17984319. VOICE SURVEILLANCE SYSTEM USING ENHANCED METADATA AND GEOTAGGING CAPABILITIES simplified abstract (Bank of America Corporation)
Contents
- 1 VOICE SURVEILLANCE SYSTEM USING ENHANCED METADATA AND GEOTAGGING CAPABILITIES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VOICE SURVEILLANCE SYSTEM USING ENHANCED METADATA AND GEOTAGGING CAPABILITIES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
VOICE SURVEILLANCE SYSTEM USING ENHANCED METADATA AND GEOTAGGING CAPABILITIES
Organization Name
Inventor(s)
Michael Young of Davidson NC (US)
VOICE SURVEILLANCE SYSTEM USING ENHANCED METADATA AND GEOTAGGING CAPABILITIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17984319 titled 'VOICE SURVEILLANCE SYSTEM USING ENHANCED METADATA AND GEOTAGGING CAPABILITIES
Simplified Explanation
The patent application describes apparatus, methods, and systems for voice surveillance using enhanced metadata and geotagging capabilities. Communications are monitored for anomalies, which are identified as communications outside of a regular pattern. Factors used to identify anomalies include number of communications per time period, geolocation, and communicative party identification. Stakeholders are alerted about anomalous communications, and labeled communications are used to create training data for an artificial intelligence engine.
- Voice surveillance using enhanced metadata and geotagging capabilities
- Monitoring communications for anomalies
- Factors used to identify anomalies
- Alerting stakeholders about anomalous communications
- Creating training data for artificial intelligence engine
Potential Applications
This technology could be used in law enforcement for monitoring suspicious communications, in cybersecurity for detecting unauthorized access, and in business settings for ensuring compliance with communication policies.
Problems Solved
This technology helps in identifying anomalous communications that may indicate security threats, unauthorized access, or policy violations. It provides a proactive approach to monitoring and addressing potential risks.
Benefits
The benefits of this technology include improved security, early detection of threats, enhanced compliance monitoring, and efficient communication analysis. It helps in maintaining a secure and compliant communication environment.
Potential Commercial Applications
Potential commercial applications of this technology include security software development, communication monitoring services, compliance management solutions, and AI-powered surveillance systems for various industries.
Possible Prior Art
One possible prior art could be traditional voice surveillance systems that monitor communications for specific keywords or phrases without the use of enhanced metadata and geotagging capabilities.
Unanswered Questions
How does the system ensure the privacy and security of the monitored communications?
The patent application does not provide details on the privacy and security measures implemented to protect the monitored communications from unauthorized access or misuse.
What are the potential limitations or challenges of implementing this technology in real-world scenarios?
The patent application does not address the potential limitations or challenges that may arise when implementing this technology, such as false positives, data privacy regulations, or technical constraints.
Original Abstract Submitted
Apparatus, methods and systems for voice surveillance using enhanced metadata and geotagging capabilities are provided. Systems may monitor communications being transmitted from, and being received at, entity devices. The communications may be monitored for anomalies. The anomalies may be identified as communications outside of a regular pattern of communications. Various factors may be used to identify the anomalous communications. The factors may include a number of communications per predetermined time period, a geolocation of the communication, identification of a second communicative party of the communication and any other suitable factors. Stakeholders may be alerted regarding any anomalous communications. Additionally, once the communications have been labeled as anomalous or non-anomalous, the labeled communications may be used to create and/or update a set of labeled training data. The created and/or updated set of labeled training data may be used in an artificial intelligence engine that labels communications as anomalous or non-anomalous.
