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  • Teledyne FLIR Machine Vision Cameras Capture High-Definition Footage of NASA’s Perseverance Rover Landing on Mars

    On February 18th, NASA successfully landed the Perseverance Rover on Mars. This isn’t the first Mars mission, but it was the first time that the entry, descent, and landing of a spacecraft was filmed and broadcasted live for the public to watch and virtually participate in. 6 FLIR cameras captured the event from multiple angles, documenting all stages of the thrilling touchdown. While only a few minutes long, the footage has already helped engineers evaluate how well their work performed in space, and inspired millions of viewers around the world. 

  • Teledyne FLIR Machine Vision Cameras – Customization Options and Special Requests

    Teledyne FLIR Machine Vision offers a wide variety of reliable industrial grade cameras with over 150 camera models to choose from. Our portfolio spans from small to large resolution sensors, standard to high speed framerates, multiple form factors (including board level versions), and come with built-in support for some of the most popular machine vision interfaces and standards. Our design, engineering and manufacturing teams understand these diverse requirements and develop vision components suited for a wide variety of applications with COTS (Commercially-Off-The-Shelf) hardware ready for integration.

  • How Teledyne FLIR and Neurala Collaborate to Make Deep Learning Implementation Faster, Easier and more Cost Effective

    Deep Learning is a powerful tool for machine vision engineers and OEM system designers looking to quickly automate complex and subjective decision making. However, this technology can be prohibitive for non-experts due to the need for multiple software tools, large datasets, specialized skills of developers, and their associated costs. To overcome these challenges, FLIR Systems, Inc. has collaborated with Neurala to provide an end-to-end development and deployment solution specifically for non-experts. Our cost-effective solution also requires much smaller datasets.

  • 5 Steps for Building and Deploying Deep Learning Neural Networks

    Deep learning is a subset of machine learning inspired by how the human brain works. Key topics covered in the article include basic glossary, machine vision tasks suitable for DL, 5 steps to develop machine learning for inference on the edge, available tools and frameworks to get started, tips on making the process easier and finally, potential shortcomings of deep learning to consider.

  • Imaging Reflective Surfaces: Sony’s first Polarized Sensor

    Many vision systems struggle to overcome the effects of reflections and glare on reflective surfaces like glass, plastic and metal. Sony’s newest sensor technology can solve this problem with its pixel-level polarizer structure. This technology enables Sony polarized sensors to detect both the amount and angle of polarized light across a scene.

  • Sensor Periodic Table

    Here's a handy guide that organizes sensors based on their resolution, readout method, and FPS. With so many sensors from so many manufacturers, its hard to keep which sensor is which! This handy chart organizes over 120 sensors from classic CCDs to the latest CMOS technology by resolution and speed.We suggest: downloading and laminating it, then pinning it up on your wall for easy reference.

  • Camera Field Of View

    The area across which your camera can image is known as the field of view or FOV, the larger the FOV the more of your sample you can see. Having a large FOV allows you to take more efficient images containing more data, and take fewer images in order to capture the entire sample.

  • Improving Productivity in the Food & Beverage Industry with Area Scan Cameras

    Teledyne’s imaging product portfolio ranges from image sensors and line/area/smart cameras to 3D laser profilers.

  • Teledyne FLIR Guide to Embedded Vision Systems

    Increase Throughput and Reduce Costs using Board Level Cameras in Embedded Vision Systems: Join us in this webinar as we explore the basics of embedded systems, our association to embedded vision and more.

  • Teledyne FLIR Return Material Authorization

    This article describes how to obtain a Return Material Authorization (RMA) number in order to return a product to Teledyne FLIR.

  • Teledyne Laser Triangulation

    Compared with other 3D techniques, laser triangulation is the most suitable for applications that need very high accuracy (down to a micrometer) and very high speed. The camera can be in movement (e.g. when the camera is held by a robot or by a person), or fixed and the object be in movement (e.g. when inspecting pieces that are on a conveyor belt).

  • Vision Automates Jar Inspection

    AarhusKarlshamn turned to Adbro Controls to develop an automated vision-based system specifically for the purpose of inspecting its jars of foodstuffs