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  • AWM Frictionless™ - Autonomous Store Checkout Made Possible with Machine Vision Cameras

    Using Teledyne FLIR Blackfly S GigE Machine Vision Cameras, AWM Frictionless™ allows customers to pick up items and be automatically charged as soon as they leave the store, without needing to queue up, scan, or physically pay for their items.

  • What Is the Best Machine Vision Camera for My Biomedical Application?

    Research and diagnostic biomedical applications typically require imagers with high spatial resolution, accurate color reproduction, greater sensitivity in low light conditions, and in many cases some combination of all three factors to improve reliability of data. Having the appropriate camera is critical to providing a proper diagnosis in a clinical application or reliable data for research purposes. So how do you know what machine vision camera is best for your application? In the following sections, we cover several aspects to consider when choosing a machine vision camera for your biomedical and life science applications. 

  • Can New Advances in CMOS Replace sCMOS Sensors in Biomedical Applications?

    Complementary metal-oxide-semiconductor (CMOS) technology now offers the advanced imaging capabilities required for many biomedical applications, but can it replace the more expensive sCMOS (scientific CMOS) sensors? CMOS and sCMOS sensors have set the benchmark for both performance and value in machine vision in several industries, and this article will explain the benefits and costs of each technology for highly demanding imaging applications in biomedical and life sciences.

  • Deep Learning Solutions Enable Facemask and PPE Detection

    Using a Firefly DL camera, Teledyne FLIR engineers developed a system for detecting compliance and flagging users who may be flouting mandated PPE (Personal Protection Equipment) guidelines. The facemask detection dataset used 2 publicly available libraries: one with 853 images of people wearing facemasks, and an additional 269 images to provide examples of people with, without, and incorrectly wearing facemasks in different environments.

  • Enhanced Dust Control Service for Machine Vision Cameras

    Teledyne FLIR cleans and assembles all machine vision camera optical assemblies at our Canadian manufacturing plant in an ISO certified clean environment (ISO7 - Class 10000). This standard level of dust control is usually sufficient for microscopy applications— “dust” in this case defined as any foreign particulate matter. However, some applications require an even higher standard. In such cases, Teledyne FLIR offers Enhanced Dust Control Service on all its machine vision cameras except Blackfly S Board Level (USB3/GigE) and all Firefly models.

  • 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.

  • Lossless Compression: Maximizing Framerates and Surpassing GigE Bandwidth Limitations

    Lossless Compression is a feature available on select Teledyne FLIR GigE machine vision cameras to delivers up to 170% increased frame rates, minimizes disk space usage, and thus enable increased number of cameras on a single bus all while preserving 100% of the image data.

  • 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.