PAR Technology has been granted a patent for a system that tracks user activity with products in an environment. The method involves detecting user entry, uniquely identifying the user, monitoring product interactions, and updating user profiles based on these interactions, including confirming product removal upon exit. GlobalData’s report on PAR Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on PAR Technology, Wearable drug delivery devices was a key innovation area identified from patents. PAR Technology's grant share as of July 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
User activity tracking with products in an environment
The granted patent US12020264B2 outlines a method and system for detecting user presence in an environment through the analysis of wireless network signals. The process begins with a receiver array that continuously monitors these signals to identify specific parameters such as absorption, reflection, and refraction. By analyzing these parameters, the system can determine if the waveform corresponds to a human presence. Once a user is detected, the system uniquely identifies them based on signal patterns linked to identifiable physical features. Additionally, it assesses user interaction with various products in the environment by comparing product characteristics to the wireless signals, ultimately updating the user's profile with relevant product information.
Further claims detail the identification process, which includes generating a unique signature for the user and checking it against a database to ascertain if the user is known. If the user is recognized, their profile is updated accordingly. The system can also prompt the user via their mobile device to confirm actions, such as removing a product from the environment. If the user is not previously known, their signature is added to the database, allowing for future identification. The patent also describes how the system can identify product characteristics through signal patterns and match them with known database entries, including weight verification and detection of specific markers on products. This comprehensive approach aims to enhance user interaction and product management within various environments.
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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.
