{"id":5835,"date":"2026-07-13T12:09:37","date_gmt":"2026-07-13T12:09:37","guid":{"rendered":"https:\/\/gidel.com\/?p=5835"},"modified":"2026-09-20T17:05:47","modified_gmt":"2026-09-20T17:05:47","slug":"real-time-aerial-imaging-processing-skyboost-rt-award","status":"publish","type":"post","link":"https:\/\/gidel.com\/real-time-aerial-imaging-processing-skyboost-rt-award\/","title":{"rendered":"SkyBoost-RT Wins VSD 2026 Innovators Award for Real-Time Aerial Imaging"},"content":{"rendered":"

Real-Time Aerial Imaging Processing Recognized in the 2026 VSD Innovators Awards<\/h2>\n

Vision Systems Design recognized Gidel\u2019s SkyBoost-RT as a Silver Honoree in the 2026 Innovators Awards for its real-time aerial imaging processing capabilities. The recognition highlights SkyBoost-RT\u2019s FPGA-based approach to airborne Image Signal Processing (ISP) and compression for aerial imaging, ISR, and inspection workflows.<\/p>\n

SkyBoost-RT<\/a> is designed for applications where high-resolution sensors generate massive RAW data streams that airborne systems must process, record, or stream during the mission. By combining deterministic FPGA processing, low latency, and high-ratio compression, it helps reduce onboard storage, bandwidth, and processing bottlenecks.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n
SkyBoost-RT Real-Time Aerial Imaging Processing Capabilities<\/caption>\n
Capability<\/strong><\/th>\nSkyBoost-RT<\/strong><\/th>\n<\/tr>\n<\/thead>\n
Processing mode<\/strong><\/td>\nReal-time FPGA ISP and compression during acquisition<\/td>\n<\/tr>\n
Image size<\/strong><\/td>\nUp to ~500MP per image<\/td>\n<\/tr>\n
Image width<\/strong><\/td>\nUp to 32K pixels<\/td>\n<\/tr>\n
100MP throughput<\/strong><\/td>\nMore than 7 images per second<\/td>\n<\/tr>\n
150MP throughput<\/strong><\/td>\nMore than 4.5 images per second<\/td>\n<\/tr>\n
Processing volume<\/strong><\/td>\nMore than 2 terapixels per hour<\/td>\n<\/tr>\n
JPEG compression<\/strong><\/td>\nCompression ratio exceeding 10:1, depending on configuration and image content<\/td>\n<\/tr>\n
Camera interfaces<\/strong><\/td>\nGigE Vision, CoaXPress, Camera Link, and custom interfaces<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
Swipe horizontally to view all columns \u2192<\/div>\n

Real-Time FPGA ISP for Aerial Imaging and ISR<\/h3>\n

SkyBoost-RT processes high-resolution RAW Bayer image data while the camera is actively capturing. Instead of waiting for intensive post-processing after the mission, SkyBoost-RT enables the system to generate, compress, record, or stream high-quality imagery in real time.<\/p>\n

The FPGA-based pipeline can include demosaicing, HDR correction<\/a><\/strong>, chromatic aberration correction, Non-Uniformity Correction (NUC), Bad Pixel Replacement (BPR), Dynamic Luminance Balance, White Balance, and additional mission-specific ISP stages.<\/p>\n

Reducing Storage and Downlink Bandwidth Bottlenecks<\/h3>\n

In airborne imaging systems, storing or transmitting uncompressed RAW data is often impractical. High-resolution sensors can quickly generate terabytes of data, creating major challenges for onboard storage, downlink bandwidth, and real-time usability.<\/p>\n

SkyBoost-RT addresses this challenge by compressing image data directly on the FPGA during acquisition. JPEG compression<\/strong><\/a> can often exceed a 10:1 compression ratio, significantly reducing data volume while maintaining high image quality. Optional H.264 \/ H.265 and RTSP output options can also support efficient video streaming and recording workflows.<\/p>\n

High-Resolution Airborne Sensor Processing<\/h3>\n

SkyBoost-RT supports large-format aerial imaging applications, including image widths up to 32K pixels and sensor classes up to approximately 500MP per image, depending on camera model and configuration.<\/p>\n

In real-time pipelines, the system can process over 7 images per second, depending on configuration and input format. This enables continuous acquisition, ISP, compression, recording, and streaming without interrupting the image stream.<\/p>\n

Aerial Imaging and Inspection Workflows<\/h3>\n

Beyond defense ISR, SkyBoost-RT can support aerial inspection, mapping, search and rescue, and situational awareness applications where high-resolution image<\/a><\/strong> capture must be combined with immediate processing, compression, recording, or streaming.<\/p>\n

This helps airborne platforms convert massive RAW sensor data into usable visual information during the mission, not only after landing.<\/p>\n

Deployment Across UAVs, Aircraft, and Embedded Payloads<\/h3>\n

SkyBoost-RT supports deployment across Gidel\u2019s FPGA accelerator platforms, including PCIe frame grabbers<\/a> installed in PCs or servers,\u00a0 compact FPGA modules<\/a> for embedded and low-SWaP systems, and FantoVision Mini Edge AI systems<\/strong><\/a> that combine NVIDIA Jetson computing with FPGA-based image acquisition and processing. For a full comparison of acquisition architectures, see Gidel’s frame grabber platform guide<\/a>.<\/p>\n

The solution supports high-end GigE Vision frame grabbers<\/a>, CoaXPress frame grabbers<\/a>, and the Camera Link frame grabber<\/a>, as well as custom sensor interfaces. It also integrates with Gidel\u2019s Grabber SDK suite and supports camera control through GenICam GenTL.<\/p>\n

Engineers evaluating camera selection can also review Gidel\u2019s guides to Ethernet-based GigE Vision cameras<\/a>, CoaXPress camera options<\/a>, and established Camera Link cameras<\/a> to compare bandwidth, link configuration, cabling, synchronization, and acquisition requirements.<\/p>\n

Custom ISP Pipelines for Mission-Specific Imaging Requirements<\/h3>\n

For advanced users, the ProcVision Suite<\/strong><\/a> enables full ISP pipeline customization at the FPGA level. This lets engineers optimize the processing flow for image quality, compression ratio, throughput, latency, and system resource utilization.<\/p>\n

The SkyBoost-RT award reinforces the value of real-time FPGA processing for airborne imaging teams that need to process, compress, record, and stream massive RAW data directly at the point of acquisition.<\/p>\n

\ud83d\udc49 Explore Gidel SkyBoost-RT<\/a><\/strong><\/p>\n

\ud83d\udc49 Read the Full Vision Systems Design Announcement<\/a><\/strong><\/p>\n

Post-Flight: Accelerating the RAW-to-JPEG Backlog<\/h2>\n

While SkyBoost-RT handles real-time acquisition in the air, capturing high-resolution aerial data is only the first half of the mission. Once the UAV lands, the bottleneck often shifts to batch post-processing. For organizations dealing with thousands of offline RAW images, Gidel’s standard SkyBoost<\/a><\/strong> operates as a dedicated PCIe FPGA accelerator, converting RAW (Bayer) files to JPEG up to 50x faster than software-only workflows.<\/p>\n

\ud83d\udc49 Learn how SkyBoost accelerates aerial photogrammetry post-processing<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Gidel SkyBoost-RT has been recognized as a Vision Systems Design 2026 Innovators Awards Silver Honoree. This real-time aerial imaging processing solution uses FPGA-based ISP and compression during RAW image acquisition, reducing storage and downlink bandwidth bottlenecks for ISR, aerial mapping, aerial inspection, search and rescue, and situational awareness applications.<\/p>\n","protected":false},"author":10,"featured_media":5836,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[12,10],"tags":[83,86,87,91,152,160,163,189,191,192,195,199,200],"class_list":["post-5835","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technical-articles","category-press-release","tag-high-resolution-imaging","tag-uav","tag-aerial-imaging","tag-aerospace","tag-fpga-processing","tag-isr","tag-recording-streaming","tag-coaxpress-frame-grabbers","tag-edge-ai","tag-image-signal-processing","tag-gige-vision-frame-grabbers","tag-camera-link-frame-grabbers","tag-fpga-compression"],"acf":[],"yoast_head":"\nReal-Time Aerial Imaging Processing: SkyBoost-RT Award | Gidel<\/title>\n<meta name=\"description\" content=\"SkyBoost-RT wins recognition in the Vision Systems Design 2026 Innovators Awards for real-time aerial 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Having built his entire career at Gidel, he combines deep technical understanding with strategic market insight. Gidon has been directly involved in the detailed architecture, challenges, and bottlenecks of dozens of advanced imaging projects across sorting and inspection machines, defense and military systems, autonomous platforms, high-speed AI vision workflows, electron microscopy, and industrial automation. His unique ability to bridge technical depth with real-world application needs makes him a recognized figure in the global imaging and vision community.","sameAs":["https:\/\/gidel.com","https:\/\/www.facebook.com\/gidi.weintraub.9","https:\/\/www.instagram.com\/gidiweintraub\/","https:\/\/www.linkedin.com\/in\/gidon-weintraub-055b8a235\/"]}]}},"_links":{"self":[{"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/posts\/5835","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/comments?post=5835"}],"version-history":[{"count":8,"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/posts\/5835\/revisions"}],"predecessor-version":[{"id":6222,"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/posts\/5835\/revisions\/6222"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/media\/5836"}],"wp:attachment":[{"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/media?parent=5835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/categories?post=5835"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gidel.com\/wp-json\/wp\/v2\/tags?post=5835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}