United Services Automobile Association (usaa)

Uipco, LLC

Rosa Maria Smith

Justin Dax Haslam

Mark Paxman Warnick

Elena Marie Carrasco

Quian Antony Jones

David Jason Anderson James

Celena Dortch

Katrina Marie Zell

Nolan Serrao

Megan Sarah Jennings

Michael Clinton Arndt

Olamide Oluwatomi Fanilola

Ana Rosa Maldonado

A location-based safety alert system can gather data describing potential health- and safety-related issues at various geographic locations (e.g., crime statistics, disease spread rates, weather reports, and travel advisories). The location-based safety alert system can develop models that characterize how dangerous a location is based on the data describing it. The location-based safety alert system can apply the model, as circumstances at a location change, to compute danger scores that reflect how dangerous the location is at that time. Using the danger scores, the location-based safety alert system can alert users of dangers present in areas of interest to them (e.g., where they will be traveling to soon, where they have family members living, or where they are presently located). The alerts can notify users of the risk present at a geographic location as well as advise them of services and resources available to mitigate the risk.

Providing location-based safety alerts

A system and method for intelligent queueing and guidance is disclosed. The system and method can be used to determine when a user should queue and to provide navigation to a queueing location. The system can include a queueing detection and monitoring module, a queue prediction module, a navigation module, and an optimal timing module. The system can be implemented with mobile devices including smart phones, smart watches, and/or other wearable devices.

Intelligent guidance system for queues

The disclosed wearable device systems include several features for alerting and guiding persons who are approaching other persons in order to promote social distancing. Sensor data from wearable devices that are disposed in an article of apparel are used to determine the presence of a human person within a detection zone around the article of apparel. The detection zone is created based on sound waves generated by sonar-based proximity detectors mounted on the article of apparel. The system could be used to warn a person who breaches the user's detection zone to maintain a safe distance.

Wearable system for social distancing

Growing community of inventors

San Antonio, TX, United States of America

Rosa Maria Smith