UCF’s ‘bridge doctor’ combines imaging, neural network to efficiently evaluate concrete bridges’ safety
New research details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient. Researchers are hopeful that their findings can be leveraged by engineers through a combination of these methods to strategically pinpoint bridge conditions and better allocate repair costs.
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