A fingerprint sensor comprising a plurality of electrically conductive sensing structures arranged in a sensing plane for capacitively sensing a fingerprint of a finger placed on the finger receiving surface of the fingerprint sensor arrangement, the plurality of electrically conductive sensing structures including: a first set of electrically conductive sensing structures, each sensing structure in the first set of electrically conductive sensing structures covering an area in the sensing plane being within a first area range; and a second set of electrically conductive sensing structures, each sensing structure in the second set of electrically conductive sensing structures covering an area in the sensing plane being within a second area range only including areas greater than the areas within the first area range.

An image recognition system includes a processing module, a sensor module, and a database. The sensor module is electrically connected to the processing module. The database is electrically connected to the processing module. The sensor module configured for capturing at least one image. The at least one image is stored in the database. The processing captures a contour of an object from the at least one image and separates the contour of the object into a plurality of portions. A plurality of arrangements is defined between the portions of the contour of the object. The processing module determines a state of the contour of the object based on the arrangements.

An image recognition system includes a processing module, a sensor module, and a database. The sensor module is electrically connected to the processing module. The database is electrically connected to the processing module. The sensor module configured for capturing at least one image. The at least one image is stored in the database. The processing captures a contour of an object from the at least one image and separates the contour of the object into a plurality of portions. A plurality of arrangements is defined between the portions of the contour of the object. The processing module determines a state of the contour of the object based on the arrangements.

A wearable apparatus and methods may analyze images. In one implementation, a wearable apparatus for capturing and processing images may comprise a wearable image sensor configured to capture a plurality of images from an environment of a user of the wearable apparatus and at least one programming device. The at least one processing device may be programmed to: perform a first analysis of the plurality of images to detect at least two persons; perform a second analysis of the plurality of images to determine association information related to the at least two detected persons; and update a social representation based on the determined association information.

A system for monitoring for a gas leak from a gas containing structure. The system includes a lens that directs an image of a scene of interest through an optical filter to a detector. The filter, associated with the lens, has one or more passbands that pass wavelengths which match one or more emission or reflectively wavelengths of the gas being monitored. A detector receives the image after the image passes through the lens and the filter. The detector generates image data representing the scene including the gas containing structure. A processor is configured to process the image data by executing machine executable code stored on a memory. The machine executable code processes the image data to identify turbulence flows in the image data such that a turbulence flow indicates a gas leak. The code generates and sends an alert in response to the identification of a turbulence flow.

A system for monitoring for a gas leak from a gas containing structure. The system includes a lens that directs an image of a scene of interest through an optical filter to a detector. The filter, associated with the lens, has one or more passbands that pass wavelengths which match one or more emission or reflectively wavelengths of the gas being monitored. A detector receives the image after the image passes through the lens and the filter. The detector generates image data representing the scene including the gas containing structure. A processor is configured to process the image data by executing machine executable code stored on a memory. The machine executable code processes the image data to identify turbulence flows in the image data such that a turbulence flow indicates a gas leak. The code generates and sends an alert in response to the identification of a turbulence flow.

A calculation device includes: an image input unit that receives, as an input, an image acquired by an image acquisition device that photographs a prescribed area; a visibility evaluation unit that calculates an evaluation value showing the visibility of a detection object in the image, on the basis of the contrast of the image and noise information showing the degree of noise included in the image; a calculation unit that calculates a maximum visually recognizable distance, which is the maximum distance from the image acquisition device to the detection object at which the detection object is visually recognized in the image, based on the evaluation value, a value set as the actual size of the detection object in the image, and the image angle of the image acquisition device; and an output unit that generates and outputs output information based on the maximum visually recognizable distance.

A calculation device includes: an image input unit that receives, as an input, an image acquired by an image acquisition device that photographs a prescribed area; a visibility evaluation unit that calculates an evaluation value showing the visibility of a detection object in the image, on the basis of the contrast of the image and noise information showing the degree of noise included in the image; a calculation unit that calculates a maximum visually recognizable distance, which is the maximum distance from the image acquisition device to the detection object at which the detection object is visually recognized in the image, based on the evaluation value, a value set as the actual size of the detection object in the image, and the image angle of the image acquisition device; and an output unit that generates and outputs output information based on the maximum visually recognizable distance.

An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem determines that a person is within a threshold distance of the rack and receives image frames of the angled-view images. A pixel position of a wrist of the person is determined in at least a subset of the received image frames, thereby determining a set of pixel positions of the wrist. An aggregated wrist position is determined based on the set of pixel positions. If the aggregated wrist position is determined to correspond to a position on a shelf of the rack, a trigger signal is provided indicating a shelf-interaction event has occurred.

The invention provides a voltage sensing fingerprint recognition device and a fingerprint recognition method thereof. The voltage sensing fingerprint recognition device includes: a sensor arranged on a substrate, and the sensor including a plurality of sensing pads, the sensing pads respectively arranged in a plurality of rows, and each row having at least two sensing pads, each sensing pad receiving a trigger voltage; and a voltage receiver, electrically connected to each sensing pad; when the voltage receiver captures one sensed voltage value of the sensing pads in any row, the sensing pads in the row stop receiving the trigger voltage. The present invention does not require an additional frame, so it is applied to the display surface of electronic products.