Verizon Patent and Licensing Inc.

Christopher Kennedy

Istvan Horvath

Andrew W Herson

Csaba Rekeczky

Domonkos Huszar

Jason James Howard

The present disclosure is directed to a system for guided growth where the implanted physeal tether device can be unlocked using a non-invasive, transcutaneous technique. In one embodiment, a guided growth implant device, consisting of at least two locked pieces at time of surgical implant, can be non-surgically unlocked in-situ, thus halting the guided growth process on demand without requiring additional surgery. In another embodiment, a guided growth implant device can be unlocked using a magnetic or electromagnetic coupling technique. In another embodiment, a guided growth system consists of a device that is implanted to constrain/tether physeal growth and an external actuator tool that is used to non-invasively, non-surgically unlock the implanted device thus halting the guided growth process.

Physeal tethering device with non-invasive unlocking apparatus for cessation of guided growth modulation

A method, a device, and a non-transitory storage medium are described in which a machine learning-based device placement and configuration service is provided. The machine learning-based device placement and configuration system uses regression models calculated from installation and performance data. The regression model includes data associated with sites at which video cameras were previously installed and tested for detection accuracy levels possibly associated with a service area. With these generated models, information about the physical space, and desired performance criteria, designers optimize camera number, camera placement, and geo-location camera parameters. The device placement and configuration service may find an optimal camera placement and geo-location camera parameter set which satisfy certain criteria. The geo-location parameters include position, height, heading, pitch, and roll. Subsequent to the installation of the video cameras using the calculated geo-location parameters, the system may verify accuracy of detection of the service area, and update the regression model.

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San Jose, CA, United States of America

Christopher Kennedy