OpenCV-based automatic face recognition book sorting and shelving robot system

A robot system and automatic sorting technology, applied in character and pattern recognition, instruments, sorting, etc., can solve the problems of wasting reading time and insufficient reading time, and achieve the effect of improving recognition speed and accuracy

Inactive Publication Date: 2020-08-25
NANTONG UNIVERSITY
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Originally, readers did not have enough reading time, and many traditional libraries borrow and ret...

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
  • OpenCV-based automatic face recognition book sorting and shelving robot system
  • OpenCV-based automatic face recognition book sorting and shelving robot system
  • OpenCV-based automatic face recognition book sorting and shelving robot system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0031] The face recognition of the present invention is mainly composed of three parts: face detection, face representation, and face recognition. When people borrow or return books, the face images collected are generally frontal faces, so the Adaboost face detection algorithm is applied in face detection. The algorithm is based on integral graph, cascaded detectors and Adaboost algorithm, which can detect frontal faces quickly and with high recognition accuracy.

[0032] Such as Figure 5 As shown in the schematic diagram of the invented AdaBoost face positioning detection process, the specific implementation steps of the AdaBoost face detection algorithm are as follows:

[0033] A. Enter a training set (x 1 ,y 1 ),(x 2 ,y 2 ),KK,(x i ,y i ),KK(x n ,y n ), where x i is the i-th sample, y i is the sample target, y i ∈(0, 1); where 0, 1 denote positive and negative targets, respectively. In face detection, 0 can be regarded as a non-human face, and 1 can be regard...

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 discloses an OpenCV-based automatic face recognition book sorting and shelving robot system. The invention relates to a library book automatic sorting and shelving robot which integratesthe work of borrowing, returning, checking, classifying, shelving and the like of books. An OpenCV-based face recognition technology is introduced for a reader to borrow or return books. The full name of OpenCV is an Open Source Computer Vision Library. OpenCV can easily process image output and input, memory allocation and conversion, matrix operation, linear operation, support for multiple dynamic data structures, basic image processing work, structure analysis algorithm, camera calibration algorithm, motion analysis of target objects, visualization, image labeling and the like of images.

Description

technical field [0001] The invention belongs to a novel library service robot, and in particular relates to an OpenCV-based automatic sorting and shelf robot system for books with facial recognition. The book automatic sorting robot applies facial recognition technology to local or university libraries, and can complete a series of tasks such as book borrowing, return, inventory, classification, and loading and unloading. Background technique [0002] With the rapid development of society and people's needs for a better life, the library has become an important place for readers to make up for their own deficiencies and acquire knowledge in all aspects after studying and working. Originally, readers did not have enough reading time. Traditional libraries borrow and return books manually, so readers will waste a lot of precious reading time in borrowing and returning books. [0003] In response to this problem, we have introduced facial recognition technology into the automa...

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): B07C3/02B07C3/10G06K9/00G06K9/46
CPCB07C3/02B07C3/10G06V40/166G06V10/462
Inventor 杨奕高龙任晓琳顾海勤于婧雅韩青青
Owner NANTONG UNIVERSITY
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