Alarmcom had ten patents in robotics during Q2 2024. Alarmcom Holdings Inc filed patents for methods, systems, and apparatus for using robots to fetch and guard delivered packages, as well as for performing privacy-aware surveillance with security camera drones. The package fetching method involves determining package characteristics and risk scores, assigning robots to take action based on this information, and deploying the robots accordingly. The surveillance method with drones includes detecting objects, determining viewing angles, identifying areas for surveillance and exclusion, adjusting viewing angles to exclude certain areas, and controlling the imaging device accordingly. GlobalData’s report on Alarmcom gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Alarmcom had no grants in robotics as a theme in Q2 2024.
Recent Patents
Application: Fetching and guarding packages using drones (Patent ID: US20240127164A1)
The patent filed by Alarm.com Holdings Inc. describes methods, systems, and apparatus for fetching and guarding delivered packages using robots. The methods involve determining the characteristics and risk score of a package at a specific location, deciding on an action based on this information, assigning a robot to perform the action, and deploying the robot accordingly. The system uses various factors such as weather data, property schedule data, and machine learning models to determine the risk score and appropriate action for the package, which could include moving, guarding, or monitoring the package.
The patent also includes claims for a computer-implemented method, a system, and a non-transitory computer storage medium that outline the steps involved in determining the risk score, selecting the appropriate action for the package, assigning a robot based on the characteristics of the package, and deploying the robot to carry out the action. The system is designed to reduce theft or damage risks associated with packages by using robots to perform tasks such as moving packages to a different location, guarding them, or monitoring their status. The use of machine learning models and historical package data enhances the accuracy of determining the risk score and selecting the most suitable action for each package.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
