International Business Machines Corporation (20240264796). CONTROL AND CONFIGURATION FOR WIRELESS AUDIO DEVICES simplified abstract
Contents
CONTROL AND CONFIGURATION FOR WIRELESS AUDIO DEVICES
Organization Name
International Business Machines Corporation
Inventor(s)
Adam Lee Davenport of Las Vegas NV (US)
Derek Brewer of Bowling Green OH (US)
Robert Wilhelm of Cheyenne WY (US)
Steven Perrotta of Washington DC (US)
CONTROL AND CONFIGURATION FOR WIRELESS AUDIO DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240264796 titled 'CONTROL AND CONFIGURATION FOR WIRELESS AUDIO DEVICES
The abstract describes a method, computer system, and computer program product for transmitting data from a set of edge devices. The process involves identifying IoT devices within a structure, grouping them, selecting primary devices for each group, deploying machine learning models on the primary devices, and activating other groups based on events detected by the primary devices.
- Identifying IoT devices within a structure
- Grouping the identified devices
- Selecting primary devices for each group
- Deploying machine learning models on the primary devices
- Activating other groups based on events detected by the primary devices
Potential Applications: - Smart home automation - Industrial IoT monitoring and control systems - Environmental monitoring in smart cities
Problems Solved: - Efficient data transmission from edge devices - Real-time event detection and response - Optimal utilization of IoT devices within a network
Benefits: - Improved automation and efficiency - Enhanced security and safety measures - Cost-effective deployment of IoT solutions
Commercial Applications: Title: "Enhanced IoT Data Transmission and Event Detection System" This technology can be utilized in various industries such as manufacturing, healthcare, and transportation for streamlining operations, improving safety measures, and enhancing overall productivity.
Prior Art: Prior art related to this technology may include research on IoT device management, machine learning deployment on edge devices, and event detection systems in IoT networks.
Frequently Updated Research: Researchers are constantly exploring advancements in machine learning algorithms for edge devices, IoT network optimization, and event detection techniques for smart systems.
Questions about IoT Data Transmission and Event Detection System: 1. How does this technology improve the efficiency of data transmission from edge devices? 2. What are the key factors to consider when selecting primary devices for IoT device groups?
Original Abstract Submitted
according to one embodiment, a method, computer system, and computer program product for transmitting data from a set of edge devices is provided. the embodiment may include identifying one or more internet-of-things (iot) devices within a structure. the embodiment may include combining the identified one or more iot devices into one or more groups. the embodiment may include identifying a respective primary device for each group of the one or more groups. the embodiment may include deploying a tiny machine learning (ml) model on each identified respective primary device. in response to detection of an event within the structure by a group of the one or more groups, the embodiment may include utilizing the tiny ml model of a primary device of the group to select one or more other groups for activation.
