H3 Dynamics Launches H3 Zoom.AI for Smart Cities

6 years ago

H3 Dynamics Holdings launches H3 Zoom.AI, a new cloud-based and artificial intelligence enabled services platform that connects with camera drones to offer a safer, faster, and more accurate alternative to dangerous, difficult to reach, or mass-scale maintenance inspection activities around the world, improving worker safety, reducing downtimes and improving productivity.

With a first focus on Smart Cities, H3 Zoom is launching Façade Inspector (video), a visual inspection tool that leverages machine learning and drones to transform the way high-rise building facades are inspected and maintained. Façade Inspector by H3 Zoom will be unveiled for the first time at the 2018 World Cities Summit – Singapore Pavilion.

H3 Zoom’s Façade Inspector addresses the scalability challenge by introducing a fully digitized process that can scan a high-rise building within minutes instead of weeks, while avoiding gondolas and improving worker safety. H3 Zoom’s AI engine can sort through thousands of HD images and billions of pixels to precisely identify, qualify, and localize different types of defects, which are then represented through interactive inspection reports.

Industry professionals can now log into H3 Zoom.AI, find the building elevation maps they are familiar with, see a summary and of defects found by severity and by type (surface cracks, paint peels or corrosion marks and other defects), all of which can be visualized as an overlay onto the elevation maps. The interactive nature of the solution offers users the ability to “zoom” into any of the HD images that captured the identified problem. Each defect description also comes with a severity grading which the AI engine has learned over time from expert inputs.

H3 Zoom is a cloud based and AI-powered digital services platform that addresses specific infrastructure maintenance use cases across several industry verticals. The platform will feature a range of digital subscription services that feature automated anomaly reporting systems based on visual, thermal or chemical sensor inputs gathered by drones and a variety of other remotely operated sensor robots.