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computer-vision

EDGE AI, OPEN SOURCE TOOLS

REPRODUCIBLE CROSS-PLATFORM EDGE AI SYSTEMS WITH YOCTO

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Image illustrating reproducible systems Antmicro has been working with a large number of customers implementing AI software on embedded systems, helping utilize all the advantages of an open source-based approach. To achieve this we created a complete methodology...
OPEN MACHINE VISION, OPEN HARDWARE

MACHINE VISION WITH FLICKERLESS LED LIGHTING

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Diagram depicting the rolling shutter method Antmicro’s engineering team is involved in numerous machine vision projects, ranging from biometrics and security, through industrial process control to drones and autonomous vehicles. These usually rely on an edge AI platform...
OPEN SOURCE TOOLS, OPEN MACHINE VISION

RAVIEWER - AN OPEN SOURCE TOOL FOR DEBUGGING VIDEO PIPELINES

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Raviewer's logo Antmicro is involved in many projects where video processing is the key focus - from SDI-enabled AV equipment, through multi-camera robotics systems, biometric identifications devices to VR and medical cameras. When working...
EDGE AI, OPEN MACHINE VISION

INTRODUCING MODULAR RUNTIME FLOWS TO KENNING

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Diagram depicting Kenning deployment flow Kenning is Antmicro’s library aiming to simplify the workflow with machine learning applications on edge devices. It is used for testing and deploying ML pipelines on a variety of embedded platforms regardless of the underlying...
OPEN FPGA, OPEN MACHINE VISION

OPEN SOURCE DEBAYERIZATION BLOCKS IN FPGA

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Diagram depicting debayerization process In modern digital camera systems, the captured image undergoes a complex process involving various image signal processing (ISP) techniques to reproduce the observed scene as accurately as possible while preserving bandwidth...
EDGE AI, OPEN MACHINE VISION

DEPLOYING DEEP LEARNING MODELS ON THE EDGE WITH KENNING

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Edge AI development flow The demand for deploying machine learning models, especially state-of-the-art deep neural networks on edge devices is rapidly growing. Edge AI allows to run inference locally, without the need for a connection to the cloud...
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