Sorting Machines


Sorting Machines

Gidel’s Vision technology offers a powerful and flexible infrastructure for developing the world’s most challenging cutting edge sorting machine applications. The FPGA based technology has been designed particularly to overcome the key applications’ bottlenecks, including ultra-low latency multi-camera acquisition & synchronization, high-bandwidth data processing, real-time image processing, and more.

The Gidel imaging ecosystem comprises modular blocks that can be connected to tailor most demanding application needs. The building blocks include camera interface and protocol, modular customizable acquisition architecture, inline real-time image processing blocks, Jetson-FPGA compact vision computers.

Gidel’s systems support GigE Vision, CoaXPress, Camera Link and user defined cameras.

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    Products and Solutions for Sorting Machines

    At Gidel, we specialize in modular, customizable technology to suit your exact requirements.

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    Sorting Machines - Resources

    Gidel Mail Sorting Application Example

    Gidel’s Leadership in FPGA-Based Vision and Imaging Systems for Mail Sorting

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    Video: Exceptional image processing performance based on FPGAs

    Reuven Weintraub, founder and CTO of Gidel, reveals how to unlock exceptional image processing performance by adding FPGA’s processing.

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    Video: How to boost your system performance

    Gidel CTO explains how to boost your system performance and overcome key bottlenecks in Vision and Imaging Systems

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    TechTalk Embedded Vision webinar: Overcoming bandwidth limitations when imaging on the edge
    Webinar: Overcoming bandwidth limitations when imaging on the edge

    Reuven Weintraub, founder and CTO of Gidel, presented Gidel’s solutions to perform high-bandwidth imaging on the edge using Gidel’s frame grabber technology, FantoVision edge computers and Quality+ lossless image compression.

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    White paper: Image processing at Gigapixels per second
    White Paper: Image Processing at Gigapixels per Second.

    Advanced vision systems rely on one or multiple high-resolution, high-speed cameras. These capture and deliver multiple gigapixels per second that need to be processed and/or compressed in real-time. While camera sensor technology and supporting interfaces are quicky evolving, traditional PCIe/CPU/GPU-based PC-architectures are lacking the required performance to capture, process, and store images at such data rates.

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