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?

AI is starting to change various aspects of construction, from design to self-driving diggers. Some companies even provide a kind of overall AI site inspector that matches images taken on site against a digital plan of the building. Now Buildots is making that process easier than ever by using video footage from GoPro cameras mounted on the hard hats of workers.