Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Face recognition all-in-one machine based on deep learning algorithm

A face recognition and deep learning technology, applied in the field of face recognition all-in-one machine, can solve the problems of inconvenient face recognition for different groups of people, the brightness of the recognition screen cannot be changed, and the face recognition efficiency is poor, so as to achieve convenient operation and simple structure. , good effect

Pending Publication Date: 2021-07-16
廖新威
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Face recognition all-in-one machine based on deep learning algorithm
  • Face recognition all-in-one machine based on deep learning algorithm
  • Face recognition all-in-one machine based on deep learning algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0018] Such as Figure 1-4 As shown, a face recognition all-in-one machine based on a deep learning algorithm includes a main body 1 and a recognition main box 12. A control panel 2 is fixedly installed on the outer surface of the front end of the main body 1, and a switch 3 is provided on one side of the outer surface of the main body 1. One side of the main body 1 is located at the position of one side of the switch 3 and is provided with an indicator light 4, and the outer surface of the other side of the main body 1 is provided with a USB interface 5, and the other side of the main body 1 is located at the position of one side of the USB interface 5. Audio interface 6, the other side of the main body 1 is located on one side of the audio inter...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A face recognition all-in-one machine based on a deep learning algorithm disclosed by the present invention comprises a main body and a recognition 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, and an indicating lamp is arranged at the position, located on one side of 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 arranged at the position, located on one side of the USB interface, of the other side of the main body, and a heat dissipation opening is formed in the position, located on one side of the audio interface, of the other side of the main body. According to the face recognition all-in-one machine based on the deep learning algorithm, the roll shaft, the photosensitive sensor and the plane mirror are arranged, face recognition can be conveniently conducted on different crowds, machine power can be saved, waste of power resources is avoided, people can conduct face recognition more conveniently, the face recognition all-in-one machine is suitable for different kinds of work and brings a better use prospect is brought.

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,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G06N3/08
CPCG06N3/08G06V40/16
Inventor 廖新威
Owner 廖新威
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products