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Enview Introduces Artificial Intelligence-Enabled Solution That Automatically Identifies Vegetation Near Power Lines

Artificial Intelligence News

Enview-Introduces-Artificial_Intelligence-Enabled-Solution-That-Automatically-Identifies-Vegetation-Near-Power-Lines Enview Introduces Artificial Intelligence-Enabled Solution That Automatically Identifies Vegetation Near Power LinesA Silicon Valley-based data processing Company, Enview has introduced a new Artificial Intelligence-powered solution that spot the exact location and clearances of high-risk vegetation near power lines early, and at scale. With this solution, operators can prioritize and deal with the problem areas.

Founder and CEO of Enview, Dr. San Gunawardana stated that the scale of this challenge is staggering. Basically, it is not reasonable to expect the traditional manual processes utilized by many utilities to thwart these embryonic threats. The outcomes are catastrophic and the company is seeing that event not only here in California, but also across the globe. But, new technology can assist solve these challenges. That’s why Enview designed and developed a solution utilizing the latest in Artificial Intelligence, Machine Vision, and Cloud Computing to facilitate exact and extremely fast identification of at-risk spans. Several utilities currently are utilizing LiDAR to map and visualize their power lines. Enview, which is available as a software subscription, allows utilities to deploy LiDAR data but with much faster outcomes and with much less manual labor. The Enview solution automatically analyses the data to generate intuitive and easily reached data visualizations which can be delivered directly to the workforce in the field for an abrupt response.

To identify potential threats before they become incidents, utilities across the world are utilizing Enview solution. This is the sort of things where AI is best suited for. It is almost impracticable for humans to monitor tree growth near power lines in remote areas. So, the tool, if deployed properly, will support prevent disasters.