A dietary nutrition analysis method based on face recognition self-service dining system
A technology of face recognition and nutrition analysis, applied in the field of artificial intelligence, can solve problems such as inability to obtain accurate data, inability to obtain nutritional content, and inability to control diet, etc., to achieve clean payment methods, avoid direct transactions of cash or credit cards, and improve health horizontal effect
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[0069] A specific embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific embodiment.
[0070] Such as figure 1 Shown, the present invention comprises the following steps:
[0071] Step 1: Data storage of nutritional information of dishes, Step 2: Setting and saving of personal data information of dining users, Step 3: Registration of dining users’ faces, binding of face recognition and payment accounts during meals, Step 4: Self-service meal pick-up on demand, Accurate measurement, step 5: senseless payment: the system automatically deducts the fee according to the weighed weight * fixed unit price of the dish in the payment account bound to the face registration, step 6: nutritional analysis.
[0072] Described step one concrete steps are as follows:
[0073] Step 11: Save all the nutritional components o...
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