{"id":3105,"date":"2025-05-23T11:56:38","date_gmt":"2025-05-23T11:56:38","guid":{"rendered":"https:\/\/gidel.com\/?p=3105"},"modified":"2026-09-20T20:28:29","modified_gmt":"2026-09-20T20:28:29","slug":"defense-solutions-exhibition","status":"publish","type":"post","link":"https:\/\/gidel.com\/defense-solutions-exhibition\/","title":{"rendered":"Gidel at the Defense Solutions Exhibition 2025"},"content":{"rendered":"

Real-Time FPGA Imaging for Defense Applications<\/h2>\n

At the Defense Solutions Exhibition 2025, Gidel demonstrated FPGA-based imaging technologies for defense, UAV, ISR, and high-performance vision applications. The live demonstration focused on real-time image acquisition and processing with FantoVision20-GigE, combining 10 GigE Vision, FPGA-based image enhancement, compression, and NVIDIA Jetson AI processing in a compact Edge AI platform.<\/p>\n

FantoVision20-GigE: Real-Time FPGA Imaging for Defense<\/h3>\n

The live demonstration featured FantoVision20-GigE<\/strong><\/a>, combining NVIDIA Jetson processing with FPGA-based 10 GigE Vision acquisition and real-time image processing.<\/p>\n

The FPGA handled deterministic image acquisition, HDR<\/strong><\/a>, image enhancement, and Quality+ Compression<\/strong><\/a> before transferring the processed image data to the Jetson for AI and application processing.<\/p>\n

By moving these pixel-intensive operations to the FPGA, the system reduced acquisition and image-processing overhead on the Jetson, leaving more CPU\/GPU resources available for detection, tracking, classification, and mission applications.<\/p>\n

The architecture is well suited to defense imaging, UAV, ISR, EO\/IR, airborne surveillance, and rugged vision systems that require low latency, deterministic acquisition, and efficient bandwidth usage.<\/p>\n

Engineers evaluating GigE Vision camera selection can also review Gidel\u2019s guide to GigE Vision camera portfolio<\/a> to compare bandwidth, connectivity, cabling, synchronization, and acquisition requirements.<\/p>\n

FPGA Processing for Real-Time Defense Imaging<\/h2>\n

The Defense Solutions Exhibition 2025 demonstration showed how FPGA processing can be integrated directly into the image-acquisition pipeline.<\/p>\n

Instead of transferring raw camera data to the NVIDIA Jetson and relying on the CPU\/GPU for every processing stage, the FPGA can handle acquisition, HDR, image enhancement, compression, and data preparation before the image reaches the Jetson.<\/p>\n

This architecture reduces processing overhead and helps maintain predictable low-latency operation while preserving more Jetson computing resources for AI inference and application processing.<\/p>\n

For defense, UAV, and ISR systems, this can be particularly valuable in applications where high-bandwidth sensors, constrained data links, low-SWaP platforms, and deterministic real-time performance must be combined in a compact system.<\/p>\n

Applications for Defense, UAV & ISR Vision Systems<\/h2>\n

The technologies demonstrated at the Defense Solutions Exhibition 2025 support demanding imaging applications including:<\/p>\n