Machine Learning is a topic that a lot of people talk about but without really understand what it is about or what it entails. It has almost become a buzzword that unscrupulous salespeople or trendy-wannabe bosses would throw randomly in a conversation to sound like they know what they are on about. Today we are going to give you a very clear definition of Machine Learning and how we use it in combination with drones and 3D models to help you to #ONEUPYOURBUSINESS.
First and foremost, we need to define Artificial Intelligence, commonly abbreviated as AI. In its most simplistic and colloquial definition, Artificial Intelligence is the ability of machines/computers to learn and solve problems by themselves.
Machine Learning, sometimes abbreviated as ML, is a subset of Artificial Intelligence and we could define it as the process by which machines/computers learn from the constant feeding of data, and by data we mean anything from images to 3D models, from words to numbers, and everything in between. With Machine Learning the data is analysed to find common patterns and apply them to new sets of data.
Machine Learning and Artificial Intelligence are crucial tools for us to analyse the output from our drones and 3D scanners.
The main outputs that we feed to our Machine Learning application are static images and 3D Point Clouds. In order to get the most out of Machine Learning we need to conduct regular and frequent inspections, as the more data we feed, the more accurate and precise the comparison results will be.
One the most useful analyses that we produce is the comparison of “as-designed vs as-built”. This analysis is done in several steps:
By overlaying your CAD on top of the Topographic Survey, we will have a precise geolocation of where the digging should take place and construction of the structures should go with an accuracy of 1 centimetre, and by regularly feeding new inspections to the system we can spot discrepancies very early on, therefore saving you money by preventing unnecessary delays. If the digging takes place 3 metres away or a wall is being erected somewhere it should not be, we can spot it and tell you. You can even see the results of the inspection in real-time with our remote feed.
This comparison of “as-designed vs as-built” is also helpful in cases of insurance claims to keep track of the repair progress and make sure that is being done according to specification.
Our system will create a timeline with the results of all inspections that we can navigate back and forth and produce side-by-side comparisons.
By using Machine Learning and Artificial Intelligence in combination with Drones and 3D Models you get several key advantages:
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