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UAV / Drone Computer Vision Systems

High-Performance Drone Computer Vision

Drone Computer for Imaging & Vision Applications

A drone computer must process data instantly. UAV missions demand low latency and high reliability. Therefore, Gidel FantoVision edge computers are built for real-time imaging at the edge. They combine a compact form factor, rugged construction, and FPGA-accelerated processing. As a result, UAVs can make fast decisions in the air.

High-Bandwidth Multi-Camera Support

Our Low SWaP systems are 13.4 × 9 × 6 cm and 750 g. They fit easily into multirotor, fixed wing, and VTOL platforms. They also support 10GigE Vision, CoaXPress, and Camera Link. This enables synchronized multi-camera capture up to 40 Gb/s throughput. Therefore, they are ideal for:

  • High-resolution imaging workflows
  • Aerial inspection and surveying
  • Real-time mapping and 3D reconstruction
  • Situational awareness, defense, and ISR
  • Search and rescue and environmental monitoring

FPGA + AI Hybrid Edge Processing in Drone Computers

FPGA pipelines handle deterministic real-time data flow while the NVIDIA Jetson performs onboard AI inference. This heterogeneous approach is designed to overcome common UAV vision bottlenecks such as excessive CPU load, unpredictable latency, bandwidth saturation between processing stages, and limited scalability as camera count or resolution increases. Up to 2 TB internal storage supports long autonomous missions and extended data capture when required.

Flexible Drone Computer Architecture and Real-Time Image Enhancement

All image signal processing runs inline on the FPGA to preserve deterministic, low-latency behavior. This includes debayering, non-uniformity correction (NUC), bad pixel correction (BPC), white balance, gamma correction, and dynamic luminance balancing. Gidel’s real-time HDR processing enhances visibility and contrast under challenging lighting conditions.

To optimize bandwidth and storage, the FPGA also supports real-time data reduction using JPEG, Lossless, and Quality+ compression, along with region-of-interest extraction and scaling. These capabilities reduce data movement and prevent downstream processing bottlenecks without compromising image quality.

Development and customization are supported through Gidel’s Software Development Tools, which enable developers to design, integrate, and optimize FPGA-based imaging and vision pipelines while maintaining full control over latency, determinism, and system behavior.

Gidel provides a scalable, low-latency drone computer for edge imaging. We also offer Mini Powerful FPGA modules for even tighter SWaP constraints or advanced customization. This gives UAV integrators full flexibility while ensuring mission success and real-time decision-making.

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    UAV / Drone based solutions

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

    Let us help you find the ideal solution – Contact US.

    Gidel FantoVision20 Edge AI: Jetson Orin dual interface frame Grabber system with Dual 10 GigE Vision and Camera Link FPGA Frame Grabber displayed against a digital network connectivity background with Hand

    FantoVision20 Edge AI with FPGA Frame Grabbers

     FantoVision20 Mini NVIDIA Jetson Frame Grabber Systems: Overview & Comparison

    Features & Bandwidth
    Product Name FantoVision20-GigE FantoVision20-CL FantoVision20
    Product Image FantoVision20-GigE: NVIDIA Jetson + Dual 10GigE Vision FPGA frame grabber- Edge AI Vision displayed against a digital network connectivity background Gidel FantoVision20-CL: NVIDIA Jetson + Camera Link FPGA frame grabber- Edge AI Vision displayed against a digital network connectivity background Gidel FantoVision20: NVIDIA Jetson + Dual 10GigE Vision and Camera Link FPGA frame grabbers- Edge AI Vision displayed against a digital network connectivity background
    Jetson Model
    • Orin NX 16GB
    • Xavier NX 8GB | 16GB
    • Orin NX 16GB
    • Xavier NX 8GB | 16GB
    • Orin NX 16GB
    • Xavier NX 8GB | 16GB
    Camera Input
    • 2× 10GigE cameras
    • 4× 5GigE cameras
    • 8× 2.5GigE cameras
    • 15× 1GigE cameras
    • Camera Link Deca / Full / Medium / Base
    • Dual Base
    • Optional: PoCL
    • 2× 10GigE cameras
    • 4× 5GigE cameras
    • 8× 2.5GigE cameras
    • 15× 1GigE cameras
    • Camera Link Deca / Full / Medium / Base
    • Dual Base
    • Optional: PoCL
    Camera Input Connectors 2× SFP+ | 2× RJ45 (Fiber optic / Copper) 2× SDR26 (mini-Camera Link)
    • 2× SFP+ | 2× RJ45 (Fiber optic / Copper)
    • 2× SDR26 (mini-Camera Link)
    Aggregate Bandwidth Up to 20 Gb/s Up to 6.8 Gb/s Up to 26.8 Gb/s
    Real-Time ROI Offload
    Real-Time Encoders (Optional)
    Real-Time HDR Correction
    Dimensions (L/W/H) 134 × 90 × 60 mm 134 × 90 × 60 mm 134 × 90 × 60 mm
    Weight 750 g 750 g 750 g
    Cooling Options Active | Passive Active | Passive Active | Passive
    Storage Up to 8TB Up to 8TB Up to 8TB

    FPGA-Based Camera Acquisition and Processing for Jetson Edge AI

    In each FantoVision20 system, the built-in
    Altera FPGA frame grabber manages high-speed camera acquisition and can perform inline real-time processing, including CompressionHDR, and image enhancements, before data reaches NVIDIA Jetson. This reduces processing overhead on Jetson and preserves resources for CUDA-based imaging and AI.

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    Gidel Real-Time FPGA Image Compression IPs

    Image Compression IPs

    Compression IPs: Overview

    • JPEG Encoder IP – Real-time JPEG compression on FPGA with ultra-low latency, adjustable compression, and efficient silicon use.

    • Lossless Compression IP – Preserves full image data with zero quality loss, perfect for precision-critical applications.

    • Quality+ compression IP – Patented, training-based algorithm achieving up to 10:1 compression while preserving and enhancing image SNR, ideal for demanding Imaging & Vision applications.

    Gidel’s compression solutions reduce bandwidth, minimize storage, and enhance overall system performance—all in real time.

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    Gidel ultra-compact FPGA modules with Arria 10 and Stratix 10N displayed against a digital network connectivity background

    Mini FPGA Modules

    Mini FPGA Modules: Overview & Comparison

    Resources Overview
    Resources FDB16 FDB27 FDB66 Proc10N Proc10M
    FPGA Arria 10 160 GX Arria 10 270 GX Arria 10 660 GX Stratix 10 NX 2100 Stratix 10 MX 2100
    DRAM Throughput 12.8 GB/s 12.8 GB/s or 24 GB/s 16.8 GB/s 300 GB/s 300 GB/s
    On-board DDR4 2 or 4 GB 2 or 10 GB 9 GB Up to 128 GB on carrier board Up to 128 GB on carrier board
    On-FPGA DRAM - - - 8 GB HBM2 8 GB HBM2
    Transceivers 12 (2 Rx only) 12 or 16 (2 Rx only) 12 or 16 (2 Rx only) 72 72
    Transceivers Speed Up to 14.2 Gb/s Up to 14.2 Gb/s Up to 14.2 Gb/s Up to 26 Gb/s Up to 26 Gb/s
    I/Os 12×3.0V, 4×1.2V, 36×1.8V 12 or 42×3.0V, 4×1.2V, 36 or 52×1.8V 12 or 42×3.0V, 4×1.2V, 36 or 52×1.8V Up to 374 I/Os: 26×3.3V, 96×LVDS, 72-bit DDR4 Up to 374 I/Os: 26×3.3V, 96×LVDS, 72-bit DDR4
    Dimensions 49 mm × 54 mm 58 mm × 58 mm 58 mm × 58 mm 97.4 mm × 101 mm 97.4 mm × 101 mm
    Weight 30g 35g 35g 385g 385g
    LEs 160K 270K 660K 2,073K 2,073K
    FPGA SRAM - - - 94.5 Mb @ 90 GB/s 94.5 Mb @ 90 GB/s
    M20K 440 750 2133 6800 6800
    18×19 MAC 312 1660 3374 - 7,920
    INT8/FP16 Tensor MAC - - - 118,800 -

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    Gidel GIL - FPGA Vision and Imaging libraries (IPs)

    GIL - Gidel Imaging Libraries (IPs)

    CPU Offload with FPGA Imaging Libraries

    Gidel’s FPGA libraries (IPs) offer off-the-shelf, ready-to-integrate solutions that have empowered customers for decades. These IPs help accelerate system performance, implement custom algorithms, and meet compute-intensive requirements. Thanks to Gidel’s innovative development tools, integrating these IPs is fast and seamless—dramatically reducing development time and complexity. One of the most significant advantages is CPU Offloading using FPGA, which enhances system efficiency by moving heavy computation from the CPU to the FPGA. As a result, users benefit from higher processing speeds, lower latency, and reduced power consumption. Moreover, Gidel’s systems support FPGA virtualization, a unique capability enabled by Gidel’s architecture. This allows multiple applications to access and run on the FPGA concurrently, increasing resource utilization and design flexibility. Ultimately, Gidel’s IP libraries help developers build high-performance, reliable
    imaging and vision systems with minimal effort—unlocking the full potential of CPU Offloading using FPGA to overcome today’s most demanding technical challenges.

    GIL (Gidel Imaging Libraries)

    The GIL is High-Performance, Low Latency, Resource optimized FPGA library (set of FPGA IPs) includes:
    • System: Multiport, MultiFIFO, MegaDelay, Total History, etc.
    • Camera Interfaces: 1-120 GigE, CXP-12, Camera Link, User Interface.
    • Image Acquisition: ProcFG, InfiniVision, Custom multiple I/Fs.
    • Image Processing System: Rate control, line delay, etc.
    • Imaging/Vision Acquisition: demosaic, Color ORV, Binning, open/close morphology, histogram, etc.
    • Debug/Testing/Validation: CertifEye, TotalHistory.
    • Compression: JPEG, lossless, Quality+, integration of 3rd party.
    • GenICam: Camera control and streaming.

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    Gidel FPGA development tools

    Development Tools for Imaging & Vision Applications

    Gidel provides a comprehensive development tool suite for customizing its PCIe Frame Grabbers, Mini Jetson Frame Grabber Systems and Mini FPGA Modules, enabling customers to build tailored, high-performance Imaging & Vision systems.

    For advanced development, ProcWizard and Gidel templates enable real-time on-FPGA processing and system architecture customization, including software, I/O interfaces, and HDL design code. The suite can automatically generate the board’s Application Support Package (ASP), including software drivers, the HDL top-level envelope, interface bridges, and Gidel proprietary IPs such as Compression and HDR.

    Gidel’s MultiPort memory controller can also be seamlessly integrated, enabling simultaneous multi-application access to the frame grabber and supporting flexible, scalable Imaging & Vision development.

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    Gidel Custom image grabbing and processing

    Modular Imaging Solutions

    Flexible Paths for Vision & Imaging Solutions

    1. Off-the-shelf systems (no FPGA changes needed).
      Ready to deploy for immediate results. Examples:
      Mini Jetson Frame Grabbers, PCIe Frame Grabbers, Mini FPGA Modules and Camera Simulators.

    2. Open FPGA for customer development.
      Use our platforms as a base to modify data flow and implement custom algorithms on the FPGA. The ProcVision Suite streamlines development and optimizes system performance.

    3. Tailored FPGA flows.
      Built on Gidel’s proven infrastructure and R&D expertise—algorithm research, customization, and optimized FPGA utilization for best-in-class acquisition and subsystem acceleration, aligned to your specs.

    As a result, your Imaging & Vision Solutions reach market faster and deliver higher performance.

    We want to hear more about your requirements!

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    Gidel HawkEye GigE Vision, CoaXPress and Camera Link PCIe Frame Grabbers family displayed against a digital network connectivity background

    Frame Grabbers & Image Processing

    High-Performance PCIe GigE Vision Frame Grabbers: Overview

    Throughput
    Product Name HawkEye-20GigE Proc10A-40GigE Proc1C10M-120GigE Proc1C10N-120GigE
    Product Image Gidel HawkEye-20GigE: Dual 10 GigE Vision frame grabber displayed against a digital network connectivity background Gidel Proc10A-40GigE: Quad 10 GigE Vision frame grabber displayed against a digital network connectivity background Gidel Proc1C10M: 12 x 10 GigE Vision frame grabber displayed against a digital network connectivity background GidelProc1C10N: 12 x 10 GigE Vision frame grabber with AI option and tensor blocks displayed against a digital network connectivity background
    Camera Interface Input
    • 2× 10GigE cameras
    • 4× 5GigE cameras
    • 8× 2.5GigE cameras
    • 20× 1GigE cameras
    • 4× 10GigE cameras
    • 8× 5GigE cameras
    • 16× 2.5GigE cameras
    • 30× 1GigE cameras
    • Up to 12× 10GigE cameras
    • 4× 100GigE cameras Option
    • Up to 12× 10GigE cameras
    • 4× 100GigE cameras Option

    High-Performance PCIe CoaXPress Frame Grabbers: Overview

    Throughput
    Product Name HawkEye-CXP12 Proc10A-CXP Proc1C10N-CXP12
    Product Image Gidel HawkEye-CXP12: Quad CXP12 links frame grabber displayed against a digital network connectivity background Gidel Proc10A-CXP6: Octo CXP6 links frame grabber displayed against a digital network connectivity background Gidel Proc1C10N-CXP12: Octo CXP12 links frame grabber displayed against a digital network connectivity background
    Camera Interface Input
    • 1 / 2 / 4× CXP-12 links (PoCXP)
    • 4 / 8× CXP-6 links (PoCXP)
    • Up to 8× CXP-12 links (PoCXP)

    High-Performance PCIe Camera Link Frame Grabber: Overview

    Throughput
    Product Name HawkEye-CL
    Product Image Gidel HawkEye-CL: Camera Link frame grabber displayed against a digital network connectivity background
    Camera Interface Input
    • 1× 80-bit (Deca), Full, Medium, or Base
    • Dual Base
    • PoCL option

    FPGA-Based Acquisition and Inline Processing

    Gidel PCIe frame grabbers manage high-bandwidth camera acquisition directly on the Altera FPGA, enabling deterministic, low-latency data capture while reducing CPU overhead. Optional inline FPGA processing supports real-time image enhancement, CompressionHDR, and data optimization before host-side processing.

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    Gidel FPGA Compute Acceleration Boards displayed against a digital network connectivity background

    Resources

    Join Reuven Weintraub, founder and CTO of Gidel, as he reveals how to unlock exceptional image processing performance by adding FPGA’s processing to NVIDIA Jetson edge AI systems.

    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.

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

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

    A short video introduction to FantoVision edge computers – 2023.

    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.

    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.

    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.

    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.

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

    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.

    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.

    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.

    Modular Recording & Streaming Solutions for Vision and Imaging Systems.

    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.

    Need More Information?

    Our team of experts is ready to help you find the perfect solution for your application needs.

    • Free technical consultation
    • Custom solution design
    • Quick response time
    • Expert engineering support

    Or contact us directly:

    info@gidel.com




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