반도체 AI 보안 인더스트리 4.0 SDV 스마트 IoT 컴퓨터 통신 특수 가스 소재 및 장비 유통 e4ds plus

Seocho-gu Smart City introduces 'thermal imaging camera' to prevent nighttime accidents

기사입력2022.04.22 13:56


▲ Teledyne Flir is collaborating with the public to contribute to the public good by providing thermal imaging cameras to the Seocho-gu AI training data set construction project.


A total of 17 FLIR 'thermal imaging cameras' for smart cities introduced
Capable of obtaining image data sets in low-light environments at night

Teledyne FLIR Korea, a global thermal imaging specialist, has pledged to actively cooperate so that its thermal imaging cameras can contribute to the public good by providing data sets for AI learning in Seocho-gu.

Teledyne FLIR Korea, a global thermal imaging company, announced that its FLIR DM-Series thermal imaging cameras have been selected for a project to build an AI learning data set for implementing a smart city in Seocho-gu.

Seocho-gu introduced the FLIR DM-Series multi-sensor security solution to secure image data sets in low-light environments at night that are difficult to acquire with general CCTV or near-infrared (NIR) cameras.

The data collected through this will be used as AI learning data for situational analysis of night-time accidents in urban areas.

Meanwhile, Seocho-gu completed the “Building a Dataset for Measuring Urban Congestion Using BirdsEye View” project in 2020, and the government is implementing it as part of its policy to secure national competitiveness and boost the economy.It has been selected as the main business operator for the second consecutive year in the project to build an AI learning data set that is currently being promoted.

Seocho-gu said that existing CCTVs had limitations in analyzing the situation at night when the lighting is low, and that it reviewed near-infrared (NIR) cameras and thermal imaging cameras as candidate solutions to replace CCTV for nighttime monitoring, ultimately selecting FLIR's DM-Series thermal imaging cameras.

In addition, Seocho-gu introduced a total of 17 FLIR DM-624 thermal imaging cameras and installed them in various locations, including downtown areas, residential areas, parks, and riversides in Seocho-gu.

As a result, we secured more than 1 million meaningful thermal image labeling data from 54 regions.

In the future, the data will be used as AI learning data for situational analysis of night-time accidents in urban areas, and the thermal imaging camera will be used to secure more learning data through night-time control and for smart city services.

“The FLIR DM-Series thermal imaging cameras, although more expensive, met the performance and functional requirements for our project, including their high resolution of 640 x 512,” said Dong-Hyeon Lim, manager of the Smart City Service Team at the Smart City Division of Seocho-gu Office. “When used together with the Raven security camera design tool available on the FLIR website, it provided an opportunity to intuitively check the pixel size according to the field of view and distance before purchase, and to review the possibility of expressing actions, which was very useful. Above all, the ability to guarantee a quick delivery time to complete the project on schedule was also an important consideration in selecting FLIR equipment.”

“We are delighted that FLIR DM-Series thermal imaging cameras have been selected to build an AI training data set for implementing a smart city in Seocho-gu,” said Dong-dong Lee, CEO of Teledyne FLIR. “We are particularly honored that FLIR’s thermal imaging technology can now support government policies to secure national competitiveness and stimulate the economy, as well as local governments’ efforts to ensure the safety of their citizens,” he said. “We will continue to provide active support and cooperation so that FLIR’s technology and solutions can contribute to greater public good.”

#AI