In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Unsupervised learning is a machine learning approach that finds patterns, structure, or useful representations in unlabeled data. It groups similar observations, compresses high-dimensional features, detects outliers, discovers item relationships, and supports modern representation learning.
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Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
how Last Praetorian Interactive made Project Vesperi with one Xsens suit
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In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
2 minutes read
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
7 minutes read
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Smart eyewear promises to transform how we see and interact with the world. Among its many potential advantages, the technology offers hands-free access to information, vision enhancement, and accessibility tools.
4 minutes read
Machine learning, wearable sensors could help reduce injury, improve form
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The no-code platform from Matroid trains ordinary cameras to act like expert inspectors, turning simple footage into a pixel-level defect checklist. Even a handheld GoPro can spot issues human eyes miss—using remarkably small datasets.
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Texas A&M researchers have developed a new cyber defense system to improve the safety of critical infrastructure.
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New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.
In the world of automotive manufacturing, precision is not optional — it is mandatory. Every component, from wiring harnesses to interior panels to fasteners, must be installed correctly, in the correct sequence, at the correct tempo, every single time.
A new study uses advanced imaging technology to identify materials in municipal solid waste that can be separated for recycling or to produce energy.
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With Xsens MVN Analyze
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In this episode, we cover how researchers trained a quadruped robot to play badminton, teaching it to track the shuttlecock, move into position, and swing a racket in real time, showing how AI can bring robots closer to human-like coordination.
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With Xsens MVN Animate
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with Xsens motion capture
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AI is not here to replace the people who keep manufacturing moving. It is here to help. AI enhances decision-making, improves safety, and makes quality control more reliable and traceable.
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