AI that scans a construction site can spot when things are falling behind
Los sitios de construcción en Europa ahora están utilizando software de reconocimiento de imágenes creado por Buildots que señala retrasos o errores automáticamente.
Construction sites are vast jigsaws of people and parts that must be pieced together just so at just the right times. As projects get larger, mistakes and delays get more expensive. The consultancy Mckinsey estimates that on-site mismanagement costs the construction industry $1.6 trillion a year. But typically you might only have five managers overseeing construction of a building with 1,500 rooms, says Roy Danon, founder and CEO of British-Israeli startup Buildots: “There’s no way a human can control that amount of detail.”
Danon thinks that AI can help. Buildots is developing an image recognition system that monitors every detail of an ongoing construction project and flags up delays or errors automatically. It is already being used by two of the biggest building firms in Europe, including UK construction giant Wates in a handful of large residential builds. Construction is essentially a kind of manufacturing, says Danon. If high-tech factories now use AI to manage their processes, why not construction sites?
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