AWS and Korean mobile operator SK Telecom will develop a new set of computer vision services to make it easier and cheaper to build, use, and scale computer vision applications. The two companies envisage their technology being used in manufacturing quality assurance and in digital agricultural applications, especially around crop health and crop classification.

The new set of computer vision services will combine SK Telecom’s artificial intelligence (AI) models, trained on more than 10 years of anonymised video data, and AWS’s edge services, IoT, database, and storage capabilities. The combination gives organisations a secure and simple framework to build and develop their own tailored computer vision applications with the flexibility to process and analyse data at the edge, in the cloud, or on premises.

“We are delighted to collaborate with AWS to accelerate our pace toward becoming a global leader in AI,” said Ha Min-yong, chief development officer at SK Telecom. “By co-developing edge computer vision services that run on AWS, we can easily and quickly produce and deploy AI and machine learning-based applications to customers globally, helping them address their business needs and challenges.”

“The combination of SK Telecom’s extensive experience in AI, paired with the elasticity, scalability, and flexibility of AWS will help accelerate AI innovation for SK Telecom and their customers globally,” said Adolfo Hernandez, vice president and general manager of telecom industry at AWS. “Collaborations like this demonstrate how AWS can support communication service providers leverage their core expertise in new ways to deliver greater value to their customers.”