In machine vision, backlighting is one of the most effective ways to achieve high-contrast images for measurement and inspection. But what happens when there’s no room to place a light behind your part?
Sustainability is becoming a key focus across manufacturing, and machine vision systems are no exception. While cameras and software often get the most attention, lighting plays a major role in both system performance and energy consumption. By optimizing illumination, manufacturers can significantly reduce energy waste while maintaining – or even improving – inspection accuracy.
Selecting the right lens is one of the most critical decisions in building a successful machine vision system. While cameras and lighting often get the spotlight, the lens ultimately determines how well your system captures detail, maintains accuracy and performs over time.
In bottling and beverage manufacturing, speed and precision are everything. Production lines move fast, margins are tight and even minor defects can lead to costly waste, recalls or brand damage. High-speed machine vision cameras play a critical role in maintaining quality, ensuring every bottle meets strict standards before it reaches the consumer.
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The machine vision market continues to expand worldwide with increasing automation, advancements in AI, growing demand for quality control and rising implementation across multiple industries.
In machine vision, optical filters aren’t just add-ons, they’re essential tools for image accuracy. By carefully controlling which wavelengths pass through (and which don't), filters help maximize contrast, enhance color accuracy, highlight critical details and block ambient light that can compromise results.
In industrial imaging, choosing the right camera for a machine vision system can significantly impact performance and accuracy. One of the most fundamental decisions is whether to use a monochrome or color camera.
Optical filters are essential for achieving reliable, high-quality results in machine vision applications. They don’t just block or pass light – they enhance system performance by increasing contrast, improving color accuracy, reducing glare and isolating specific wavelengths. But not all filters are created equal.
When it comes to building a successful machine vision system, lighting is just as critical as the camera or lens. Without the right lighting, even the most advanced imaging components can produce inconsistent or unreadable results. Whether you're inspecting tiny electronics, scanning barcodes on packaging lines or ensuring quality control in manufacturing, the right lighting solution makes all the difference.
When designing a machine vision system, choosing the right lens is just as critical as selecting the right camera. A common misconception is that a photography lens can do the job. But while both lens types are engineered to capture images, machine vision lenses and photography lenses are built for very different purposes – and understanding those differences can save you from performance issues down the line.
Triple Bandpass Filters are tools that allow users to go above and beyond traditional Normalized Difference Vegetation Index (NDVI) indicators to reinvent the way crop health is monitored and to collect more information than ever before.