Development of a Facial Recognition Pantograph Drawing Robot

Daniel Giles, Payton Glenn, Travis Burnell, Skylar Flynn, R. Noorani
{"title":"Development of a Facial Recognition Pantograph Drawing Robot","authors":"Daniel Giles, Payton Glenn, Travis Burnell, Skylar Flynn, R. Noorani","doi":"10.1109/ICREST57604.2023.10070086","DOIUrl":null,"url":null,"abstract":"This paper describes the design and application of a solar powered drawing robot that implements face detection, image to sketch conversion, and wireless communication between the robot and the main computer. The robot has the capability to detect and capture a picture of a human face, convert the image to a sketch in the form of a series of lines, and physically draw the image on a whiteboard. Additionally, the robot can draw any selected image stored on the main computer, apply or remove shading from the image, move to a specified location away from the sketch to provide a clear area for the user to erase the board, and can draw diagnostic test rectangles to analyze the mechanical performance of the system. These robotic functions were implemented by first determining the angles and geometry of the arms required to locate a given x-y coordinatepoint. This was done using properties of triangles, as well as the known physical limitations of the pantograph's size. A CAD model of the design was created to incorporate both the calculated geometry and purchased parts, such as the servo motors, axles, and bearings. Existing open-source libraries were used to aid in facial recognition and the conversion of images to a sketch of x-y points. By utilizing the known geometry of the robot, the pen was programmed to move to specified points based on the angles of the two servo motors.","PeriodicalId":389360,"journal":{"name":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICREST57604.2023.10070086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper describes the design and application of a solar powered drawing robot that implements face detection, image to sketch conversion, and wireless communication between the robot and the main computer. The robot has the capability to detect and capture a picture of a human face, convert the image to a sketch in the form of a series of lines, and physically draw the image on a whiteboard. Additionally, the robot can draw any selected image stored on the main computer, apply or remove shading from the image, move to a specified location away from the sketch to provide a clear area for the user to erase the board, and can draw diagnostic test rectangles to analyze the mechanical performance of the system. These robotic functions were implemented by first determining the angles and geometry of the arms required to locate a given x-y coordinatepoint. This was done using properties of triangles, as well as the known physical limitations of the pantograph's size. A CAD model of the design was created to incorporate both the calculated geometry and purchased parts, such as the servo motors, axles, and bearings. Existing open-source libraries were used to aid in facial recognition and the conversion of images to a sketch of x-y points. By utilizing the known geometry of the robot, the pen was programmed to move to specified points based on the angles of the two servo motors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人脸识别受电弓绘图机器人的研制
本文介绍了一种太阳能绘图机器人的设计与应用,该机器人实现了人脸检测、图像到草图的转换以及与主计算机之间的无线通信。该机器人具有检测和捕捉人脸图像的能力,将图像转换为一系列线条形式的草图,并在白板上物理绘制图像。此外,机器人可以绘制存储在主计算机上的任意选择图像,对图像进行涂抹或去除阴影,移动到远离草图的指定位置,为用户擦除板提供清晰的区域,并可以绘制诊断测试矩形以分析系统的机械性能。这些机器人功能是通过首先确定定位给定x-y坐标点所需的手臂的角度和几何形状来实现的。这是利用三角形的属性,以及已知的受电弓尺寸的物理限制来完成的。设计的CAD模型被创建,以结合计算的几何形状和购买的零件,如伺服电机,轴和轴承。现有的开源库被用来帮助进行面部识别,并将图像转换为x-y点的草图。通过利用机器人已知的几何形状,根据两个伺服电机的角度对笔进行编程,使其移动到指定的点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design and Implementation of a Low-cost Solar Charged Portable Disinfectant Chamber Feasibility Analysis of Off-Grid Hybrid Renewable Energy for Rohingya Refugee in Bhasan Char Development of a Facial Recognition Pantograph Drawing Robot Smart System To Monitor and Control Transformer Health Condition in Sub-Station Design and Implementation of a Smart Wind Turbine with Yaw Mechanism
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1