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:
Laptops: Future proofed?
Graphisoft ArchiCAD 14
NEWS: VUCITY interactive 3D digital model of London unveiled
NEWS: AMD slashes price of professional FirePro GPUs
Xinaps extends reach of AEC software throughout North America
Global HSE Solutions improves fire safety reporting
AI - eleven start-ups to watch in AEC
Lenovo ThinkStation PX, P7 and P5 workstations launch
Advertisement