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.
Supported by
AI content is independently produced by the AEC Magazine editorial team.
HP and NVIDIA supports the creation of this content, but all opinions
and coverage remain editorially independent.
Related articles:
Bentley Systems: the promise of data freedom
D5 Render 2.9 launches for AEC viz
The future has arrived: NXT BLD on-demand
NEWS: New look Revizto 3.0 unveiled
NEWS: Autodesk launches Stingray 3D games engine
Dell brings autonomous AI agents to the desktop
WSB launches construction management service
NEWS: FRAMECAD Structure 8.1.8 released
Advertisement