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:
Newforma Konekt delivers ‘openBIM’ email integration
Altair and Cadline team up for safety case compliance
Resolve brings 2D construction data into VR
LatimerCAD DistToPlan
Bluebeam expands third party integrations
AI extracts knowledge from past projects
NEWS: Elecosoft extends Asta Powerproject BIM
The lie of the land
Advertisement