NRG Energy. has filed a patent for a smart monitoring system that uses camera-enabled devices to monitor a physical environment. The system can determine parameters such as the identity or behavior of an entity, or the setting of a security system. Based on these parameters, the system can perform operations to deter intruders or provide lighting. The patent claims a method for monitoring, determining parameters, and dynamically performing operations based on thresholds. GlobalData’s report on NRG Energy 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 NRG Energy, Wireless charging wearables was a key innovation area identified from patents. NRG Energy's grant share as of September 2023 was 41%. Grant share is based on the ratio of number of grants to total number of patents.

Smart monitoring system using camera-enabled device for security and automation

Source: United States Patent and Trademark Office (USPTO). Credit: NRG Energy Inc

A recently filed patent (Publication Number: US20230281997A1) describes a method for monitoring a physical environment using a camera-enabled device and dynamically performing operations based on certain parameters. The method involves determining parameters such as the unknown identity of an entity or a predefined suspicious behavior of the entity, or a combination of both. These parameters are used to set thresholds, and operations are performed based on whether the parameters satisfy these thresholds.

The patent also mentions that the thresholds can be set in a way that deters the entity while reducing the probability of taking severe action for a low-risk event. Additionally, the method includes the ability to dynamically escalate or lower the intensity of the operation based on the effect of the operation on predefined suspicious behavior or if the parameters subsequently fail to satisfy the thresholds.

The method further involves processing inputs from the camera-enabled device using facial recognition and license-plate recognition to determine the identity of the entity. If the identity fails to match the profile of known occupants associated with the physical environment, the identity of the entity is considered unknown.

The predefined suspicious behavior includes actions such as a predefined gait of the entity, the entity checking over their shoulder, the frequency of the entity walking past an object, wearing a mask, or carrying a weapon. The operation can involve emitting a sound warning the entity to leave the physical environment, and the sound can be selected based on the predefined suspicious behavior.

The patent also mentions the use of machine learning to dynamically select the sound based on historical sounds that have successfully deterred previous entities. The direction to emit the sound can be set based on monitoring and adjusted based on the tracked movement of the entity.

The method also includes setting thresholds based on the duration for which the entity remains within a predefined geo-boundary or the distance at which the entity is disposed from a predefined object. The operation can involve adjusting parameters of the sound based on the duration within the geo-boundary.

The patent also describes an apparatus with a processor and memory that can execute the method, as well as a non-transitory computer-readable medium storing code for executing the method.

In summary, the patent describes a method for monitoring a physical environment using a camera-enabled device and dynamically performing operations based on parameters such as the unknown identity of an entity or predefined suspicious behavior. The method includes setting thresholds, processing inputs using facial and license-plate recognition, emitting sound warnings, and dynamically adjusting the operation based on the effect and parameters.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.