Abstract: A cloud-enabled low power Wi-Fi device is provided that includes a transceiver, a programmable processor, and executable control software stored on a non-transitory computer readable medium. The transceiver can be in a low power sleep mode until the programmable processor and the executable control software detect a first condition. When the programmable processor and the executable control software detect the first condition, the transceiver can exit the low power sleep mode and the programmable processor and the executable software can construct and transmit a message, via the transceiver, to a remote device. When the programmable processor and the executable control software detect a second condition, the transceiver can reenter the low power sleep mode.

Abstract: A cloud-enabled low power Wi-Fi device is provided that includes a transceiver, a programmable processor, and executable control software stored on a non-transitory computer readable medium. The transceiver can be in a low power sleep mode until the programmable processor and the executable control software detect a first condition. When the programmable processor and the executable control software detect the first condition, the transceiver can exit the low power sleep mode and the programmable processor and the executable software can construct and transmit a message, via the transceiver, to a remote device. When the programmable processor and the executable control software detect a second condition, the transceiver can reenter the low power sleep mode.

Abstract: A system using face and iris image capture for recognition of people. The system may have wide field-of-view, medium field-of-view and narrow field-of-view cameras to capture images of a scene of people, faces and irises for processing and recognition. Matching of the face and iris images with images of a database may be a basis for recognition and identification of a subject person.

Abstract: A modular biometrics collection system with an architecture having application to a combined features recognition system. The system may be a self-organizing mesh of collaborative independent components. Each component may have inputs, outputs, and local prioritization management. Each component may operate autonomously. Federated behavior of the components may be achieved by subscribing to content that influences local prioritization. An example of the system may have application to combined face and iris recognition.

Abstract: A method and apparatus for automatically focusing a camera that may rely upon ambient light for auto focusing and flash illumination for image capture. A correction factor may be determined that is based at least in part on a range between the camera and a desired subject. The camera focus may be adjusted in accordance with the correction factor prior to capturing a capture image using flash illumination.

Abstract: A productivity tool (for a medical clinic, veterinary clinic, or other non-medical environments) that embeds digital audio records in patient or customer encounter records in an encounter-centric manner such that the records are associated to the applicable encounter within a particular visit.

Abstract: A smart field-mounted control unit, for controlling a process, receives signals and sends a command output over a two-wire circuit which powers the control unit. An input section receives the signals, which can be instructions representative of commands or instruction sets, process variables sensed by external control units or setpoints representative of a desired process state. The instructions are representative of a control requirement of the process and adjust a controlling section in the control unit to generate the command output in conformance with the control requirement. The command output can be a function of the difference between the process setpoint and a process variable, or a function of a linear combination of a process variable and its calculated time integral and time derivative functions. A sensing section in the control unit can sense and scale a process variable for generating the command output as well.

Abstract: A smart field-mounted control unit, for controlling a process, receives signals and sends a command output over a two-wire circuit which powers the control unit. An input section receives the signals, which can be instructions representative of commands or instruction sets, process variables sensed by external control units or setpoints representative of a desired process state. The instructions are representative of a control requirement of the process and adjust a controlling section in the control unit to generate the command output in conformance with the control requirement. The command output can be a function of the difference between the process setpoint and a process variable, or a function of a linear combination of a process variable and its calculated time integral and time derivative functions. A sensing section in the control unit can sense and scale a process variable for generating the command output as well.

Abstract: A smart field-mounted control unit, for controlling a process, receives signals and sends a command output over a two-wire circuit which powers the control unit. An input section receives the signal, which can be instructions representative of commands or instructions sets, process variables sensed by external control units or setpoints representative of a desired process state. The instructions are representative of a control requirement of the process and adjust a controlling section in the control unit to generate the command output in conformance with the control requirement. The command output can be a function of the difference between the process setpoint and a process variable, or a function of a linear combination of a process variable and its calculated time integral and time derivative functions.