensions for consistency // Formula: Pixel Pitch (µm) = (Sensor Width (mm) * 1000) / (Image Width (pixels) / 1000) // Simplified: Pixel Pitch (µm) = (Sensor Width (mm) * 1,000,000) / Image Width (pixels) var calculatedPixelPitch = (sensorWidth * 1000000) / (resolutionWidthPixels * 1000); // Corrected calculation document.getElementById('pixelPitch').value = calculatedPixelPitch.toFixed(2); // Update the input field // Low Light Score calculation var lowLightScore = isoMax / calculatedPixelPitch; var mainResultText = lowLightScore.toFixed(0); // Display as integer for simplicity // Update results display document.getElementById('mainResult').textContent = mainResultText; document.getElementById('resolutionWidth').textContent = resolutionWidthPixels; document.getElementById('resolutionHeight').textContent = resolutionHeightPixels; document.getElementById('sensorArea').textContent = sensorArea.toFixed(1); document.getElementById('lowLightScore').textContent = mainResultText; // Update table updateTable(megapixels, sensorWidth, sensorHeight, sensorArea, isoMax, calculatedPixelPitch, resolutionWidthPixels + ' x ' + resolutionHeightPixels, mainResultText); // Update chart updateChart(megapixels, sensorWidth, sensorHeight, isoMax, calculatedPixelPitch); } function updateTable(megapixels, sensorWidth, sensorHeight, sensorArea, isoMax, pixelPitch, resolution, lowLightScore) { document.getElementById('tableMegapixels').textContent = megapixels === '–' ? '–' : megapixels.toFixed(1); document.getElementById('tableSensorDims').textContent = sensorWidth === '–' ? '–' : sensorWidth.toFixed(1) + ' x ' + (sensorHeight === '–' ? '–' : sensorHeight.toFixed(1)); document.getElementById('tableSensorArea').textContent = sensorArea === '–' ? '–' : sensorArea.toFixed(1); document.getElementById('tableMaxISO').textContent = isoMax === '–' ? '–' : isoMax; document.getElementById('tablePixelPitch').textContent = pixelPitch === '–' ? '–' : pixelPitch.toFixed(2); document.getElementById('tableImageResolution').textContent = resolution === '–' ? '–' : resolution; document.getElementById('tableLowLightScore').textContent = lowLightScore === '–' ? '–' : lowLightScore; } function updateChart(megapixels, sensorWidth, sensorHeight, isoMax, pixelPitch) { var canvas = document.getElementById('performanceChart'); var ctx = canvas.getContext('2d'); // Clear previous chart if it exists if (chartInstance) { chartInstance.destroy(); } if (megapixels === '–' || sensorWidth === '–' || sensorHeight === '–' || isoMax === '–' || pixelPitch === '–') { // Don't draw chart if data is incomplete return; } var isoSteps = [100, 200, 400, 800, 1600, 3200, 6400, 12800, 25600, 51200, 102400, 204800]; var isoLabels = []; var lowLightScores = []; for (var i = 0; i < isoSteps.length; i++) { if (isoSteps[i] <= isoMax) { isoLabels.push(isoSteps[i]); // Calculate score for each step var score = isoSteps[i] / pixelPitch; lowLightScores.push(score); } else { // Stop if we exceed the camera's max ISO break; } } // Ensure we have at least some data points if (isoLabels.length === 0) { return; } chartInstance = new Chart(ctx, { type: 'line', data: { labels: isoLabels, datasets: [{ label: 'ISO Setting', data: isoLabels, // Use ISO values for the Y-axis to show scale borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, yAxisID: 'y-iso', // Assign to ISO y-axis pointRadius: 4, pointHoverRadius: 7 }, { label: 'Projected Low Light Score', data: lowLightScores, borderColor: 'var(–success-color)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, yAxisID: 'y-score', // Assign to Score y-axis pointRadius: 4, pointHoverRadius: 7 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'ISO Setting' }, type: 'logarithmic', // Use logarithmic scale for ISO ticks: { callback: function(value, index, values) { // Format ticks for readability on log scale if (value === 100 || value === 1000 || value === 10000 || value === 100000) return value; if (value = 1000 && value = 10000 && index % 2 !== 0) return "; return value; } } }, y: [{ // Primary Y-axis for ISO id: 'y-iso', type: 'logarithmic', position: 'left', title: { display: true, text: 'ISO Value' }, ticks: { callback: function(value, index, values) { if (value === 100 || value === 1000 || value === 10000 || value === 100000) return value; if (value = 1000 && value = 10000 && index % 2 !== 0) return "; return value; } }, grid: { display: false // Hide grid lines for ISO axis if desired } }, { // Secondary Y-axis for Score id: 'y-score', type: 'linear', // Linear scale for score position: 'right', title: { display: true, text: 'Relative Low Light Score' }, ticks: { beginAtZero: true, callback: function(value) { return value.toFixed(0); // Format score as integer } } }] }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.dataset.yAxisID === 'y-iso') { label += context.parsed.y; } else { label += context.parsed.y.toFixed(0); } return label; } } }, legend: { display: false // Legend is handled by custom div } } } }); } function resetCalculator() { document.getElementById('megapixels').value = '24.2'; document.getElementById('sensorWidth').value = '35.9'; document.getElementById('sensorHeight').value = '24.0'; document.getElementById('isoMax').value = '51200'; document.getElementById('pixelPitch').value = '5.96'; // Reset to a typical value // Clear error messages var inputs = document.querySelectorAll('.loan-calc-container input'); for (var i = 0; i < inputs.length; i++) { inputs[i].classList.remove('error-active'); if (inputs[i].nextElementSibling && inputs[i].nextElementSibling.classList.contains('error-message')) { inputs[i].nextElementSibling.style.display = 'none'; } } calculateCameraPerformance(); // Recalculate with defaults } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var resolutionWidth = document.getElementById('resolutionWidth').textContent; var resolutionHeight = document.getElementById('resolutionHeight').textContent; var sensorArea = document.getElementById('sensorArea').textContent; var lowLightScore = document.getElementById('lowLightScore').textContent; var assumptions = "Key Assumptions:\n"; assumptions += "- Megapixels: " + document.getElementById('megapixels').value + " MP\n"; assumptions += "- Sensor Width: " + document.getElementById('sensorWidth').value + " mm\n"; assumptions += "- Sensor Height: " + document.getElementById('sensorHeight').value + " mm\n"; assumptions += "- Maximum ISO: " + document.getElementById('isoMax').value + "\n"; assumptions += "- Calculated Pixel Pitch: " + document.getElementById('pixelPitch').value + " µm\n"; var textToCopy = "Camera Performance Results:\n"; textToCopy += "—————————\n"; textToCopy += "Estimated Low Light Score: " + mainResult + "\n"; textToCopy += "—————————\n"; textToCopy += "Intermediate Values:\n"; textToCopy += " Resolution: " + resolutionWidth + " x " + resolutionHeight + " pixels\n"; textToCopy += " Sensor Area: " + sensorArea + " mm²\n"; textToCopy += " Low Light Score: " + lowLightScore + "\n"; textToCopy += "—————————\n"; textToCopy += assumptions; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers }); } else { fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers } } // Fallback function for older browsers function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom of page in MS Edge. textArea.style.top = "0"; textArea.style.left = "0"; textArea.style.width = "2em"; textArea.style.height = "2em"; textArea.style.padding = "0"; textArea.style.border = "none"; textArea.style.outline = "none"; textArea.style.boxShadow = "none"; textArea.style.background = "transparent"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial calculation on page load window.onload = function() { // Load Chart.js library dynamically var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version script.onload = function() { calculateCameraPerformance(); // Calculate after Chart.js is loaded }; document.head.appendChild(script); };

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