Motorola Solutions had nine patents in big data during Q1 2024. Motorola Solutions Inc filed patents in Q1 2024 for device configurations for a machine-learned model, where a system prioritizes input parameters and performance values for features to select device configurations. Another patent involves managing incident calls between public safety responders and targets by performing audio analytics to modify the trusted side of the call for a suitable call environment perception at the target side. GlobalData’s report on Motorola Solutions gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Motorola Solutions grant share with big data as a theme is 55% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Device configuration using sensitivity analysis (Patent ID: US20240095140A1)
The patent filed by Motorola Solutions Inc. describes a device analytics system that utilizes a machine-learned model to detect various features based on inputs from multiple devices. The system involves an electronic processor that determines a prioritization ranking for input parameters, receives confidence values for each feature from each device, calculates performance values for each feature for each device, selects a device configuration based on performance values, and implements the chosen configuration. The system can upgrade firmware, adjust operating parameters, select input devices, or add new devices based on the performance values and prioritization ranking.
The method outlined in the patent involves determining prioritization rankings, receiving confidence values, calculating performance values, selecting device configurations, and implementing the chosen configuration. This method can include upgrading firmware, adjusting operating parameters, selecting input devices, or adding new devices based on the performance values and prioritization ranking. By utilizing a machine-learned model and analyzing input parameters and confidence values, the system can effectively optimize device configurations for improved performance and accuracy in detecting features.
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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.
