Human face recognition integrated machine based on deep learning algorithm

Abstract

The invention discloses a human face recognition integrated machine based on a deep learning algorithm. The machine comprises a main body and an identification main box; a control screen is fixedly mounted on the outer surface of the front end of the main body; a switch is arranged on the outer surface of one side of the main body; an indicating lamp is arranged in a position, located on one sideof the switch, of one side of the main body; a USB interface is arranged on the outer surface of the other side of the main body; an audio interface is formed in a position, located on one side of theUSB interface, of the other side of the main body; and a heat dissipation opening is formed in a position, located on one side of the audio interface, of the other side of the main body. According tothe human face recognition integrated machine based on the deep learning algorithm, a roller shaft, a photosensitive sensor and a plane mirror are arranged, so that human face recognition can be conveniently carried out on different people, the power of the machine can be saved, the waste of electric power resources is avoided, people can be more conveniently recognized during human face recognition, and the machine is suitable for different work and brings a better application prospect.

Description

technical field [0001] The invention belongs to the field of all-in-one machines, in particular to a face recognition all-in-one machine based on a deep learning algorithm. Background technique [0002] The face recognition all-in-one machine based on deep learning algorithm is a face recognition device used for deep learning algorithm. Through the all-in-one machine, people's facial features can be scanned and compared to determine a person's identity information; the existing The face recognition all-in-one machine based on the deep learning algorithm has certain disadvantages in use. The all-in-one machine is not convenient for face recognition of different groups of people, and the face recognition efficiency is poor. The recognition screen of the all-in-one machine cannot change the brightness according to external conditions, and When people perform face recognition, it may cause unrecognizable phenomena, which will have a certain impact when using it. For this reason,...

AI Technical Summary

Problems solved by technology

[0002] The face recognition all-in-one machine based on deep learning algorithm is a face recognition device used for deep learning algorithm. Through the all-in-one machine, people's facial features can be scanned and compared to determine a person's identity information; the existing The face recognition all-in-one machine based on the deep learning algorithm has certain disadvantages in use. The all-in-one machine is not convenient for face recognition of different groups of people, and the face recognition efficiency is poor. The recognition screen of the all-in-one machine cannot change the brightness according to external conditions, and When people perform face recognition, it may cause unrecognizable phenomena, which will have a certain impact when using it. For this reason, we propose a face recognition all-in-one machine based on deep learning algorithms.

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