Motorola Solutions has been granted a patent for a device analytics system that uses machine-learned models to detect features based on inputs from multiple devices. The system prioritizes input parameters, evaluates performance values, and selects device configurations for optimal model performance. GlobalData’s report on Motorola Solutions gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Motorola Solutions, Emergency response systems was a key innovation area identified from patents. Motorola Solutions's grant share as of February 2024 was 77%. Grant share is based on the ratio of number of grants to total number of patents.

Device analytics system for machine-learned model configurations

Source: United States Patent and Trademark Office (USPTO). Credit: Motorola Solutions Inc

A recently granted patent (Publication Number: US11921601B1) discloses a device analytics system that utilizes an electronic processor to enhance the performance of machine-learned models in detecting various features based on inputs from multiple devices. The system involves determining prioritization rankings for input parameters, receiving confidence values for features, evaluating performance values for each feature per device, selecting device configurations based on performance, and implementing the chosen configuration. The processor can upgrade firmware, adjust operating parameters, or select devices to provide input to the model, with the prioritization ranking determined through variability analysis and normalization between zero and one.

Furthermore, the patent includes a method for conducting device analytics, mirroring the system's functions, and a non-transitory computer-readable medium storing instructions for executing these functions. The method involves determining prioritization rankings, receiving confidence values, evaluating performance values, selecting device configurations, and implementing them, with options to upgrade firmware, adjust parameters, select devices based on capability, and include new devices. The prioritization ranking is determined through variability analysis, and the system aims to optimize machine-learned model performance by selecting the most suitable device configurations based on performance values. The patent highlights the importance of efficient device analytics in enhancing the functionality and accuracy of machine learning models across various devices.

To know more about GlobalData’s detailed insights on Motorola Solutions, buy the report here.

Premium Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

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.