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  • 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.

  • Teledyne Machine Vision Cameras are Headed to Mars!

    For the first-ever filming of a spacecraft landing, the engineers included 6 Teledyne cameras.

  • 3D Imaging, Lasers, and Fish Lice

    Mestec’s software identifies the location of lice on fish exterior, then fires a laser from the unit which removes the lice from the fish.

  • Capturing Consistent Color

    Whether you're sorting fruits and vegetables or inspecting sneakers, capturing accurate color and rich details at high speed with guaranteed reliability calls for certain characteristics in a camera.

  • Teledyne FLIR Neuro Technology: Automate Complex Decisions Faster with Deep Learning

    Normally, deep learning systems require separate cameras and computer systems. Often the images captured for analysis must be sent to a host or cloud system where the neural network provides an inference driven decision. This is often not ideal, relying on remote or cloud-based processing increases latency and introduces reliability and security risks. Teledyne FLIR Neuro Technology eliminates these risks and simplifies system infrastructure by allowing you to deploy your trained neural network directly to the camera.

  • High-Resolution Imaging

    As PCBs and flat panel displays increase in density, the right camera is needed to design precise, cost-effective and high-throughput inspection systems.

  • Keeping an Eye on Traffic

    The Automatic Number Plate Recognition (ANPR) is highly versatile system that can be rapidly tailored to identify license plates in any country.

  • Sony Pregius® Global Shutter CMOS

    Sony's Pregius global shutter CMOS technology truly fulfills its promise: crisp, clear, distortion-free images at high speeds.

  • 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.