VISION 2026: FantoVision for Aerospace & Defence

Events Company Updates
3 min read
VISION 2026 Aerospace & Defence Guided Tour with Gidel's FantoVision

Gidel at VISION 2026: FantoVision for Aerospace & Defence

At VISION 2026 in Stuttgart, Germany, October 6–8, Gidel showcased FantoVision and its FPGA-based imaging and Edge AI technologies for Aerospace & Defence applications.

In addition, VISION selected Gidel’s innovation, FantoVision: Mini Edge AI & FPGA Systems, as a VISION Guided Tours Innovation in Aerospace & Defence.

FantoVision combines multi-sensor acquisition, deterministic FPGA preprocessing, real-time image enhancement, Quality+ Compression, and NVIDIA Jetson AI. The Jetson performs real-time sensor fusion of IR and RGB image streams to support AI-based detection, tracking, and classification.

Real-Time FPGA Imaging and Edge AI

FantoVision is designed for demanding imaging applications that require high bandwidth, low latency, deterministic processing, and AI close to the sensors.

First, the FPGA processes image data directly and performs real-time preprocessing, enhancement, and compression, using the same deterministic frame grabber acquisition architecture that underpins Gidel’s broader FPGA image processing platforms. Then, FantoVision transfers the optimized image data to NVIDIA Jetson for AI processing.

Key capabilities include:

  • Multi-sensor acquisition with CoaXPress-12, GigE Vision, and Camera Link
  • Real-time sensor fusion of IR and RGB image streams on NVIDIA Jetson
  • Deterministic FPGA preprocessing with low latency
  • Real-time image processing and enhancement
  • Quality+ Compression for reducing image bandwidth and storage requirements
  • NVIDIA Jetson AI for tracking, detection, and classification
  • Multi-camera acquisition, synchronization, and processing
  • Compact, low-SWaP architecture for embedded and mobile imaging systems

Imaging for Aerospace & Defence Applications

Aerospace and defence imaging systems increasingly need to acquire, process, compress, and analyze high-resolution sensor data directly at the edge. At the same time, these systems must minimize latency, size, weight, and power consumption.

FantoVision supports direct acquisition from high-bandwidth CoaXPress-12 imaging sensors and legacy-compatible Camera Link sensors, as well as high-speed GigE Vision cameras, enabling flexible integration with a wide range of imaging sensors.

Therefore, FantoVision integrates image acquisition, FPGA processing, compression, and NVIDIA Jetson AI into one compact system, making it suitable for applications including:

  • EO/IR imaging systems
  • ISR and surveillance
  • Airborne and UAV imaging payloads
  • Target detection, tracking, and classification
  • Multi-camera and multi-sensor systems
  • Aerial imaging and inspection
  • Armored vehicle vision systems
  • Real-time recording and streaming

VISION Guided Tours Innovation in Aerospace & Defence

The VISION Guided Tours gave visitors a concentrated overview of relevant machine vision innovations for specific application areas.

For the Aerospace & Defence category, VISION selected FantoVision as a VISION Guided Tours Innovation. In particular, FantoVision addresses systems that require compact architecture, high-bandwidth image acquisition, deterministic FPGA processing, real-time compression, and Edge AI.

Gidel’s FantoVision at VISION 2026

At VISION 2026, Gidel presented FantoVision and demonstrated real-time FPGA imaging and Edge AI technologies for Aerospace & Defence applications.

The live demonstration combined multi-sensor CoaXPress-12 image acquisition, deterministic FPGA processing, Quality+ Compression, and NVIDIA Jetson AI. The Jetson performed real-time sensor fusion of IR and RGB image streams, supporting AI-based detection, tracking, and classification.

See FantoVision in Action: Real-Time C-UAS Detection & Classification

Download the FantoVision Datasheet

VISION 2026 Event Details

📆 October 6–8, 2026
📌 Messe Stuttgart, Germany
📍 Hall 8, Booth 8D20

VISION Guided Tour: Aerospace & Defence

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