Design aspects of CMOS compatible on-chip antenna for applications of contact-less smart card are discussed.An on-chip antenna model is established and a design method is demonstrated.Experimental results show that sy...Design aspects of CMOS compatible on-chip antenna for applications of contact-less smart card are discussed.An on-chip antenna model is established and a design method is demonstrated.Experimental results show that system-on-chip integrating power reception together with other electronic functions of smart card applications is feasible.In a 6×10 -4T magnetic field of 22.5MHz,an on-chip power of 1.225mW for a 10kΩ load is obtained using a 4mm2 on-chip antenna.展开更多
Palm vein hidden under the skin and its distribution feature is hard to be stolen, which makes the palm vein recognition to be a high security biometric authentication method. Contact-less palm vein imaging can avoid ...Palm vein hidden under the skin and its distribution feature is hard to be stolen, which makes the palm vein recognition to be a high security biometric authentication method. Contact-less palm vein imaging can avoid the spread of disease, thus expanding the application range of palm vein biometric authentication devices. However, due to the different un-derstanding of the right imaging position and the change of fingers open degree, contact-less palm vein image acquisi-tion led to a certain degree of translation, rotation, scaling and shear, that is, the image deformation. Image deformation causes the imaging feature unstable. In this paper, the effect of image deformation to the stability of palm vein features is studied by some similarity parameters. First, feature points in the palm were marked, contact-less imaging and con-tact imaging of palm vein were acquired. Then, this paper calculated the similarity parameters of the contact-less imag-ing to contact imaging and gave corresponding analysis. Experimental results show that contact-less palm vein imagingwas stable, and derived the linear regression equation of relationship between sample space and the recognition rate: y =?0.000903x + 1.0332, coefficient of determination R2 = 0.9824. This research provided effective and detailed data to the study of contact-less palm vein recognition and gave powerful support to contact-less multi-feature fusion recogni-tion based on hand.展开更多
To solve the problems of traditional garbage classification relying on manual work,low recognition accuracy,and unhygienic contact-based disposal,an inductive intelligent garbage recycling system based on a micro-cont...To solve the problems of traditional garbage classification relying on manual work,low recognition accuracy,and unhygienic contact-based disposal,an inductive intelligent garbage recycling system based on a micro-controller is designed.The system takes STM32F103ZET6 as the core,integrates speech recognition,visual recognition,and infrared induction modules,and adopts a dual recognition fusion strategy of“speech priority+visual verification”to realize con-tactless induction lid opening,accurate garbage classification,and remote status monitoring functions.Speech recognition completes keyword matching through the LD3320 module,visual recognition realizes image feature extraction and classification based on the BP neural network,and the ESP8266 module is responsible for uploading device status to the Cloud platform.It is applicable to multiple scenarios such as households and communities,effectively improving the efficiency and convenience of garbage classification,and has good practical value.展开更多
文摘Design aspects of CMOS compatible on-chip antenna for applications of contact-less smart card are discussed.An on-chip antenna model is established and a design method is demonstrated.Experimental results show that system-on-chip integrating power reception together with other electronic functions of smart card applications is feasible.In a 6×10 -4T magnetic field of 22.5MHz,an on-chip power of 1.225mW for a 10kΩ load is obtained using a 4mm2 on-chip antenna.
文摘Palm vein hidden under the skin and its distribution feature is hard to be stolen, which makes the palm vein recognition to be a high security biometric authentication method. Contact-less palm vein imaging can avoid the spread of disease, thus expanding the application range of palm vein biometric authentication devices. However, due to the different un-derstanding of the right imaging position and the change of fingers open degree, contact-less palm vein image acquisi-tion led to a certain degree of translation, rotation, scaling and shear, that is, the image deformation. Image deformation causes the imaging feature unstable. In this paper, the effect of image deformation to the stability of palm vein features is studied by some similarity parameters. First, feature points in the palm were marked, contact-less imaging and con-tact imaging of palm vein were acquired. Then, this paper calculated the similarity parameters of the contact-less imag-ing to contact imaging and gave corresponding analysis. Experimental results show that contact-less palm vein imagingwas stable, and derived the linear regression equation of relationship between sample space and the recognition rate: y =?0.000903x + 1.0332, coefficient of determination R2 = 0.9824. This research provided effective and detailed data to the study of contact-less palm vein recognition and gave powerful support to contact-less multi-feature fusion recogni-tion based on hand.
基金2024 Ministry of Education Supply-Demand Docking Employment and Education Projects(Project No.:2024101679202,Project No.:2024121116066)2023 Ministry of Education Supply-Demand Docking Employment and Education Projects(Project No.:2023122927732,Project No.:2023122925618)+1 种基金2024“Innovation Strong Institute Project”Construction Project(Project No.:2024CQ-29)Talent Project of the Open University of Guangdong:Research on key technologies for improving the performance of blockchain application platforms(Project No.:2021F001).
文摘To solve the problems of traditional garbage classification relying on manual work,low recognition accuracy,and unhygienic contact-based disposal,an inductive intelligent garbage recycling system based on a micro-controller is designed.The system takes STM32F103ZET6 as the core,integrates speech recognition,visual recognition,and infrared induction modules,and adopts a dual recognition fusion strategy of“speech priority+visual verification”to realize con-tactless induction lid opening,accurate garbage classification,and remote status monitoring functions.Speech recognition completes keyword matching through the LD3320 module,visual recognition realizes image feature extraction and classification based on the BP neural network,and the ESP8266 module is responsible for uploading device status to the Cloud platform.It is applicable to multiple scenarios such as households and communities,effectively improving the efficiency and convenience of garbage classification,and has good practical value.
