Processing method of learning face recognition by artificial intelligence module

A processing method of face recognition, comprising steps of:

• extracting embedding feature information from a face image;
• outputting a recognition result of a face recognition according to the embedding feature information, wherein the recognition result comprises a recognized name and embedding feature distance information;
• determining whether the recognized name is in a list or not;
• if determining that the recognized name is not in the list, performing an update checking step for adding a name information to the list;
• if the recognized name is in the list, performing a removal checking step for determining whether to remove the recognition result based on the embedding feature distance information;
• if determining that the recognition result is not to be removed, displaying the recognized name;
• if determining that the recognition result is to be removed, displaying a negative prompt;
• and
• dynamically and instantly providing a feedback and updating a recognition method for the face recognition;
• wherein, the removal checking step comprises:
• determining whether the recognition result is ambiguous or not;
• if determining that the recognition result is ambiguous, providing a plurality of candidate names for a user to select a correct name therefrom;
• if the correct name is identical to the recognized name, not updating a face information database and displaying the recognized name;
• and
• if the correct name is different from the recognized name, updating the face information database according to the correct name and the embedding feature distance information;
• wherein, the embedding feature distance information comprises an embedding feature distance, and the step of determining whether the recognition result is ambiguous or not comprises:
• if the embedding feature distance is less than a low threshold value, determining that the recognition result is not to be removed;
• if the embedding feature distance is greater than a high threshold value, determining that the recognition result is to be removed, wherein the high threshold value is greater than the low threshold value;
• and
• if the embedding feature distance is between the low threshold value and the high threshold value, determining that the recognition result is ambiguous;
• wherein, the step of providing the plurality of the candidate names comprises:
• calculating all face embedding feature information stored in the face information database to obtain a plurality of face distance information;
• sorting the face distance information;
• selecting from the face distance information to obtain N sets of the face distance information with minimum distances as candidate distance information;
• voting names corresponding to the candidate distance information;
• and
• displaying a name voting result, wherein the name voting result comprises the candidate names;
• and
• wherein, the step of updating the face information database comprises:
• removing a least approximate record with respect to the correct name from the face information database;
• and
• adding a new record with respect to the correct name to the face information database according to the embedding feature distance information.

An electronic device for performing a processing method of face recognition, wherein the electronic device comprises steps of:

• extracting embedding feature information from a face image;
• outputting a recognition result of a face recognition according to the embedding feature information, wherein the recognition result comprises a recognized name and embedding feature distance information;
• determining whether the recognized name is in a list or not;
• if the recognized name is in the list, performing a removal checking step for determining whether to remove the recognition result based on the embedding feature distance information;
• if determining that the recognition result is not to be removed, displaying the recognized name;
• if determining that the recognition result is to be removed, displaying a negative prompt;
• and
• dynamically and instantly providing a feedback and updating a recognition method for the face recognition.