MIDS Capstone Project Summer 2019

“OnSight”: Enhanced Site Supervision & Reporting

We provide a system that generates an automated supervisory report for workforce tracking on construction sites. The system adds protection against liability while lowering costs associated with workforce supervision.  The solution is non-biometric and leverages SSD object detection frameworks and post processing algorithms to conduct inference on streaming video to detect people coming on and off the site, disaggregated by contractor group.  We use edge devices (e.g. Nvidia Jetson Nano & TX2) to generate and publish data to Google Big Query and Data Studio.

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Red Group Worker Identified
Red Group Worker Identified
Sample Supervisory Report
Sample Supervisory Report

Last updated:

August 6, 2019