Abstract: An electronic lock includes an input apparatus. The input apparatus includes a keypad module and a processor module. The keypad module includes plural button devices arranged in plural rows and in plural columns. The processor module includes a signal-processing unit configured to, when operating in a work mode, repeatedly perform an emission process of inputting a detection signal to each column of button devices, and repeatedly perform a scan process to detect, for each row of button devices, the detection signal outputted from any row of button devices. The detection signal includes a pulse wave composed of plural pulses. The signal-processing unit is further configured to generate and output an input signal corresponding to one of the button devices when detecting the detection signal.

Abstract: An electronic lock includes an electric locking unit, a touch panel, and a control module. The control module stores a plurality of touch condition sets which are related to human contact. The control module executes an input scan operation on each touch switch of the touch panel, charges a self capacitor with a scan signal, and charges a mutual capacitor with a driving signal. The control module determines whether an electric change conforms with any one of the touch conditions. Through a structural design of the touch panel and a scan function design of the control module, the electronic lock can more accurately determine whether the touch panel is operated by human touch and can also normally operate in a humid environment.

Abstract: An electronic lock includes an electric locking unit, a touch panel, and a control module. The control module stores a plurality of touch condition sets which are related to human contact. The control module executes an input scan operation on each touch switch of the touch panel, charges a self capacitor with a scan signal, and charges a mutual capacitor with a driving signal. The control module determines whether an electric change conforms with any one of the touch conditions. Through a structural design of the touch panel and a scan function design of the control module, the electronic lock can more accurately determine whether the touch panel is operated by human touch and can also normally operate in a humid environment.

Abstract: An electronic lock includes an input apparatus. The input apparatus includes a keypad module and a processor module. The keypad module includes plural button devices arranged in plural rows and in plural columns. The processor module includes a signal-processing unit configured to, when operating in a work mode, repeatedly perform an emission process of inputting a detection signal to each column of button devices, and repeatedly perform a scan process to detect, for each row of button devices, the detection signal outputted from any row of button devices. The detection signal includes a pulse wave composed of plural pulses. The signal-processing unit is further configured to generate and output an input signal corresponding to one of the button devices when detecting the detection signal.

Abstract: A method and system are disclosed for identifying in real time duplicate financial documents processed by a financial institution or check clearinghouse. A collection of hash values representative of previously processed financial documents are maintained in a memory, such as a GPU memory. When a new financial document enters the financial institution or check clearinghouse for processing, one or more features of the financial document are captured. A hash value is generated from the one or more features of the financial document. A search is performed in the collection of hash values for a matching hash value. If a match is found, a potential fraudulent event or operational error may be indicated. If a match is not found, the hash value representative of the new financial document is added to the collection of hash values.

Abstract: A method and system are disclosed for identifying in real time duplicate financial documents processed by a financial institution or check clearinghouse. A collection of hash values representative of previously processed financial documents are maintained in a memory, such as a GPU memory. When a new financial document enters the financial institution or check clearinghouse for processing, one or more features of the financial document are captured. A hash value is generated from the one or more features of the financial document. A search is performed in the collection of hash values for a matching hash value. If a match is found, a potential fraudulent event or operational error may be indicated. If a match is not found, the hash value representative of the new financial document is added to the collection of hash values.

Abstract: A method and system are disclosed for identifying in real time duplicate financial documents processed by a financial institution or check clearinghouse. A collection of hash values representative of previously processed financial documents are maintained in a memory, such as a GPU memory. When a new financial document enters the financial institution or check clearinghouse for processing, one or more features of the financial document are captured. A hash value is generated from the one or more features of the financial document. A search is performed in the collection of hash values for a matching hash value. If a match is found, a potential fraudulent event or operational error may be indicated. If a match is not found, the hash value representative of the new financial document is added to the collection of hash values.

Abstract: A method and system are disclosed for identifying in real time duplicate financial documents processed by a financial institution or check clearinghouse. A collection of hash values representative of previously processed financial documents are maintained in a memory, such as a GPU memory. When a new financial document enters the financial institution or check clearinghouse for processing, one or more features of the financial document are captured. A hash value is generated from the one or more features of the financial document. A search is performed in the collection of hash values for a matching hash value. If a match is found, a potential fraudulent event or operational error may be indicated. If a match is not found, the hash value representative of the new financial document is added to the collection of hash values.