Pro-Core Technologies Limited

Farid Mirahadi

Mohammad Soltani

Fiona Liu

Azadeh Yazdanpanah

Matt Man

Azadeh Yazdan Panah Gohar Rizi

William Gaines

An example computing platform is configured to: determine, via a first machine-learning model, a relationship between a data asset associated with a construction project and a first location entity associated with the construction project; update the data asset to include an indication of the relationship; receive an indication of a target status dimension and a request to generate a heat map for the construction project; determine, for the first location entity, a first value for the target status dimension based the relationship; generate data indicating the heat map, the heat map comprising a visual representation of the first location entity displayed in a first color along a color scale that represents the first value for the target status dimension; and transmit, to an end-user device, the data indicating the heat map and thereby cause the heat map to be displayed via the second end-user device.

Computing system and method for generating predictive heat maps for target status dimensions with data-driven recommendations

An example computing platform is configured to (i) receive a two-dimensional (2D) image file comprising a construction drawing, (ii) generate, via semantic segmentation, a first set of polygons corresponding to respective areas of the 2D image file, (iii) generate, via instance segmentation, a second set of polygons corresponding to respective areas of the 2D image file, (iv) generate, via unsupervised image processing, a third set of polygons corresponding to respective areas of the 2D image file, (v) based on (a) overlap between polygons in the first, second, and third sets of polygons and (b) respective confidence scores for each of the overlapping polygons, determine a set of merged polygons corresponding to respective areas of the 2D image file, and (vi) cause a client station to display a visual representation of the 2D image file where each merged polygon is overlaid as a respective selectable region of the 2D image file.

Automatic area detection

Growing community of inventors

North York, Canada

Farid Mirahadi