{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9f95b29db0344b58bbf266be55a5b028\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9f95b29db0344b58bbf266be55a5b028-7de56dafb8d149ac.gif","duration":300.203,"title":"Detecting Column Locations and Heights in BitSense Using AI Technology","description":"In this video, I demonstrate how our Outglot Engineering system detects the location and heights of columns in a BitSense project, specifically using the Onionta transit station as an example. I walk you through the process of scanning structural plans to identify steel columns and their heights, highlighting that the system uses AI and is stochastic, meaning results can vary. I found 19 columns on the foundation plan and 10 on the second floor framing plan, with heights ranging from 13 to 27 feet. I encourage you to visit our website at www.outglot.engineering to explore more about our technology and try out the demo projects. Your feedback on the system's performance is invaluable as we continue to refine our approach."}