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  • Advancing Stereo Depth Perception in Industrial Automation

    Depth perception is essential for a wide range of warehouse robotic applications such as autonomous navigation, pick & place, inventory management, and more.

  • Teledyne Partners with Baader Planetarium for Space Surveillance

    ​​​​​​​​​We are excited to announce that Teledyne Princeton Instruments COSMOS cameras have been selected for a prestigious space surveillance project with the German army (Bundeswehr). Baader Planetarium, a subcontractor on the project will integrate both the COSMOS-8k and COSMOS-6k on the PW1000 and RC1000 telescopes from PlaneWave Instruments.

  • Description and overview of our technical support process

    The Teledyne FLIR Machine Vision Technical Support team is available to provide existing customers with assistance regarding the installation, troubleshooting, configuration, and customization of our cameras.

  • What happens when you connect 40+ GigE cameras to a single system?

    We recently ran a camera system with more than 40 GigE cameras connected via switches to a single PC.

  • USB 3.1: Improvements over USB 2.0

    USB 3.1 has improved on the bulk data transfer mechanism of USB. Under ideal conditions, bulk transfer allows greater throughput compared to isochronous transfers. Real world measurement shows that the effective bandwidth available via the bulk transfer method is around 400 MByte/s; approximately 10 times that of USB 2.0. This important transfer mechanism has enabled machine vision camera vendor to build high throughput USB 3.1 cameras. This has created significant cost saving opportunities for integrators as well as improving the overall system speed and efficiency. Users can now use fewer cameras while still covering the same imaging area with large resolution USB 3.1 cameras. The higher bandwidth also allows for faster frame rate, increasing the performance of the system. For example, a system using four 0.3 MP, 30 fps USB 2.0 cameras can now be replaced by a single USB 3.1 camera running at 1080p and 30 fps for the same price while offering even more resolution.

  • Imaging for Mobile Mapping

    This paper highlights the importance of high-resolution imaging and critical factors that make it imperative for mobile mapping.

  • How to Overcome Challenges in Real-Time Stereo Vision with Smart Software and Hardware Solutions

    From bin picking to autonomous navigation, stereo vision enables a wide range of robotic applications.

  • Why Synchronization Makes or Breaks Mobile Mapping

    Even the best sensors won’t deliver usable data if they’re out of sync.

  • Bumblebee X Powers Taiga Robotics’ Mining Automation with AI-Driven Vision

    When automating robotics for mining, there are no second chances. Harsh weather, rough terrain, and heavy machinery create an environment where conventional technologies fail to perform.

  • Enhancing Stereo Depth Estimation with Deep Learning Techniques

    Recent advances in deep learning (DL) offer promising solutions to enhance disparity, accuracy, and completeness. This document explores these methods through real-world tests and focusses on their strengths, tradeoffs, and suitability for embedded systems.

  • Webinar: Unveil the Invisible with SWIR

    The webinar will cover an overview of the SWIR camera and its essential features for key machine vision applications

  • Critical Factors for Imaging in Mobile Mapping

    This webinar addresses key factors for the success of imaging and mobile mapping systems.