原文标题： Planet Successfully Runs AI in Space 来源： https://myppt.cc/e1uCtJ 内文： April 7, 2026 Using NVIDIA Jetson, Planet achieves AI-powered object detection on its Pelican satellite SAN FRANCISCO--(BUSINESS WIRE)-- Following the announcement of a strategic initiative with NVIDIA, Planet Labs PBC (NYSE: PL) announced a landmark technical achievement: the successful deployment and execution of AI-driven object detection directly onboard its Pelican-4 satellite, paving the way toward on-orbit compute for rapid insights, a capability Planet calls Planetary Intelligence. http://i.imgur.com/it0WWLz.jpg Imagery captured by Pelican-4 on March 25, 2026 over Alice Springs, Australia, demonstrating the first successful deployment and execution of AI-driven object detection directly onboard Planet spacecraft. This first detection has an 80% detection accuracy on raw imagery. Work is underway to improve model precision and recall as Planet refines its models. On March 25th, 500km over Alice Springs, Australia, Planet’s Pelican-4 captured an image of an airport, then successfully utilized its onboard NVIDIA Jetson Orin module to run an AI model to detect airplanes in moments. This represents one of the first times an Earth imaging satellite has moved beyond simple data capture to onboard AI inference and analysis. “This success is a glimpse into the future of what we call Planetary Intelligence at scale," said Kiruthika Devaraj, VP of Avionics & Spacecraft Technology. "By running AI at the edge on the NVIDIA Jetson platform, we can help reduce the time between 'seeing' a change on Earth and a customer 'acting' on it, while simultaneously minimizing downlink latency and cost. This shift toward integrated AI at the edge is a technological leap that can help differentiate solutions like Planet’s Global Monitoring Service (GMS), providing valuable insights for our customers and enabling rapid resp “This step with NVIDIA can help speed the pace of insight, reducing the time to potential answers from hours to minutes. This can be the critical difference-maker for our customers from disaster response to security and beyond,” said Will Marshall, Planet CEO and Co-Founder. “Bigger picture: this is an exciting milestone towards delivering Planetary Intelligence. We’re moving AI from the internet into the physical realm, effectively connecting the ‘eyes’ of our satellites with an onboard ‘brain’ to create a nervous system for the planet.” This breakthrough can help progress Planet’s Pelican and forthcoming Owl constellations into a near-real-time intelligence network. Leveraging NVIDIA Jetson and high-speed inter-satellite links, Planet is working to effectively close the latency gap. Rather than waiting for data to download and then be analyzed on the ground, customers could receive actionable insights within minutes of capture. The end-to-end process, spanning initial data generation, deep-net object detection, and full geo-rectification, is designed to occur entirely in orbit. By producing GeoTIFF and GeoJSON insights within isolated Docker containers in space, Planet is striving to be able to generate intelligence about events in minutes. While the onboard models are in their early stages and will continue to be refined, the successful integration of AI applications in space paves the way for a new era of flexibility for satellite constellations. By placing this compute power on the satellite itself, Planet aims to unlock the future of Earth intelligence at a planetary scale with near real-time insights. 机翻： Planet公司利用NVIDIA Jetson技术，在其Pelican卫星上实现了人工智慧驱动的目标侦测。 旧金山--(BUSINESS WIRE)-- 继宣布与 NVIDIA 达成战略合作之後，Planet Labs PBC (NYSE: PL) 宣布了一项里程碑式的技术成就：在其 Pelican-4 卫星上成功部署和执行了 AI 驱动的目标，为在轨计算以实现快速洞察铺平了道路，Planet 将这项能力称为行星智能。 2026年3月25日，Pelican-4卫星在澳洲爱丽丝泉上空拍摄的影像，展示了Planet太空船首次成功部署并执行人工智慧驱动的目标侦测。此次检测在原始影像上的准确率达到了80%。 Planet公司正在不断改进其模型，以提高模型的精确度和召回率。 3月25日，在澳洲爱丽丝泉上空500公里处，Planet公司的Pelican-4卫星拍摄到一张机场影像，随後成功利用其搭载的NVIDIA Jetson Orin模组运行人工智慧模型，瞬间辨识出飞机。这标志着地球成像卫星首次超越简单的数据收集，实现了机载人工智慧推理和分析。 「这项成功让我们得以一窥我们所说的大规模行星智慧的未来，」航空电子与太空船技术副总裁Kiruthika Devaraj表示。 「透过在NVIDIA Jetson平台上运行边缘人工智慧，我们可以帮助缩短从『观测』到客户『采取行动』的时间，同时最大限度地降低下行延迟和成本。这种向边缘集成人工智能的转变是一项技术飞跃，有助於Planet全球监测服务（GMS）等解决方案脱颖而出，为我们的客户提供宝贵的洞察，并在最关键的时刻实现快速响应。」 「与英伟达的这项合作将有助於加快洞察速度，将获得潜在答案的时间从数小时缩短至数分钟。这对我们的客户而言至关重要，从灾难响应到安全保障，乃至更广泛的领域，都将产生决定性的影响，」Planet 首席执行官兼联合创始人威尔·马歇尔 (Will Marshall) 表示。 “从更宏观的角度来看，这是实现行星智能道路上一个激动人心的里程碑。我们将人工智能从互联网带入物理世界，有效地将卫星的‘眼睛’与星载‘大脑’连接起来，从而为地球构建一个神经系统。” 这项突破有助於推动 Planet 的 Pelican 和即将推出的 Owl 星座发展成为近实时情报网。 Planet 利用 NVIDIA Jetson 和高速星间链路，致力於有效缩小延迟差距。客户无需等待资料下载并在地面进行分析，即可在资料收集後几分钟内获得可操作的洞察。从初始资料产生、深度网路目标侦测到完整的地理校正，整个端对端流程均在轨道上完成。透过在太空中隔离的 Docker 容器内产生 GeoTIFF 和 GeoJSON 格式的洞察数据，Planet 力求在几分钟内产生事件情报。 尽管机载模型尚处於早期阶段，并将持续改进，但人工智慧应用在太空的成功集成，为卫星星座开启了灵活运行的新时代。透过将这种运算能力部署在卫星本身，Planet 旨在以近乎即时的洞察，在行星级尺度上开启地球智慧的未来。 心得： PL发布消息在太空中成功运行AI 在最新一代的Pelican-4卫星上 使用NVIDIA Jetson平台上运行AI 成功辨识出机场的飞机 目前测试准确率达80% 未来图像直接在太空辨识 将结果传回地球 ----- Sent from JPTT on my Google Pixel 7 Pro. --

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