Axelera AI partners with AIKO to push onboard intelligence in space. Their flight-proven AI software plus our efficient processors enable real-time data processing and autonomous decisions in orbit. Blog: https://
eu1.hubs.ly/H0rzLdF0 #SpaceAI #EdgeAI
@axeleraai
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Axelera AI and AIKO Enable Onboard Intelligence in Space
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EdgeFlowNet Optical Flow Deployment on OrangePix Plus Hardware
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EdgeFlowNet optical flow running on @orangepixunlong 5 Plus + Metis M.2 Community member Enmin solved some gnarly deployment challenges:
→ Custom 6-channel DataAdapter for frame-pair calibration
→ Debug flags to hunt down shape mismatches
→ Non-symmetric padding fix, no -
Yocto BSP Layer Enables Custom Linux for Axelera Metis Accelerators
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Building custom embedded Linux images with Yocto? There's now an official BSP layer for Axelera Metis hardware. meta-axelera includes recipes for the PCIe driver and udev rules, so your custom Linux will recognize Metis accelerators straight out of the build. Supports Scarthgap,
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Metis PCIe Driver Now Available on GitHub
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Metis PCIe driver source is now on GitHub The metis.ko kernel module, GPL-2.0 licensed. Useful if you're doing custom kernel builds, Yocto, or non-standard Linux setups. Most users won't need it (Voyager SDK handles installation), but if you're experimenting, it's all there.
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Edge AI Retail Solutions Showcased at EuroShop 2026
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Heading to #EuroShop 2026 to share how edge AI enables more.
Thrilled to have our partner @InnowiseGroup joining us to demo deployable retail AI solutions!
If you're in Düsseldorf Feb 22-26, swing by or book a chat: https://
eu1.hubs.ly/H0rhM4C0
#RetailAI #EdgeAI #AIInference -
Voyager SDK v1.5.3 Adds YOLO26 Support Improvements
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Voyager SDK v1.5.3 adds YOLO26 support End-to-end NMS-free inference, faster CPU performance, better small object detection through ProgLoss + STAL. Removes DFL module for simpler export and broader hardware compatibility. Available across all YOLO26 sizes (n/s/m/l) for
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Hand Gesture Recognition Transforms Workspace Productivity
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What if your desk could understand your hand gestures? Carlo’s #SmarterSpaces project will test hand-pose detection on Metis to trigger intuitive “super commands”, like screenshots or OCR. A playful, powerful upgrade for the workspace. Follow along: https://
eu1.hubs.ly/H0qHV9r0 -
FlowSentry-Wake: Edge AI Detects Suspicious Motion in Smart Spaces
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Can a smart space understand suspicious movement? FlowSentry-Wake, a #SmarterSpaces project by Zijie Ning & Enmin Lin, will use optical flow + edge AI to spot stealthy motion — even crawling intruders. On-device. Low power. No cloud.#EdgeAI #SmartSecurity #ComputerVision
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MotionFlow: Edge AI for Smart Home Activity Detection
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“Motion” isn’t enough. Project MotionFlow will use edge AI to detect activity — sitting, lying down, walking — and power smarter home automation for platforms like @Home_Assistant and @NodeRED . Local cameras. No cloud. Real context. https://
eu1.hubs.ly/H0qz-Lp0
#SmarterSpaces -
Edge AI Enhances Safety in Assisted Living Healthcare
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How can edge AI make assisted living safer? Meet NEMA SmartCare by Vito Traversa; a health & safety system built with Axelera’s AI platform to monitor posture, movement & vital signs in real time. Smarter, safer care. At the edge. https://
eu1.hubs.ly/H0qzZD90
#EdgeAI