A novel system enabling high-accuracy classification of previously unseen object types through a trained learning model. Acquires photo of target object, calculates classification degree via pre-trained ML model correlating image data with object categories, and outputs results alongside the source image — forming the foundational layer of ValueLens's visual recognition engine.