NumberBoost: A.I. Driven Real-time Error Detection using Computer Vision

We are implementing our computer vision inspection technology to build a real-time error detection and feedback solution to automatically detect anomalies in photos of work done on critical infrastructure. Rather than waiting for a manager to review photos of work done (which can happen days later requiring the worker to travel back to the worksite, presenting a safety risk in the mean time), our system gives the worker feedback in real-time before they leave the jobsite and improves the process of capturing a visual audit trail of the work done by autocompleting fields in the work job documentation using information extracted from the photos. We are working on a specific subset of work types for this challenge but hope to expand to other job and error types after our pilot with Infratek...

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