Case studies and development examples using image recognition AI
Presented byTRIPLEIZE CO., LTD.
I would like to talk about examples of corporate solutions utilizing image recognition AI. At Tripleize, we started our AI research with the development of Go AI. Since 2014, we have been challenging the World Go AI Championships, competing against global companies. In 2019, we achieved second place and, having attained certain results, we built an image recognition platform that same year. This platform, 'AIZE,' is currently used primarily for facial recognition services, with over 100,000 IDs registered across Japan. It has been adopted in the attendance management systems of Setagaya Ward and major supermarket chain York-Benimaru."
Furthermore, Tripleize's image recognition AI is active in a wide range of fields, including not only facial recognition but also human body recognition, plant recognition, and object recognition.
Speaker
TRIPLEIZE CO., LTD.
Chief Technology Officer (CTO)
Hiroya Katabuchi
Main engineer of the image recognition platform, AIZE. Joined Tripleize in 2016. In the same year, he engaged in various corporate projects and the development of a music streaming recommendation service using AI, primarily focusing on AI research and development and building learning architectures. In 2017, he was responsible for determining specifications for proof-of-concept experiments, infrastructure design, and application development in a joint research project with a university using a cloud-based IoT motor management system. As the leader of the AI engineer training service 'AT20,' he is involved in creating curricula and materials, while also actively serving as the manager for Go AI software development and giving lectures to other companies.