{"id":2202,"date":"2024-11-21T17:48:52","date_gmt":"2024-11-21T17:48:52","guid":{"rendered":"https:\/\/gidel.com\/?p=2202"},"modified":"2026-09-20T18:50:52","modified_gmt":"2026-09-20T18:50:52","slug":"military-aviation-2024","status":"publish","type":"post","link":"https:\/\/gidel.com\/military-aviation-2024\/","title":{"rendered":"Gidel at Military & Aviation 2024"},"content":{"rendered":"

Military & Aviation 2024: Gidel Demonstrated FPGA Imaging and Edge AI<\/strong><\/h2>\n

At Military & Aviation 2024, Gidel demonstrated FPGA-based imaging technologies for defense, aerospace, UAV, and other mission-critical vision applications.<\/p>\n

The demonstrations focused on high-speed image acquisition, deterministic FPGA processing, real-time image enhancement, compression, recording, and NVIDIA Jetson-based Edge AI processing.<\/p>\n

Real-Time FPGA Imaging for Defense and Aerospace<\/strong><\/h2>\n

Gidel\u2019s FPGA-based imaging architecture supports demanding defense and aerospace systems that require high data rates, low latency, deterministic acquisition, and real-time image processing.<\/p>\n

By processing image data directly in the FPGA, acquisition, image enhancement, compression, and data preparation can operate within the same deterministic pipeline before data is transferred to downstream processors, storage systems, or networks.<\/p>\n

This architecture is well suited to applications such as ISR, EO\/IR imaging, fixed-camera surveillance, UAV payloads, mission recording, and other high-bandwidth imaging systems.<\/p>\n

Edge AI with NVIDIA Jetson and FPGA Acquisition<\/strong><\/h2>\n

Gidel also demonstrated the integration of NVIDIA Jetson<\/a> computing with FPGA-based image acquisition and processing.<\/p>\n

The FPGA can handle deterministic camera acquisition and pixel-intensive preprocessing before transferring processed image data to the Jetson. This reduces acquisition and image-processing overhead on the embedded processor and leaves more CPU\/GPU resources available for AI inference and application logic.<\/p>\n

Gidel\u2019s embedded architecture supports high-speed imaging interfaces including CoaXPress, GigE Vision, and Camera Link, enabling compact Edge AI systems for demanding defense and aerospace applications.<\/p>\n

Real-Time Quality+ Compression and Image Enhancement<\/strong><\/h2>\n

Gidel demonstrated Quality+ Compression<\/strong><\/a> for reducing image data volume directly in the FPGA processing pipeline.<\/p>\n

Quality+ Compression can reduce bandwidth and storage requirements while maintaining high image quality and low processing latency.<\/p>\n

Gidel also demonstrated Real-Time HDR IP<\/strong><\/a> and other FPGA-based image-enhancement capabilities for imaging systems operating under difficult lighting and visibility conditions.<\/p>\n

High-Speed Image Acquisition and Recording<\/strong><\/h2>\n

Gidel\u2019s acquisition platforms support real-time image capture, FPGA processing, recording, and streaming for high-bandwidth imaging systems.<\/p>\n

Supported machine vision interfaces include:<\/p>\n