This Denver-based company is a leader in introducing automation to utility pole periodic maintenance in the United States. This platform LOW-CODE-NO-CODE is meant to automate the entire Machine Learning pipeline to data annotation, model training, model validation, and deployment within one simple easy-to-use web-based portal.
Utility inspection is an expensive and labor-intensive process. A human maintenance engineer, physically visits or reviews, videos/images of the utility pole to take measurements and perform audits.
The advances in Vision Intelligence enabled us to build a DIY (Do-It-Yourself) Machine Learning platform to upload utility pole images, tag components installed on the pole, and train Segmentation algorithms. These algorithms will assist the inspection team to automate most of the inspection and take measurements and compile audit reports.
An ergonomic assessment also called an ergonomic risk assessment, is an objective measure of the risk factors in your work environment that may lead to musculoskeletal disorders or injuries among your workforce, so that you can make measurable improvements in the work environment.