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  • Image Tearing Causes and Solutions

    This application note explains image tearing, how to detect it, its causes, and recommended solutions.

  • Low Noise Imaging in the GS3-U3-15S5 Camera

    This application note describes the low noise imaging in the GS3-U3-15S5 camera, including: Description and use of optimized mode. Comparison of imaging metrics, including saturation capacity, temporal dark noise, and temperature, between standard and optimized imaging modes. Comparison of images between standard and optimized modes.

  • Optimized Modes for Low Light Imaging in the Grasshopper2 FireWire Camera

    This application note describes the optimized modes for low light imaging available in Grasshopper2 FireWire cameras, including: 1. Description and use of optimized modes. 2. Comparison of imaging metrics, including full well depth, read noise, dark noise, dark current and temperature, between standard and optimized imaging modes. 3. Comparison of images between standard and optimized modes.

  • Overview of the Ladybug Image Stitching Process

    The purpose of this Technical Application Note is to: Explain how the Ladybug API creates a single panoramic image from six separate raw images that are output from a Ladybug camera. Explain why stitching is an imperfect process and how to work with stitching errors.

  • Saving Custom Settings on FLIR Machine Vision Cameras

    This application note describes how to save custom image settings onto a FLIR machine vision camera. Using FLIR machine vision software (whether through a GUI or through working directly with our API), it’s possible to change a variety of settings, such as frame rate, region of interest, pixel format, or gain. The complete list of settings that are stored are found in your camera's Technical Reference manual, available from the downloads page. By default, once a camera has been power-cycled (disconnected from its power source and reconnected), the camera starts up with its factory default settings. Using the FlyCapture®2 SDK, or the Spinnaker® SDK, it’s possible to save custom settings to the camera so that even after a power-cycle occurs, the camera starts up with the settings that were saved. Each camera is capable of saving up to two custom profiles.

  • Saving Images at High Bandwidth

    This Technical Application Note provides an analysis of the challenge of saving images at high bandwidth and offers methods to solve the issues. The FlyCapture2 SDK includes a GUI application (FlyCap2) for capturing and saving images as well as an API for writing applications. Using one of FLIR’s fastest Grasshopper3 USB 3.1 cameras, we demonstrate how to stream and save images to disk at a speed of 373 MB/s.

  • Image Corrections in SWIR

    The ability of InGaAs sensors to detect light in the Short Wave InfraRed (SWIR) wavelength range of 900-1700 nm offers some incredible opportunities for scientific imaging that silicon sensors cannot reach. However, compared to silicon sensors, InGaAs sensors are by nature more prone to high levels of sensor patterning and pixel defects. These defects occur on every single InGaAs sensor.

  • Introduction to Scientific InGaAs FPA Cameras

    Working in the near infrared (NIR) and shortwave infrared (SWIR) regions of the spectrum offers researchers several advantages, such as the abilities to circumvent unwanted fluorescence backgrounds and to probe more deeply into sample surfaces.

  • VISION Focus article – Standard CMOS sensors applied to 3D vision, detection, and measurement

    3D imaging technology has been around for several decades, but the first products were only commercialized in the 2000s when major film studios released movies in 3D using the latest HD video cameras.

  • Tech Briefs article – Time-of-Flight: Highly Reliable 3D Imaging for Challenging Applications

    Time-of-flight (ToF) technology enables new applications in multiple markets, resulting in a market boom for time-of-flight CMOS sensors over the last few years. This is mainly driven by the consumer and automotive markets, but also by prosumers — amateurs who purchase equipment with quality or features suitable for professional use.

  • Night-sight: Competing technologies for the vision systems in autonomous vehicles

    At night, the average vehicle high beams can illuminate about 400 feet, far less in inclement weather. And, if you’re traveling at a conservative 55 mph—80 feet per second—that means it will take you about 170 feet to stop once you apply your brakes. But, the average driver will travel 120 feet before the brakes are applied.

  • Behind bars – a technological overview of the most pervasive of coding systems

    Even with the holidays behind us (the seasonal peak in consumer retail/on-line spending, logistics and transport, manufacturing, and distribution), there are still more than 5 billion barcodes are scanned every day. Considering that the first barcode was scanned in the 70s on a packet of chewing gum, it’s clearly a formidable method of providing machine-readable UPC (Universal Product Code) that has evolved relatively little since.