18490386. METHOD AND SYSTEM FOR DIFFERENTIATING QOS OF INTER-MICROSERVICE COMMUNICATION simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
METHOD AND SYSTEM FOR DIFFERENTIATING QOS OF INTER-MICROSERVICE COMMUNICATION
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
METHOD AND SYSTEM FOR DIFFERENTIATING QOS OF INTER-MICROSERVICE COMMUNICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18490386 titled 'METHOD AND SYSTEM FOR DIFFERENTIATING QOS OF INTER-MICROSERVICE COMMUNICATION
The patent application describes a method and device for tagging training data using artificial intelligence to detect and track objects in a video, splitting objects when necessary, and merging identical objects.
- Detect and track objects in a video using artificial intelligence.
- Split objects into object units when needed.
- Merge identical objects among split objects.
Potential Applications: This technology can be used in video surveillance systems, autonomous vehicles, and robotics for object detection and tracking.
Problems Solved: This technology addresses the need for efficient tagging of training data for object detection and tracking systems.
Benefits: The method provides a more accurate and streamlined process for tagging training data, improving the performance of object detection and tracking systems.
Commercial Applications: "Enhanced Object Detection and Tracking Method for Video Surveillance Systems"
Prior Art: There are existing methods for object detection and tracking using artificial intelligence, but the specific process of splitting and merging objects as described in this patent application is innovative.
Frequently Updated Research: There may be ongoing research in the field of artificial intelligence for object detection and tracking that could impact the development of this technology.
Questions about Object Detection and Tracking: 1. How does this technology improve the efficiency of tagging training data for object detection systems? 2. What are the potential limitations of using artificial intelligence for object detection and tracking in real-world applications?
Original Abstract Submitted
Provided are a device and method for tagging training data. The method includes detecting and tracking one or more objects included in a video using artificial intelligence (AI), when there is an object to be split in a result of tracking the detected objects, splitting the object in object units, and when there are identical objects to be merged among split objects, merging the objects.
