Pipe mapping for feature and asset recognition using artificial intelligence

A method for determining and distinguishing buried pipe characteristics using Artificial Intelligence (AI) comprising:

• collecting image data from an imaging element;
• collecting camera head position data from one or more Inertial Navigation System (INS) sensors;
• combining at least a portion of the collected image data and the collected INS sensor data (“collected data”) alone or in combination with at least one predefined classifier to generate training data;
• providing the training data to at least one Neural Network;
• using at least one Neural Network for processing the training data using Deep Learning performed by Artificial Intelligence (AI) and classifying the collected data based on a a pipe characteristic predicted probability;
• and
• organizing and presenting the classified data to a user.

A method for determining and distinguishing buried pipe characteristics using Artificial Intelligence (AI) comprising:

• collecting image data from an imaging element;
• collecting camera head position data from one or more Inertial Navigation System (INS) sensors;
• fusing the collected image data with the collected camera head position data to generate a fused sensor data output;
• generating training data using the fused sensor data alone or in combination with at least one predefined classifier;
• providing the training data to at least one Neural Network;
• using at least one Neural Network for processing the training data using Deep Learning performed by Artificial Intelligence (AI) and classifying the collected data based on a a pipe characteristic predicted probability;
• and
• organizing and presenting the classified data to a user.