Marietta Group Extends Inspection Capabilities with Drones, AI

Marietta Group introduced a new supplemental inspection capability that uses powerful artificial intelligence (AI) software and high-resolution drone capture technology to identify, map and track exterior defects on silos. The AI Supplemental Inspection service brings speed and precision to damage and crack mapping not previously been possible. During the drone capture phase, detailed images of the entire silo are obtained…

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Marietta Group Extends Inspection Capabilities with Drones, AI

Marietta Group introduced a new supplemental inspection capability that uses powerful artificial intelligence (AI) software and high-resolution drone capture technology to identify, map and track exterior defects on silos. The AI Supplemental Inspection service brings speed and precision to damage and crack mapping not previously been possible.

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New Study Assesses Metropolitan Road Conditions

The U.S. Chamber of Commerce Foundation and Pittsburgh-based tech startup RoadBotics released a new study, which used artificial intelligence (AI) to assess roadway conditions in 20 of the nation’s major metropolitan areas. As millions of Americans are preparing to return to offices and downtown business districts since the COVID-19 pandemic began, the study ranked the cities where commuters may encounter fewer…

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Guest Editorial: Improving the Aggregate Industry Starts with Fixing Supply Chains

By Priyesh Ranjan Aggregates are quite literally the bedrock of U.S. infrastructure. In 2020 alone, the estimated U.S. output of construction aggregates produced and shipped for consumption was 2.43 billion metric tons. But despite a growing aggregate demand, there is one cog in the machine that’s preventing the industry from reaching its full potential: a broken supply chain network. 

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Mineral Processing – How Artificial Intelligence Can Help

By Gareth Halstead Every plant has a unique way of operating. From hundreds of control parameters, to the volume of production materials processed and the measured outputs, there is a huge amount of data available. Pre Industry 4.0 plants are hampered by their inability to capitalize upon this valuable resource, often resulting in poor operational performance and quality metrics. 

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