Pro-core Technologies Limited

Indus.ai Inc.

Ahmed Aly

Mohammad Soltani

Lai Him Matthew Man

Walid Aly

An example computing platform comprising is configured to (i) receive, via one or more cameras positioned on a construction site, a plurality of images, (ii) detect, within the plurality of images, a plurality of objects being worn by respective workers on the construction site, (iii) select, from the plurality of images, a set of images depicting a particular worker, and (iv) based on the selected set of images depicting the particular worker, determine a plurality of trade probabilities for the particular worker, each trade probability in the plurality of trade probabilities indicating a likelihood that the particular worker belongs to a particular trade from among a plurality of trades.

Neural network-based recognition of trade workers present on industrial sites

A computer-implemented method and system for neural network-based recognition of trade workers present on industrial sites is presented. In an embodiment, a method comprises: using a computing device, receiving a plurality of digital images depicting a particular worker; using the computing device, based on the plurality of digital images, determining a plurality of key-point sets of the digital images, each of the plurality of key-point sets comprising location information of key points identified within a depiction of the particular worker in a particular digital image; using the computing device, based on the plurality of key-point sets, determining a plurality of trade-specific activities that appear to be performed by the particular worker; using the computing device, based on the plurality of trade-specific activities, determining a plurality of trade probabilities, each trade probability among the trade probabilities indicating a likelihood that the particular worker belongs to a particular trade from among a plurality of different trades.

A method and a system for patch-based scene segmentation using neural networks are presented. In an embodiment, a method comprises: using one or more computing devices, receiving a digital image comprising test image; using the one or more computing devices, creating, based on the test image, a plurality of grid patches; using the one or more computing devices, receiving a plurality of classifiers that have been trained to identify one or more materials of a plurality of materials; using the one or more computing devices, for each patch of the plurality of grid patches, labelling each pixel of a patch with a label obtained by applying, to the patch, one or more classifiers from the plurality of classifiers; using the one or more computing devices, generating, based on labels assigned to pixels of the plurality of grid patches, a grid of labels for the test image.

Growing community of inventors

North York, Canada

Ahmed Aly