竖起大拇指:一个使用机器学习的制裁调查软件

N. Velmurugan, Christika. S, Govarthini. V, K. S.
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引用次数: 0

摘要

本文提出的制裁调查程序主要关注在检查旅舍的离开授权时产生的不确定性。一个使用图像处理的程序已经被开发出来,可以在学生通过大学入口时自动检查他们的许可。在有很多学生的宿舍里,很难保持手工出游记录。学生打算在节日/政府假期外出或到家乡旅游。开发的制裁探针软件是一个小工具,可以在学生离开宿舍之前检查他们的授权。旅舍的住客必须透过“大拇指”网站,以他们的用户名,在网上提交授权表格至旅舍网站。当旅舍通过入口时,他们的账户将被验证,以确定他们是否有授权,如果没有,就会发出声音提醒。机器学习通过训练样本输入和训练图像识别模型来创建软件。
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Thumbs-Up: A Sanction Probe Software using Machine Learning
A Sanction Probe program proposed in this paper is primarily concerned with the uncertainty that arises while checking the hosteller's authorization to depart. A program that uses image processing has been developed to automatically check a student's permission as they walk through the college's entrance. In a hostel that has many students, it is difficult to maintain a manual outing record. Students intend to go on an outing or to their native during festivals/ government holidays. The developed Sanction Probe software is a gadget that checks a student's authorization before they leave the dormitory. Hostel guests are required to submit their authorization in an online form through the Thumbs-up website to the hostel's website under their username. When a hosteller walks through the entry, their accounts will be verified to determine whether they have an authorization, and a sound will alert if not. Machine learning is used to create the software by training sample inputs and training the model for image recognition.
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