Joint Development Agreement for Automatic X-ray Security Screening Image Reading Solution

Suarlab announced that it has signed a research and development agreement with Korea Airports Corporation for an automatic X-ray security screening image reading solution.

Suarlab has signed an agreement to provide its deep learning technology to the airport authority and jointly develop a solution for automatically reading X-ray security screening images, a key component of airport security. Suarlab's deep learning technology has been proven in various fields.

The Deep Learning-based X-ray security screening image automatic interpretation solution is a future-oriented security screening system that uses artificial intelligence to analyze big data accumulated during the baggage screening process to automatically interpret, detect, and classify hazardous materials. Suarlab's technology and solutions are expected to resolve security screening bottlenecks caused by the surge in passenger and baggage traffic, improve accuracy, minimize human error, and operate the system efficiently.

Suarlab CEO Song Ki-young said, “As most of our employees are researchers and developers, Suarlab’s deep learning-based machine vision technology is growing at an unprecedented rate, and our technological prowess has already been recognized in various industries. He expressed his expectations, saying, “Starting with the signing of a joint research agreement with Korea Airports Corporation, we will accelerate the provision of future technologies to the public sector as well.”

Meanwhile, Suaralab has proven the potential of its core technology overseas by winning the grand prize at Automate 2017, the world's most comprehensive automation conference featuring robots, artificial intelligence, machine vision, motion control, and other cutting-edge automation technologies, held in the U.S. in April of this year, in recognition of the commercialization potential of its artificial intelligence unmanned inspection solution.