Creates taxonomically rich representations and analysis of construction sites to extract productivity-boosting information and reduce costs & risks
An increasing number of construction sites are using cameras for remote monitoring, generating high volumes of visual data every day. Manual reviewing is time-consuming and data from different cameras often end up as silos. Much of the data is not used on time and the decision-making remains reactive.
CONXAI’s next generation computer vision and neural reasoning technologies extract actionable and predictive insights from raw data and create comprehensive digital representations and interpretations of the construction sites, in a timely and automated manner. It analyzes camera feeds to interpret cost and risk critical events pertaining to safety, quality and logistics.
CONXAI Cognitive Digital Twin Platform delivers actionable and predictive insights through intuitive interfaces in a manner that is easy to use, even for non-tech users.
Our state of the art AI sensor fusion, self-supervised learning and ability to generalize, without handcrafting each and every specific solution, make our technology use-case agnostic.
Taxonomically rich cognitive detection
Captures objects, structures and their attributes in a spatio-temporal scene graph to model causal relations between dynamic activities and how they cause building structures to evolve.
3D perception
Cutting edge AI on low cost cameras to create fine grained geometric and semantic reconstruction.
AI-reasoning
Extracts productivity-boosting information, detects deviations, and anticipates potential delays.
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