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AMC Bridge constantly investigates new and innovative technologies to find out efficient ways of applying them to the construction industry. Construction Safety—Hard-hat Detector, a new web-based technology demonstration that applies machine learning to ensure safety on the construction site, is the latest result of such research.

Driven by machine learning and image recognition techniques of the TensorFlow™ open-source software library, Construction Safety—Hard-hat Detector analyses the frames extracted from the uploaded video and identifies people that do not wear hard hats on a construction site. Once the video file is processed, it is possible to view snapshots where non-hard hat wearers are detected or download them locally.

Check the full article in Informed Infrastructure.

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    AMC Bridge is working on a prototype web-based technology that applies machine learning to identify workers that do not wear hard hats on a construction site. Construction Safety—Hard-hat Detector uses machine learning and image recognition techniques of the TensorFlow open-source software library to analyse frames extracted from an uploaded video.
  • AMC Bridge Releases Construction Safety-Hard-hat Detector

    AMC Bridge has been a leading service provider of solutions for CAD, CAE, CAM, PDM, BIM and PLM applications since 1999. The company has developed Construction Safety—Hard-hat Detector, a new web-based technology demonstration that applies machine learning to ensure safety on construction sites.
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