NetLux AI
Explainer: IQGeo Pole Intelligence
Capture Pole Data Faster with AI‑Powered Surveying.
Thomas Thuillier, Head of AI Solutions at IQGeo, demonstrates a new pole fielding app designed for technicians to capture data on poles and underground networks using mobile devices with LiDAR capabilities.
See how you can automate measurements and instantly update systems for faster, more accurate design workflows.
View transcript
So my name is Thomas. I work with IQGeo. My role is head of AI solutions for the Americas. So what we're demonstrating here is our new field survey application. Historically, for NetLux AI, which is the AI branch of IQGeo, we've been working with computer vision for build and activation and maintenance. But now we're looking at the upstream processes for when we're actually capturing data on poles underground for buried networks. And so the new app that we've developed is a pole fielding app that leverages the LiDAR capabilities of the mobile phones or the tablets of the technicians on the field. All right, so now we'll demonstrate how a technician would use the fielding app on the field to capture the height of a pole as well as the heights of the different equipments that are on there for make ready purposes or surveying purposes. So I have the app open here on my phone. It's connected to your GIS system as well as project management application so that tickets would be created automatically for you as you're doing your work. Here I'm going to create a new ticket manually. You can see the app opens on my phone and we have a full process that is to be implemented. The first one is we'll use the native gyroscopic equipment of the phone to measure the tilt of the pole. So you can see that right now this is capturing if the pole is leaning or not. We're doing two readings. So I would usually move the pole on the side just to make sure it's not leaning on the other side. We'll keep it here for now. And now that this is done, I'm guided by an AR process that instructs me on what to do. So here I'll place a visual marker on the pole and I will walk back until I see the entire pole in my field of view. And you can see that this blue grid is basically the lidar of the phone picking up the point of cloud in its environment to make measurement. I'll try to take this photo without tilting my phone and it's guiding me to make sure I have the full pole in view. Now it's green. I will hit the capture button and now I can work straight from my phone and get those measurements. It has captured all the lidar information that's necessary. So I'll tap on the top of the pole. I'll tap on the bottom of the pole. I can move it a little bit to ensure that it's well positioned. It looks good. And so now it's telling me that this pole is 12 feet tall and I can move on to the next steps, which is adding equipment that are present there. So I can add, let's say that this at the top is a primary line. So I'll move it up here until it crosses it here visually. It's telling me that this is 10 feet, 6 inches. We can add another equipment. We can see here that there is a fiber cable. I'll put that it's a cable TV. I don't have all the different equipment available on this demo. We'll say that the top of the equipment is attached here. It will capture the measurement as well. So now I hit done. My ticket is confirmed. I have all the information captured as well as the visual. And all of this is instantly saved in the back office platform. It also updates the attributes on your GIS map where your pole is so that you can start your high-level design, low-level design, and make sure that your equipment is in compliance. We also have neural networks that will automatically do the annotation. So right now I did that process manually. But we have the capacity to deploy the AI to automatically detect what equipment is on the pole, put the annotation there, give the measurements so that the technician who is doing fielding doesn't have to do anything. And all of this is instantly available as the photo is captured.



