Volume 24, Issue 3

More Content from Volume 24, Issue 3

OpenMV: Low-cost, open-source platform enables disparate embedded vision applications

Making embedded machine vision applications more accessible is the ultimate goal of OpenMV, a project responsible for developing multiple iterations of open-source, low-cost embedded camera platforms.

Multispectral imaging system improves image quality for tumor surgeries

Quest Medical Imaging has developed a vision system, based on a multispectral camera and a programmable FPGA, that enables surgeons to better distinguish between a tumor and surrounding tissue during surgeries as a result of better image quality and low latency.

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Edge device uses inexpensive, off-the-shelf components for deep learning inference

An edge computing device specified and developed with inexpensive, off-the-shelf components was developed to perform real-life deep learning applications

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March 2019 snapshots: Mine-detecting drones, holographic security labels, AI air traffic control, and industry forecasts for the vision industry

In the March 2019 snapshots, a team of academic researchers pioneer a mine detection system that could save thousands of lives every year, embedded vision systems provide complex holographic labels for document security, AI software helps Heathrow Airport air traffic control adapt to cloudy weather, and the AIA presents an Automation Market Update that signals a short-term, glacial pace for the vision industry.

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Machine vision and robotic technologies are often used in ways that add convenience to everyday life, even if you don’t realize it.