TY - GEN
T1 - Face recognition in office environments with Google AIY Vision Kit
AU - Hernandez, Angel
AU - Ornelas, Francisco
AU - Hurtado, Juan
AU - Gonzalez, Joel
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The following document shows the design, development, and implementation of a computer vision system for face detection through convolutional neural networks. This system was first developed on a PC and then implemented in an embedded system such as the Google AIY Vision Kit; This kit is a powerful tool for working with machine and deep learning, as well as having an affordable cost. The main application of this system is for the surveillance of places with restricted access, such as laboratories, warehouses, offices. The methodology for the development of this system was: design the network, obtain a database for training, train the network, and test the performance of the system.
AB - The following document shows the design, development, and implementation of a computer vision system for face detection through convolutional neural networks. This system was first developed on a PC and then implemented in an embedded system such as the Google AIY Vision Kit; This kit is a powerful tool for working with machine and deep learning, as well as having an affordable cost. The main application of this system is for the surveillance of places with restricted access, such as laboratories, warehouses, offices. The methodology for the development of this system was: design the network, obtain a database for training, train the network, and test the performance of the system.
KW - computer vision
KW - neural networks
KW - security systems
KW - single-board computer
UR - http://www.scopus.com/inward/record.url?scp=85084638278&partnerID=8YFLogxK
U2 - 10.1109/iCASAT48251.2019.9069514
DO - 10.1109/iCASAT48251.2019.9069514
M3 - Contribución a la conferencia
AN - SCOPUS:85084638278
T3 - 2019 IEEE International Conference on Applied Science and Advanced Technology, iCASAT 2019
BT - 2019 IEEE International Conference on Applied Science and Advanced Technology, iCASAT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Applied Science and Advanced Technology, iCASAT 2019
Y2 - 27 November 2019 through 28 November 2019
ER -