Face recognition method and edge device
AssigneeDigital System Integration Co., Ltd.
InventorsYu-Kai Kuan, Yu-Che Tsai
Life of this patent
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Abstract
A face recognition method for an edge device is provided. Firstly, a recognition data is received from a computing device through a wireless network. Then, a trained model is retrieved from the recognition data. Then, the trained model is stored. Then, a face detection operation is performed to acquire a face image and a face temperature of a detected face. When the face temperature is within a human body temperature range and the face image complies with the trained model, the edge device confirms that the detected face is a face of a real person and the real person is a known user.
Claims15
A face recognition method for an edge device, the face recognition method comprising steps of:
- receiving a recognition data from a computing device through a wireless network;
- retrieving a trained model from the recognition data;
- storing the trained model;
- performing a face detection operation to acquire a face image and a face temperature of a detected face;
- and
- when the face temperature is within a human body temperature range and the face image complies with the trained model, confirming that the detected face is a face of a real person and the real person is a known user.
An edge device, comprising:
- a control module;
- a wireless communication module connected with the control module, wherein the wireless communication module receives a recognition data from a computing device through a wireless network, and the control module retrieves a trained model from the recognition data;
- a storage module connected with the control module, wherein the trained model is stored in the storage module;
- an image capture module connected with the control module, wherein the image capture module captures a detected face to acquire a face image;
- and
- a temperature sensor connected with the control module, wherein the temperature sensor senses a face temperature of the detected face,
- wherein when the face temperature is higher than 35 degrees Celsius and lower than 42 degrees Celsius and the face image complies with the trained model, the control module confirms that the face is a face of a real person and the real person is a known user.
Dependencies are inferred from the claim text.