MOTOROLA SOLUTIONS, INC. (20240378104). METHOD AND SYSTEM FOR DIAGNOSING A MALFUNCTIONING OR MISUSED DEVICE simplified abstract
Contents
METHOD AND SYSTEM FOR DIAGNOSING A MALFUNCTIONING OR MISUSED DEVICE
Organization Name
Inventor(s)
REXY PRAKASH Chacko of GELUGOR (MY)
MURALI Kuyimbil of PENANG (MY)
AINA Aziz of PARIT BUNTAR (MY)
METHOD AND SYSTEM FOR DIAGNOSING A MALFUNCTIONING OR MISUSED DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378104 titled 'METHOD AND SYSTEM FOR DIAGNOSING A MALFUNCTIONING OR MISUSED DEVICE
Simplified Explanation: The patent application describes a method, system, and computer program product for diagnosing malfunctioning or misused electronic devices by analyzing video and audio to detect anomalies.
Key Features and Innovation:
- Performing analytics on video and audio to automatically detect anomalies in electronic devices or user interactions.
- Distinguishing detected anomalies from other non-present anomalies that a computer system can identify.
Potential Applications: This technology could be applied in various industries such as consumer electronics, telecommunications, and home automation for diagnosing and troubleshooting electronic devices.
Problems Solved: This technology addresses the challenges of efficiently diagnosing and identifying issues in electronic devices that may not be easily detectable through traditional methods.
Benefits: The benefits of this technology include improved accuracy in diagnosing electronic device issues, faster troubleshooting processes, and enhanced user experience with electronic devices.
'Commercial Applications: Commercial applications of this technology could include electronic device manufacturers integrating this diagnostic system into their products to provide better customer support and improve product reliability.
Prior Art: Readers can start searching for prior art related to this technology in the fields of computer vision, audio processing, and machine learning algorithms for anomaly detection.
Frequently Updated Research: Stay updated on advancements in computer vision, audio processing, and machine learning algorithms for anomaly detection to enhance the capabilities of this diagnostic technology.
Questions about Electronic Device Diagnostics: 1. What are the potential implications of this technology in the field of consumer electronics? 2. How does this technology improve the user experience with electronic devices?
Original Abstract Submitted
a method, system and computer program product for diagnosing a malfunctioning or misused electronic device is disclosed. the method includes performing analytics on at least one of video and audio to automatically detect at least one anomaly exhibited by the electronic device or exhibited in relation to user interaction with the electronic device, the at least one anomaly being distinguishable from other non-present anomalies detectable by a computer system that carries out the performing of the analytics.
