Hard-hat Detector technology demonstration designed to improve safety on construction sites
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.
Once the video file is processed, it is possible to view snapshots where non-hard hat wearers are detected or download them locally. The technology demonstration can be ‘seamlessly connected’ to Google Drive, Dropbox, or MEGA online.
Related articles:
NEWS: Allplan adopts CADICS for road construction and route mapping
What’s next for VR in construction?
NEWS: Lenovo unveils 2-in-1 mobile workstation for CAD and sketching
Microdesk releases optimised fabrication database solution for Revit
NEWS: HP ZBook G5 generation brings mobile workstation tally to eight
Video: NXT BLD 2018 London conference - Stefana Parascho, Gramazio Kohler Research
SketchUp for iPad launches for modelling on the go
Velocity Micro launches servers with 8 GPUs
Advertisement