Automation Vision in Automatic Test Equipment


Boost ATE Performance with FPGA-Accelerated Automation Vision

Automation Vision enables modern Automatic Test Equipment (ATE) to test electronic systems and components with high precision. As a result, manufacturers, R&D teams, and maintenance organizations validate devices faster and more consistently.

ATE systems perform functional tests, parametric measurements, visual inspection, and reliability tests as part of automated production and validation workflows.

Why Automation Vision Matters in ATE

Automation Vision improves how ATE systems acquire, analyze, and validate data. Therefore, vision-driven inspection increases accuracy while reducing manual intervention and test variability across complex, high-volume production environments.

Operational Demands on Automation Vision Systems

To meet production demands, high-performance ATE systems must satisfy strict operational requirements. Consequently, Automation Vision workloads require deterministic behavior and sustained throughput under continuous operation and tight timing constraints.

Key Performance Criteria for ATE Vision

Real-Time Compression for Automation Vision Pipelines

In Automation Vision–based ATE systems, image and data streams can quickly become a throughput bottleneck. To address this, Gidel integrates real-time FPGA-based compression directly into the acquisition pipeline.

Gidel’s Compression IPs reduce data bandwidth during capture while preserving test-relevant image fidelity:

As a result, ATE systems can sustain higher frame rates, support more cameras in parallel, and stream or store data efficiently without introducing latency or non-deterministic behavior.

Because compression runs in hardware on the FPGA, it offloads the CPU and ensures predictable timing. This capability is especially critical in high-volume production testing, long-duration reliability testing, and multi-camera inspection setups where deterministic throughput is mandatory.

Boost Your ATE Performance with Automation Vision

For this reason, ATE developers rely on Gidel’s expertise in FPGA acceleration to increase system throughput and shorten testing cycles.

Gidel’s ready-to-use platforms reduce development effort and accelerate time to market, integrating efficiently into Automation Vision architectures:

Customization Tools for ATE Vision Pipelines

Furthermore, Gidel’s Software Development Tools and customization services allow developers to tailor imaging and vision pipelines to specific ATE requirements. Consequently, systems achieve deterministic performance, long-term reliability, and scalable test architectures.

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    Products and Solutions for Automatic Test Equipment (ATE)

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    Resources

    Enabling Exceptional Image Processing Performance based on FPGAs - Vision Show, Stuttgart 2024

    Reuven Weintraub, founder and CTO of Gidel, reveals how to unlock exceptional image processing performance by adding FPGA’s processing at Vision Show, Stuttgart 2024.

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    How to boost your system performance - Vision Show 2024 Stuttgart

    Reuven Weintraub – Gidel Founder and CTO describes how to boost performance in Machine Vision and Imaging systems. This talk has been given at the Vision Show 2024 Stuttgart, during the Vision Days Forum.

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    FantoVision Demo at the Embedded World 2024 show

    Image processing acceleration on NVIDIA Jetson embedded computer at the Embedded World 2024 show.

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    Gidel Imaging & Vision offerings at the Embedded World show 2024

    Gidel edge computers and frame grabbers at the Embedded World show 2024.

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    FantoVision: video clip - 2023

    A short video introduction to FantoVision edge computers – 2023.

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    Gidel frame grabbers for high-bandwidth image acquisition

    Boost your vision! Gidel’s high-performance GigE Vision, Camera Link and CoaXPress frame grabbers help overcome bandwidth bottlenecks in high-resolution and/or high-speed computer vision applications.

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    Gidel's FPGA Giga+ Pixel per second with Low Power - VSC 2023

    Gidel presented its FPGA-based architecture capable of processing Giga+ Pixels per second while maintaining exceptionally low power consumption.
    The session demonstrated how Gidel’s scalable FPGA solutions deliver real-time imaging performance, energy efficiency, and deterministic throughput for advanced vision and imaging systems.

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    InVision TechTalk webinar held on September 2023

    Reuven Weintraub, Founder and CTO of Gidel, presented Gidel’s solutions to perform high-bandwidth imaging on the edge at InVision TechTalk webinar held on September 2023.

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    FantoVision at Embedded World 2022

    Gidel founder and CTO Reuven Weintraub present the new with FantoVision edge computers for 10GigE Vision, Camera Link and CoaXPress interface for embedded vision on the edge at the Embedded World Show 2022 in Nuremberg, Germany.

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    Gidel FPGA modules at Embedded World 2022

    Gidel founder and CTO Reuven Weintraub explain the benefits of Gidel’s Altera-based high-performance FPGA modules for fast and easy development.

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    Gidel Frame grabbers introduction - Embedded World 2022

    Gidel founder and CTO Reuven Weintraub present the performance and versatility of Gidel’s GigE Vision, Camera Link and CoaXPress frame grabbers for high-speed image acquisition and pre-processing at the Embedded World 2022 in Nuremberg, Germany.

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    Gidel’s Real Time Processing Over Gigapixels — InVision Days 2022

    Presented by Reuven Weintraub, this talk highlighted Gidel’s expertise in real-time processing over Gigapixel/s image streams, demonstrating how FPGA-based architectures enable deterministic latency, scalable throughput, and efficient handling of ultra–high-resolution vision data.

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    Overcoming bandwidth limitations of vision on the edge with heterogeneous Embedded Computer Vision systems - Vision Show 2021

    Ron Muller presenting Gidel’s first heterogeneous Edge Computer Vision combining FPGA and NVIDIA Jetson at Industrial Vision Days conference at VISION 2021 show in Stuttgart, Germany.

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    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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