18293652. EVENT DETECTION SYSTEM, EVENT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM simplified abstract (NEC Corporation)
Contents
EVENT DETECTION SYSTEM, EVENT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
Organization Name
Inventor(s)
EVENT DETECTION SYSTEM, EVENT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18293652 titled 'EVENT DETECTION SYSTEM, EVENT DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
Simplified Explanation: The patent application describes an event detection system that can detect problematic events at an ATM by comparing skeletal information of a user captured in an image with registered skeletal information of a known action.
Key Features and Innovation:
- Calculation unit compares skeletal information from captured image with registered information.
- Determination unit detects events at ATM based on similarity threshold.
- Protects user privacy while detecting problematic events.
Potential Applications: This technology can be used in:
- Security systems at ATMs.
- Monitoring systems in public places.
- Fraud detection in financial transactions.
Problems Solved:
- Detecting problematic events at ATMs.
- Protecting user privacy in surveillance systems.
Benefits:
- Early detection of suspicious activities.
- Improved security at ATMs.
- Enhanced privacy protection for users.
Commercial Applications: Title: Enhanced Event Detection System for ATMs This technology can be utilized by:
- Banks and financial institutions.
- Security companies.
- Public transportation systems.
Questions about Event Detection System: 1. How does the event detection system protect user privacy while detecting problematic events? 2. What are the potential applications of this technology beyond ATMs?
Original Abstract Submitted
An event detection system () includes: a calculation unit () that calculates a degree of similarity between at least a part of skeletal information extracted from a captured image in which a user who is visiting an ATM is captured and at least a part of registration skeletal information, the registration skeletal information being extracted from a registration image showing a phone call action of a person and being registered in an action database; and a determination unit () that determines that an event related to the ATM has been detected when the degree of similarity is equal to or greater than a predetermined threshold. Thus, a problematic event at an ATM can be easily detected while protecting privacy.
