Detection System for Real-time Human Body

A detection system and human body technology, which is applied in the field of face recognition, can solve the problems that the face image cannot be captured in all aspects, which affects the efficiency and accuracy of face recognition, so as to improve the accuracy, quality, and human The effect of face recognition efficiency

Inactive Publication Date: 2019-01-15
NINGBO UNIVERSITY OF TECHNOLOGY
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the development and promotion of artificial intelligence equipment, the application of electronic equipment to obtain face images is becoming more and more widespread. However, when people walk with their heads down and play with mobile phones, it will directly affect the quality of electronic equipment to obtain facial images. Therefore, the existing electronic equipment Face images cannot be captured in all aspects, which directly affects the efficiency and accuracy of face recognition

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
  • Detection System for Real-time Human Body
  • Detection System for Real-time Human Body

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments: the real-time human body detection system includes a gear shaft 1, which is characterized in that: the gear shaft 1 is fixed on the wall, and the gear shaft is provided with a first Support rod 2, the second support rod 4, one end of the first support rod 2, the second support rod 4 is respectively provided with the first detection camera 3, the second detection camera 5, the first detection camera 3, the second detection camera The camera 5 includes an image acquisition module 60, a judgment processing module 61, a rotation module 62, and a face recognition module 63. The gear shaft 1 can rotate to drive the first detection camera 3 and the second detection camera 5 to rotate 360 ​​degrees.

[0015] The gear shaft 1 can rotate to drive the first detection camera 3, and the second detection camera 5 can collect face images at any angle i...

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

The invention relates to a detection system for real-time human body, including gear shafts, the gear shaft is fixedly arranged on the wall surface, a first support bar and a second support bar are arranged on the gear shaft, the first support bar, one end of the second support bar is respectively provided with a first detection camera, second detection camera, the first detection camera, an imageacquisition module,a judgment processing module,a rotating module, a face recognition module are included in the second detection camera. The gear shaft can rotate and drive the first detection camera, as the second detect camera rotates at 360 degrees, compared with the prior art, the present invention improves the face recognition efficiency, and collects a face image of a person through the detecting camera rotates at 360 degrees, further improving the quality of acquiring the face image, thereby improving the face recognition accuracy.

Description

technical field [0001] The invention belongs to the technical field of face recognition, in particular to a real-time human body detection system. Background technique [0002] At present, face recognition technology has gradually become a low-level application tool technology with the maturity of conditions such as cameras, algorithms, and data volume, and has been continuously popularized. [0003] Among them, the face recognition technology is characterized by convenient feature collection and sanitation. In the prior art, the face recognition process usually includes several steps: image acquisition, image processing, feature extraction and face recognition. Wherein, the image acquisition step is used to obtain the face image; the image processing step is used to perform preprocessing on the face image such as curved noise and face alignment; the feature extraction step is used to extract the person in the pre-processed image according to a preset model. Face features: ...

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): G06K9/00G06K9/20
CPCG06V40/166G06V10/10
Inventor 安鹏郑悠徐力
Owner NINGBO UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products