"96% Accuracy" KT's 'AI Food Tag' Certified in AI Quality Test
‘AI Food Tag’, Proven Excellence in AI Model Performance
Facilitates Diet Management with AI Video Technology
National Project to Apply Diet Management Solution Planned
On the 14th, KT announced that its AI-based dietary management solution, 'AI Food Tag,' received AI quality/testing certification from the Korea Artificial Intelligence Certification Center (KORAIA CC). 'AI Food Tag' is a dietary management solution that uses AI image technology to recognize the types of food in photos and then analyzes nutritional components to assist in precise nutrition management. A pre-trained model trained on large-scale image data is applied, enabling it to recognize various food types with similar colors and shapes.
The Korea Artificial Intelligence Certification Center guarantees the qualitative level of AI businesses and technologies by implementing eight types of certifications. Among them, the AI quality/testing certification verifies the validation data of the developed AI model and the validity of the model's performance. KT's 'AI Food Tag' solution classified 1,000 types of food images with approximately 96% accuracy. It not only recognizes food types but also analyzes and provides nutritional components and calorie information, making it useful for managing diets of patients with chronic diseases such as diabetes.
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KT plans to utilize the 'AI Food Tag' solution in the national project 'Development of XR Twin Technology for Diabetes Management Based on Continuous Glucose Monitoring and Life-Logging,' which involves various medical partners. Through this, KT aims to help diabetes patients manage their diets easily and conveniently and to advance digital therapeutics technology for diabetes patients. Bae Soon-min, Senior Executive Director of KT Convergence Technology Institute AI2XL Research Center, stated, "KT will continue to strive for technological development to expand digital healthcare services."
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