KR-20260066910-A - Vision program for development and management of new BIT screen configuration

Abstract

This is the development of a program that allows a computer to monitor the LED screen of a bus information display instead of a human, as a method of detecting abnormalities by attaching a small camera. By developing a program that enables monitoring management using computer vision technology, data such as the location where the BIS is installed, the time, and the problem screen are automatically saved when a problem occurs, and notifications are provided to the administrator. The development of this program creates an environment where monitoring of BIS nationwide is possible with minimal personnel, and immediate response is possible in the event of problems. Develop a configuration screen for providing information related to autonomous driving.

Inventors

• 김민성

Assignees

• (주)케이앤에프컴퍼니

Dates

Publication Date

20260512

Application Date

20241105

Claims (1)

1. Development of autonomous driving traffic information display screen configuration and development of a program applying vision technology that enables a computer to manage BIT LED screen issues without human monitoring.

Description

Vision program for development and management of new BIT screen configuration A BIT (Bus Information Terminal) is a bus stop information display that provides bus-related information to the public via LED screens, and this is a technology field related to BIT development. Computer vision is a technology that identifies objects in digital images and videos. By designing neural networks to perform recognition based on the structure of the mammalian visual cortex, not only pure neural networks but also hybrid visual models are possible. Hybrid models combine deep learning with classical machine learning algorithms that perform specific sub-tasks. Computer vision algorithms primarily rely on CNNs, which typically use convolutional layers, pooling layers, ReLU layers, total connection layers, and loss layers to simulate the visual cortex. We develop a data comparison module that compares data transmitted from an LED screen with video data from a small camera attached to a BIT. We will develop a program that automatically saves the location where the BIT is installed, the time of the problem, and the problem data when a problem occurs during data comparison, and sends a notification text message to the administrator to enable immediate verification of the saved data.