Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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.
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.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
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.
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.
Computer vision brings an 80% reduction in illegal dumping. IoT surveillance company iDefigo partners with Matroid to apply AI-based computer vision for illegal trash dumping detection.
In this episode, we talk about how Toyota and Stanford are collaborating to utilize AI for drifting controls and the efforts behind a team at TUM which has resulted in an autonomous race car performing at the capacity of an amateur F1 driver.
Article #5 Altair Startup Series. How startups can accelerate growth and effectively use artificial intelligence for quality assurance, data analytics, and other critical engineering tasks.
Deep-learning algorithms are enabling powerful video analytics. A practical use in manufacturing is monitoring human actions in manual operations. Some assemblies require specific torquing sequences, which can't always be tracked with traditional methods. AI-based Computer Vision advances quality management.
Artificial intelligence (AI) is showing significant promise in medical imaging. To translate this promise to reality requires rigorous evaluation of these algorithms.
Developing a tool that evaluates button and switch devices from both hardware (through physical input) and software perspectives is the next logical step in the evolution of device testing automation.