แจ้งเอกสารไม่ครบถ้วน, ไม่ตรงกับชื่อเรื่อง หรือมีข้อผิดพลาดเกี่ยวกับเอกสาร ติดต่อที่นี่ ==>
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
หากไม่มีอีเมลผู้รับให้กรอก thailis-noc@uni.net.th
Panee Noiying. Deep learning technique for a identify TE student system by face recognition. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Deep learning technique for a identify TE student system by face recognition
Name: Kanokwan Klinieam
Organization :
King Mongkut's University of Technology North Bangkok. Teacher Training in Electrical Engineering Department
Email :
kanokwank@kmutnb.ac.th
Name: Panee Noiying
Organization :
King Mongkut's University of Technology North Bangkok. Teacher Training in Electrical Engineering Department
Email :
paneen@kmutnb.ac.th
ThaSH:
Security systems
Abstract:
In this study, we aim to measure the face recognition algorithm robustness of CiRA CORE software and identify a group of TE student with face recognition using the deep learning technique from CiRA CORE software. The one-shot problem and similar-looking face problem are robust performance tests of CiRA CORE. Thus, the number and properties images of a dataset are considered as the robustness of the CiRA CORE software. Identify TE student experiment; three detected faces that are the maximum number of faces in one frame is a condition of the experiment. The results of identify TE student experiment demonstrate that the system gains ninety percent accuracy for the camouflage test by wearing a cap and achieves one hundred percent accuracy for other camouflage problems and identify TE student test. The result of robustness and identify TE student experiment confirms face recognition algorithm CiRA CORE software is effective and robust for identify TE student system
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2025-07-14
Issued:
2025-07-14
บทความ/Article
application/pdf
BibliograpyCitation :
In Science and Technology Research Institute, King Mongkut's University of Technology North Bangkok, ECTI Association and IEEE Thailand Section. 2021 Research, Innovation, and Innovation Congress (RI2C 2021) (pp.298-302). Bangkok : Science and Technology Research Institute
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
ใช้เวลา
0.031247 วินาที
Kanokwan Klinieam
| Title | Contributor | Type |
|---|---|---|
| Deep learning technique for a identify TE student system by face recognition
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kanokwan Klinieam;Panee Noiying | บทความ/Article | |
| A machine vision approach for copper plating quality control system development
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kanokwan Klinieam;Panee Noiying | บทความ/Article |
Panee Noiying
| Title | Contributor | Type |
|---|---|---|
| Filter cancellation technique for PEMFC impedance evaulation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Hinaje, Melika.;Panee Noiying.;Wattana Kaewmanee; Rael, Stephane ;Davat, Bernard | บทความ/Article | |
| Deep learning technique for a identify TE student system by face recognition
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kanokwan Klinieam;Panee Noiying | บทความ/Article | |
| A machine vision approach for copper plating quality control system development
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kanokwan Klinieam;Panee Noiying | บทความ/Article |