Alarmcom had eight patents in cybersecurity during Q4 2023. Holdings Inc filed patents for object detection using positional prior filtering and a monitoring unit for security and automation in premises. The object detection method involves training a face location predictor and an error model to detect faces in images, while the monitoring unit allows for remote configuration and control to monitor events within a space and alert users via a smartphone. The unit includes an image sensor with a wide field of view that can be segmented on a mobile device for specific area viewing and event-based alerts. GlobalData’s report on Alarmcom gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Alarmcom grant share with cybersecurity as a theme is 75% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Face detector using positional prior filtering (Patent ID: US20230360430A1)

The patent filed by Holdings Inc. describes a method, system, and apparatus for object detection using positional prior filtering. The method involves obtaining person bounding boxes and face bounding boxes from a set of images, training a face location predictor and an error model to determine the likelihood of an image depicting a face, and storing these models for face detection. The system further includes operations for receiving input images, detecting faces, and performing automated actions based on the detected faces, such as locking or unlocking a door.

The system also includes features for determining face prior values, training the face location predictor using person bounding box features, and skipping training based on likelihood thresholds. Additionally, the method involves detecting face candidates, determining the likelihood of an image depicting a face, and performing automated actions based on the results. The non-transitory computer storage media encoded with instructions for these operations further includes features for selecting input images, performing facial recognition, and determining face prior values for automated actions. Overall, the patent outlines a comprehensive system for efficient and accurate face detection using positional prior filtering.

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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.