TY - JOUR
AU - Wu, J Y
AB - In daily life, there are often simple but fatal mistakes. Such as when go driving to someplace, after closing the vehicle door with a traditional vehicle key which is so easily damaged, missed, or lost, then becomes a significant issue. To overcome this problem, a modern system in opening vehicle door locks with a face recognition system using a smartphone was introduced. This face recognition software use combined with a D1 mini control system to open the control lock in the smartphone. The research method is principal component analysis (PCA), which is mainly divided into two steps, training, and recognition, respectively. In the research of face recognition, also used PCA to find important parameters, and use the eigenvalues and feature vectors of the oblique variance matrix of face features as value, and use this as a basis for recognition, then face recognition be successful. This research establishes a software and hardware vehicle door verification system. Using the phone to unlock the door, this research uses the vehicle door to display, when face recognition successful, the door lock will be unlocked then the user can open the door. Using the face recognition system to open the door has higher security, and without bringing the key to go out, it is making life more convenient.
TI - Face recognition unlocking uses principal component analysis to control the vehicle door system
JF - Journal of Physics: Conference Series
DO - 10.1088/1742-6596/2020/1/012028
DA - 2021-09-01
UR - https://www.deepdyve.com/lp/iop-publishing/face-recognition-unlocking-uses-principal-component-analysis-to-HiVUyf1AHN
VL - 2020
IS - 1
DP - DeepDyve
ER -