ILLUVATION developed a non-contact weight measurement product using Structured-Light 3D sensor and Machine Learning and won the grand prize (President's Award) at the 2018 Agricultural and Food Startup Contest. Afterwards, we switched to Active Stereo 3D Sensor and Deep Learning due to problems with Machine Learning execution speed due to the interruption of core sensor supply and increase in farm environment, breed, and data. By investing in learning infrastructure and large-scale data collection, we are researching and developing the Weight Inference generalization model, redesigning the server AI into a NPU level field edge model, and expanding the technology scope to Industrial Physical AI.
After the success of the initial product, we resolved the sensor supply shock and machine learning scalability issues by converting to Stereo/Deep Learning, investing in data, and redesigning the NPU Edge, accumulating the following technological assets.
It is a major record of technology development, commercialization, procurement, investment/R&D, field construction, and industrial cooperation.
This is a time when the technology and business feasibility of the initial non-contact weight measurement product using Structured-Light 3D sensor and machine learning were recognized.
Viiew Product Family
