Eureka-AI is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Eureka AI

3353results about "Converting sensor output optically" patented technology

Remote meter reader using a network sensor system and protocol

A system and method is provided for automatically reading meters, such as utility meters. A camera unit is attached to or otherwise associated with an existing meter. From time to time, either automatically, or upon wireless command, the camera unit takes an image of the meter's readings, and communicates wirelessly the image or image data, to a local area receiver. The images can be transmitted immediately, or stored for later transmission, depending on the network protocol. The camera unit is battery powered, and operates communication protocols that enable extended operational life. These protocols allow for the camera's radio and processor to be turned on only when necessary, and then for only brief periods of time. At most times, the camera is in a power-conserving sleep mode. Multiple camera units may be arranged to communicate meter image data to the local area receiver, either using asynchronous or synchronous processes. In this way, star, point-to-point, MESH and ring networking topologies are enabled. The meter image data is communicated from the receiver to a central office using a wide area connection, where the image data is used for determining the meter reading. In one example, the image may be included with a utility bill as confirmed evidence of the current meter reading.

Sensor for determining the angular position of a radiating point source in two dimensions and method of operation

A sensor for determining the angular position of a radiating point source in two dimensions includes a mask encoded in two skewed directions with waveforms consisting of several frequencies in prescribed patterns. The frequency spectra of the received detector patterns are computed. In order to facilitate such computations, the constituent frequencies are separated so as to be distinguished in the Fast Fourier Transform (FFT). Each of the frequency patterns that are coded on the variable transmissivity mask consists of a series of low frequencies followed by a series of variable frequencies, and a series of high frequencies. The variable frequencies exhibit frequency changes responsive to various image positions. The low and high frequencies are responsive in phase to variations in image position. The frequency variations in the variable frequencies are used to indicate coarse position while the phases of the fixed low and high frequencies are used to indicate medium and fine position. In a second embodiment, the mask pattern is formed by a first pattern including low variable and high frequency components, a second pattern with fixed low and high frequency components, and a third pattern with variable frequency components. The method of determining position is also disclosed.
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products