18508449. SYSTEM FOR REAL-TIME OVERLOAD DETECTION USING IMAGE PROCESSING ANALYSIS simplified abstract (Bank of America Corporation)

SYSTEM FOR REAL-TIME OVERLOAD DETECTION USING IMAGE PROCESSING ANALYSIS

Organization Name

Bank of America Corporation

Inventor(s)

Maharaj Mukherjee of Poughkeepsie NY (US)

Carl M. Benda of Kannapolis NC (US)

Elvis Nyamwange of Little Elm TX (US)

Utkarsh Raj of Charlotte NC (US)

Suman Roy Choudhury of Berkeley Heights NJ (US)

Vidya Srikanth of Sunnyvale CA (US)

Colin Murphy of Charlotte NC (US)

SYSTEM FOR REAL-TIME OVERLOAD DETECTION USING IMAGE PROCESSING ANALYSIS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18508449 titled 'SYSTEM FOR REAL-TIME OVERLOAD DETECTION USING IMAGE PROCESSING ANALYSIS

Simplified Explanation

The patent application describes a system for real-time overload detection using image processing analysis. Here are some key points to note:

• The system receives images associated with a device's resiliency status.
• A machine learning subsystem deploys a trained ML model on the images to determine changes in the device's resiliency status.
• Notifications are generated to indicate changes in the device's resiliency status.
• Control signals are transmitted to display the notifications on a user input device.

Potential Applications

This technology could be applied in various industries where real-time monitoring of device resiliency is crucial, such as manufacturing, healthcare, and transportation.

Problems Solved

This technology helps in detecting overloads in devices in real-time, allowing for timely intervention and maintenance to prevent system failures or accidents.

Benefits

The system provides a proactive approach to device maintenance, reducing downtime and improving overall system efficiency. It also enhances safety by detecting potential issues before they escalate.

Potential Commercial Applications

A potential commercial application of this technology could be in the development of monitoring systems for industrial machinery, medical equipment, or autonomous vehicles.

Possible Prior Art

One possible prior art for this technology could be existing image processing systems used for monitoring equipment performance in various industries.

How does the system handle false alarms in overload detection?

The article does not mention how the system differentiates between actual overloads and false alarms to ensure accurate detection.

What is the scalability of the system for monitoring multiple devices simultaneously?

The scalability of the system for monitoring a large number of devices at the same time is not addressed in the article.

Original Abstract Submitted

Systems, computer program products, and methods are described herein for real-time overload detection using image processing analysis. The present disclosure is configured to receive a first set of images associated with a device, wherein the one or more images are associated with a resiliency status of the device; deploy, using a machine learning (ML) subsystem, a trained ML model on the first set of images of the device; determine, using the trained ML model, a change in the resiliency status of the device based on the first set of images; and generate a notification indicating the change in the resiliency status of the device; and transmit control signals configured to cause a first user input device to display the notification.