Abstract: A method includes receiving audible sound signals such as the cries of a baby via a microphone of a monitor, and processing the signals to identify whether a predetermined acoustic signature is present. An alert may be generated when the predetermined acoustic signature is present. An information data signal such as a discrete data packet quantifies how closely the sounds match the predetermined signature, and is transmitted to a remote device. The server may aggregate these data packets over time and calculate a variance between the aggregated data packets and a baseline. A report may be generated describing the sound signals and variance. A monitoring system having the monitor and a server are also disclosed.

Abstract: A method for determining the location of underground cables and pipes is disclosed. In some embodiments, the method includes measuring a set of electromagnetic field magnitudes and phases at a plurality of positions while traversing a target line parallelly using 3D electromagnetic coil sensors, the 3D electromagnetic coil sensors being orthogonally oriented to the target line, modeling a set of expected complex electromagnetic field magnitudes of a single underground conductor at each of the positions to form a set of values corresponding to a set of individual models for the target line, determining which of the set of individuals models is a best model, determining confidence information at each of the positions based on a comparison between the measured set of complex electromagnetic magnitudes and phases and the best model, and determining parameters at each of positions related to the target line from the best model.

Abstract: A method includes receiving audible sound signals such as the cries of a baby via a microphone of a monitor, and processing the signals to identify whether a predetermined acoustic signature is present. An alert may be generated when the predetermined acoustic signature is present. An information data signal such as a discrete data packet quantifies how closely the sounds match the predetermined signature, and is transmitted to a remote device. The server may aggregate these data packets over time and calculate a variance between the aggregated data packets and a baseline. A report may be generated describing the sound signals and variance. A monitoring system having the monitor and a server are also disclosed.

Abstract: Line locator systems that fuse traditional sensors used in a combined pipe and cable locator (electromagnetic coils, magnetometers, and ground penetrating radar antennas) with low cost inertial sensors (accelerometers, gyroscopes) in a model-based approach are presented. Such systems can utilize inexpensive MEMS sensors for inertial navigation. A pseudo-inertial frame is defined that uses the centerline of the tracked utility, or an aboveground fixed object as the navigational reference. An inertial sensor correction mechanism that limits the tracking errors over time when the model is implemented in state-space form using, for example, the Extended Kalman Filter (EKF) is disclosed.

Abstract: A method for determining the location of underground cables and pipes is disclosed. In some embodiments, the method includes measuring a set of electromagnetic field magnitudes and phases at a plurality of positions while traversing a target line parallelly using 3D electromagnetic coil sensors, the 3D electromagnetic coil sensors being orthogonally oriented to the target line, modeling a set of expected complex electromagnetic field magnitudes of a single underground conductor at each of the positions to form a set of values corresponding to a set of individual models for the target line, determining which of the set of individuals models is a best model, determining confidence information at each of the positions based on a comparison between the measured set of complex electromagnetic magnitudes and phases and the best model, and determining parameters at each of positions related to the target line from the best model.

Abstract: Line locator systems that fuse traditional sensors used in a combined pipe and cable locator (electromagnetic coils, magnetometers, and ground penetrating radar antennas) with low cost inertial sensors (accelerometers, gyroscopes) in a model-based approach are presented. Such systems can utilize inexpensive MEMS sensors for inertial navigation. A pseudo-inertial frame is defined that uses the centerline of the tracked utility, or an aboveground fixed object as the navigational reference. An inertial sensor correction mechanism that limits the tracking errors over time when the model is implemented in state-space form using, for example, the Extended Kalman Filter (EKF) is disclosed.