SYSTEMS AND METHODS FOR DETERMINING AND DISTINGUISHING BURIED OBJECTS USING ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20230176244A1

    公开(公告)日:2023-06-08

    申请号:US17935564

    申请日:2022-09-26

    申请人: SeeScan, Inc.

    发明人: Mark S. Olsson

    IPC分类号: G01V3/17 G01V3/08 G01V3/38

    CPC分类号: G01V3/17 G01V3/38 G01V3/081

    摘要: Systems and methods are provided for determining and distinguishing buried objects using Artificial Intelligence (AI). In an exemplary embodiment, electromagnetic data related to underground utilities and communication systems is collected and provided to a Deep Learning model to build a training set. The Deep Learning model may be trained based on collected sets of Training Data, testing data, and/or user predefined classifiers. The Deep Learning model may use thresholds to determine if a set of data falls within a specific class. Classes may include gas, electric, water, cable, communications lines, or other buried utility and communication classes. Electromagnetic data collected may include multi-frequency measurements, phase measurements, signal strength measurements, and other related measurements. Data may be collected from locators, Sondes, transmitting and receiving antennas, inductive clamps, electrical clips, and satellite systems such as GPS, and other sources. Determined class data may organized and displayed to a user.