MOTOROLA SOLUTIONS, INC. (20240233734). PROCESSING AUDIO INFORMATION TO IDENTIFY PERSONS OF INTEREST simplified abstract
Contents
PROCESSING AUDIO INFORMATION TO IDENTIFY PERSONS OF INTEREST
Organization Name
Inventor(s)
Christian Ibarra of Weston FL (US)
Bing Qin Lim of Bayan Lepas (MY)
Uvarajan Moorthy of Bedong (MY)
PROCESSING AUDIO INFORMATION TO IDENTIFY PERSONS OF INTEREST - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240233734 titled 'PROCESSING AUDIO INFORMATION TO IDENTIFY PERSONS OF INTEREST
The patent application describes methods and systems for processing audio information to identify persons of interest in public safety incidents.
- Receiving human-generated narrative statements as audio and converting them into digital texts.
- Determining incriminating scores for each narrative statement by identifying incident information not publicly known.
- Calculating a cumulative score for an individual based on the incriminating scores.
- Making a determination of whether the individual is a person of interest based on the cumulative score compared to a fixed threshold.
- Performing automated responsive actions based on the determination.
- Potential Applications:**
This technology can be used in law enforcement investigations, security operations, and emergency response situations.
- Problems Solved:**
The technology helps in quickly identifying persons of interest in public safety incidents based on audio information, improving response times and overall safety.
- Benefits:**
Enhanced public safety, faster identification of suspects, improved decision-making in emergency situations.
- Commercial Applications:**
This technology can be applied in security systems for public spaces, law enforcement agencies, and emergency response organizations to enhance their capabilities in identifying persons of interest.
- Prior Art:**
Prior art related to this technology may include audio processing systems for security and surveillance applications, as well as natural language processing tools for analyzing text data.
- Frequently Updated Research:**
Researchers are continually exploring advancements in audio processing algorithms and natural language understanding to improve the accuracy and efficiency of identifying persons of interest in public safety incidents.
- Questions about the Technology:**
1. How does this technology handle privacy concerns related to processing audio information for identifying persons of interest?
- The technology ensures compliance with privacy regulations by anonymizing personal data and focusing solely on incident-related information.
2. What are the potential limitations of using audio information to identify persons of interest in public safety incidents?
- Limitations may include background noise interference, inaccuracies in speech-to-text conversion, and the need for additional corroborating evidence for conclusive identifications.
Original Abstract Submitted
methods and systems for processing audio information to identify persons of interest in regard to a public-safety incident. an example method includes receiving human-generated narrative statements as audio and converting the narrative statements into corresponding digital texts. the method further includes determining incriminating scores for each of the narrative statements by identifying, in the digital texts, incident information classified as not being publicly known. the method further includes determining a cumulative score for an individual based on the incriminating scores tagged to the individual, making a determination of whether the individual is a person of interest based on a comparison of the cumulative score with a fixed threshold, and performing at least one automated responsive action based on the determination.
