Abstract: Aspects of the disclosure are related to a Lidar device, comprising: a vibrating fiber optic cantilever system on a transmit (TX) path; and a two-dimensional (2D) light sensor array on a receive (RX) path.

Abstract: Various aspects of the present disclosure generally relate to optical character detection. In some aspects, a user device may receive, from a vision sensor, a first image that is associated with a first optical character image. The user device may determine, using an image processing model, that the first image depicts the first optical character image. The user device may cause, based at least in part on determining that the first image depicts the first optical character image, a camera to capture a second image that is associated with a second optical character image. The user device may perform an action associated with the second image. Numerous other aspects are provided.

Abstract: Reducing the space occupied by a voltage regulation integrated circuit (IC) that includes an inductor is achieved by implementing the inductor as a 3D inductor having windings formed of conductive elements integrated into a lower substrate, a circuit layer, and an upper substrate, and positioning other components within a core space of the 3D inductor in the circuit layer. The space occupied by the inductor is shared with the other circuit components and with the structural layers of the voltage regulation IC. A voltage regulation IC may be a switched-mode power supply (SMPS) that includes an inductor with a capacitor and/or a switching circuit. The inductor is implemented as upper horizontal traces in an upper substrate, lower horizontal traces in a lower substrate, and vertical interconnects in a circuit layer between the upper substrate and the lower substrate, and the conductive elements form the 3D inductor as a rectangular coil.

Abstract: In one example, an image sensor module comprises one or more covers having at least a first opening and a second opening, a first lens mounted in the first opening and having a first field of view (FOV) centered at a first axis having a first orientation, a second lens mounted in the second opening and having a second FOV centered at a second axis having a second orientation different from the first orientation, a first image sensor housed within the one or more covers and configured to detect light via the first lens, and a second image sensor housed within the one or more covers and configured to detect light via the second lens. The first image sensor and the second image sensor are configured to provide, based on the detected light, image data of a combined FOV larger than each of the first FOV and the second FOV.

Abstract: Reducing the space occupied by a voltage regulation integrated circuit (IC) that includes an inductor is achieved by implementing the inductor as a 3D inductor having windings formed of conductive elements integrated into a lower substrate, a circuit layer, and an upper substrate, and positioning other components within a core space of the 3D inductor in the circuit layer. The space occupied by the inductor is shared with the other circuit components and with the structural layers of the voltage regulation IC. A voltage regulation IC may be a switched-mode power supply (SMPS) that includes an inductor with a capacitor and/or a switching circuit. The inductor is implemented as upper horizontal traces in an upper substrate, lower horizontal traces in a lower substrate, and vertical interconnects in a circuit layer between the upper substrate and the lower substrate, and the conductive elements form the 3D inductor as a rectangular coil.

Abstract: Apparatuses, methods, and systems are presented for sensing scene-based occurrences. Such an apparatus may comprise a vision sensor system comprising a first processing unit and dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array comprising a plurality of sensor pixels and capable of computing one or more CV features using readings from neighboring sensor pixels. The vision sensor system may be configured to send an event to be received by a second processing unit in response to processing of the one or more computed CV features by the first processing unit. The event may indicate possible presence of one or more irises within a scene.

Abstract: Sensing of scene-based occurrences is disclosed. In one example, a vision sensor system comprises (1) dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array and capable of computing CV features using readings from multiple neighboring sensor pixels and (2) a first processing unit communicatively coupled with the dedicated CV computation hardware. The vision sensor system is configured to, in response to processing of the one or more computed CV features indicating a presence of one or more irises in a scene captured by the at least one sensor array, generate data in support of iris-related operations to be performed by a second processing unit and send the generated data to the second processing unit.

Abstract: Various aspects of the present disclosure generally relate to optical character detection. In some aspects, a user device may receive, from a vision sensor, a first image that is associated with a first optical character image. The user device may determine, using an image processing model, that the first image depicts the first optical character image. The user device may cause, based at least in part on determining that the first image depicts the first optical character image, a camera to capture a second image that is associated with a second optical character image. The user device may perform an action associated with the second image. Numerous other aspects are provided.

Abstract: In one example, an image sensor module comprises one or more covers having at least a first opening and a second opening, a first lens mounted in the first opening and having a first field of view (FOV) centered at a first axis having a first orientation, a second lens mounted in the second opening and having a second FOV centered at a second axis having a second orientation different from the first orientation, a first image sensor housed within the one or more covers and configured to detect light via the first lens, and a second image sensor housed within the one or more covers and configured to detect light via the second lens. The first image sensor and the second image sensor are configured to provide, based on the detected light, image data of a combined FOV larger than each of the first FOV and the second FOV.

Abstract: Apparatuses, methods, and systems are presented for sensing scene-based occurrences. Such an apparatus may comprise a vision sensor system comprising a first processing unit and dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array comprising a plurality of sensor pixels and capable of computing one or more CV features using readings from neighboring sensor pixels. The vision sensor system may be configured to send an event to be received by a second processing unit in response to processing of the one or more computed CV features by the first processing unit. The event may indicate possible presence of one or more irises within a scene.

Abstract: Use of pupillary response to visible light for iris authentication is disclosed. One example involves (a) capturing an initial image of an eye including an inner circular boundary between a pupil region and an iris region and an outer circular boundary between the iris region and a sclera region, (b) determining a first size measurement indicative of the inner circular boundary, (c) responsive to at least the first size measurement, modulating one or more visible light sources to output visible light toward the eye of the user, (d) capturing a subsequent image of the eye of the user during a period of pupillary response, (e) obtaining an iris data record of the user, and (f) comparing the iris data record of the user to one or more registered iris data records to authenticate the user.

Abstract: Disclosed herein are techniques for light beam scanning in a light detection and ranging (LIDAR) system. The LIDAR system includes a beam shaping subsystem configured to generate an illumination pattern elongated in a first direction, and a scanning subsystem configured to direct the elongated illumination pattern towards a plurality of positions along a second direction different from the first direction. The LIDAR system further includes a sensor configured to generate a detection signal in response to detecting light reflected by a target object illuminated by the elongated illumination pattern, and a processor configured to determine a characteristic of the target object based on the detection signal.

Abstract: Aspects of the disclosure are related to a Lidar device, comprising: a vibrating fiber optic cantilever system on a transmit (TX) path; and a two-dimensional (2D) light sensor array on a receive (RX) path.

Abstract: Apparatuses, methods, and systems are presented for reacting to scene-based occurrences. Such an apparatus may comprise dedicated computer vision (CV) computation hardware configured to receive sensor data from a sensor array comprising a plurality of sensor pixels and capable of computing one or more CV features using readings from neighboring sensor pixels of the sensor array. The apparatus may further comprise a first processing unit configured to control operation of the dedicated CV computation hardware. The first processing unit may be further configured to execute one or more application programs and, in conjunction with execution of the one or more application programs, communicate with at least one input/output (I/O) device controller, to effectuate an I/O operation in reaction to an event generated based on operations performed on the one or more computed CV features.

Abstract: Aspects of the disclosure are related to a Lidar device, comprising: a vibrating fiber optic cantilever system on a transmit (TX) path; and a two-dimensional (2D) light sensor array on a receive (RX) path.

Abstract: Methods, systems, computer-readable media, and apparatuses for cover-glass optical isolation for optical touch and fingerprint sensing are presented. One disclosed display assembly includes a cover glass layer; a low refractive index (LRI) layer coupled to a surface of the cover glass layer; a display layer coupled to the LRI layer; a prism structure; and a camera comprising an image sensor optically coupled to the prism structure to capture an image of a fingerprint based on light reflected from a fingertip and propagated within the cover glass layer and directed towards the camera using the prism structure, wherein the cover glass layer defines an overhang region that extends beyond the LRI layer and the display layer, and wherein the prism structure is coupled to the surface of the cover glass layer on the overhang region.

Abstract: Use of pupillary response to visible light for iris authentication is disclosed. One example involves (a) capturing an initial image of an eye including an inner circular boundary between a pupil region and an iris region and an outer circular boundary between the iris region and a sclera region, (b) determining a first size measurement indicative of the inner circular boundary, (c) responsive to at least the first size measurement, modulating one or more visible light sources to output visible light toward the eye of the user, (d) capturing a subsequent image of the eye of the user during a period of pupillary response, (e) obtaining an iris data record of the user, and (f) comparing the iris data record of the user to one or more registered iris data records to authenticate the user.

Abstract: Sector-based iris authentication is disclosed. One example involves (a) capturing an image of an eye of the user, the image including an iris region, (b) identifying a plurality of sectors of the iris region within the image, (c) determining a measure of distinctiveness for each sector of the iris region, (d) selecting one or more sectors from the plurality of sectors of the iris region based on the determined measure of distinctiveness for the each sector of the iris region, the selected one or more sectors being fewer in number than the plurality of sectors of the iris region, and (e) comparing the selected one or more sectors to one or more registered iris data records.

Abstract: Sensing of scene-based occurrences is disclosed. In one example, a vision sensor system comprises (1) dedicated computer vision (CV) computation hardware configured to receive sensor data from at least one sensor array and capable of computing CV features using readings from multiple neighboring sensor pixels and (2) a first processing unit communicatively coupled with the dedicated CV computation hardware. The vision sensor system is configured to, in response to processing of the one or more computed CV features indicating a presence of one or more irises in a scene captured by the at least one sensor array, generate data in support of iris-related operations to be performed by a second processing unit and send the generated data to the second processing unit.

Abstract: Techniques disclosed herein utilize a vision sensor that integrates a special-purpose camera with dedicated computer vision (CV) computation hardware and a dedicated low-power microprocessor for the purposes of detecting, tracking, recognizing, and/or analyzing subjects, objects, and scenes in the view of the camera. The vision sensor processes the information retrieved from the camera using the included low-power microprocessor and sends “events” (or indications that one or more reference occurrences have occurred, and, possibly, associated data) for the main processor only when needed or as defined and configured by the application. This allows the general-purpose microprocessor (which is typically relatively high-speed and high-power to support a variety of applications) to stay in a low-power (e.g., sleep mode) most of the time as conventional, while becoming active only when events are received from the vision sensor.