Raon People Supports Production of Drama 'Sisyphus'

[Asia Economy Reporter Hyunseok Yoo] AI specialist company Raon People announced on the 18th that it has supported the production of the drama "Sisyphus."

JTBC's Wednesday-Thursday drama "Sisyphus" is a fantasy mystery drama (16 episodes) depicting the journey of genius engineer Han Tae-sul (Jo Seung-woo), who believes that an unknown entity is hiding its identity in this world, and Kang Seo-hae (Park Shin-hye), his savior. The drama will feature cutting-edge technologies including AI traffic solutions.

A marketing representative from Raon People explained, "Sisyphus, which recorded a peak viewership rating of 8% per minute from its first broadcast, utilizes Raon People's AI signal control and traffic analysis system as well as pedestrian recognition solutions. Advanced AI solutions such as facial recognition scenes of the female lead and vehicle recognition systems will be naturally exposed."

The representative added, "Through supporting drama production, we expect various synergies including corporate promotion, informing viewers how conveniently AI technology is used in real life, attracting new client companies interested in adopting related technologies, increasing sales, and expanding into the global market. Since the drama is simultaneously aired on JTBC and Netflix, we anticipate the effect of promoting Raon People's AI solutions worldwide in real time."

As a leading AI company, Raon People is showcasing advanced AI technologies that will open future transportation infrastructure, such as the Pangyo Autonomous Driving Center convergence sensor development project, the Sejong Smart City and Gwangju Metropolitan City C-ITS (Intelligent Transport System) pilot projects for autonomous driving, and building AI traffic solutions equipped with deep learning algorithms at the Indeokwon intersection in Anyang City. Recently, it has been conducting various AI projects by applying AI machine vision technology to autonomous vehicles, including traffic signal detection, reading and analyzing the flow of surrounding vehicles and pedestrians during driving, and recognizing traffic signs.