Invensense, Inc.

Movea

Daniela Hall

Harihar Narasimha-Iyer

Bruno Flament

Etienne De Foras

Jonathan Baudot

Sina Akhbari

Joe Youssef

Romain Fayolle

Etienne DeForas

Tony Lei

Stefon Shelton

Zhongyang Li

Ben Eovino

A robotic cleaning appliance includes a housing to which is coupled a surface treatment item and a sensor assembly with first and second transducers and an acoustic interface. The first sonic transducer transmits sonic signals through an acoustic interface and out of a first acoustic opening toward a surface beneath the robotic cleaning appliance. The sonic signals reflect from the surface as corresponding returned signals received by the second sonic transducer via a second acoustic opening port of the acoustic interface. A first plurality of annular rings is defined in the external surface around the first acoustic opening port and a second plurality of annular rings is defined in the external surface around the second acoustic opening port. The pluralities of annular rings attenuate direct path echoes from a subset of the transmitted sonic signals which attempt to travel across the external surface to the second acoustic opening port.

Ultrasonic direct echo path reduction

A robotic cleaning appliance includes a housing to which is coupled a surface treatment item and a sensor assembly with first and second transducers and an acoustic interface. The first sonic transducer transmits sonic signals through an acoustic interface and out of a first acoustic opening toward a surface beneath the robotic cleaning appliance. The sonic signals reflect from the surface as corresponding returned signals received by the second sonic transducer via a second acoustic opening port of the acoustic interface. A first annular ring is defined around the first acoustic opening port and a second annular rings is defined around the second acoustic opening port. The annular ring attenuate direct path echoes between the acoustic opening ports. The first and second acoustic opening ports are coupled the first and sonic transducers, respectively, via first and second horns; and the horns are tilted from orthogonal with the surface.

Ultrasonic cliff detection and depth estimation using tilted sensors

In a method for operating a fingerprint sensor including a plurality of ultrasonic transducers, receiving a plurality of images corresponding to different subsets of the ultrasonic transducers of the fingerprint sensor are received, wherein the plurality of images are non-adjacent. For each image of the plurality of images, it is determined whether the image of the plurality of images is indicative of a fingerprint. Provided a number of images of the plurality of images that are indicative of a fingerprint satisfies a threshold, it is determined whether the images of the plurality of images that are indicative of a fingerprint are collectively indicative of a fingerprint. Provided the plurality of images are collectively indicative of a fingerprint, it is determined that the plurality of images include a fingerprint.

Operating a fingerprint sensor comprised of ultrasonic transducers

In a method for fingerprint authentication, a fingerprint image is received from a fingerprint sensor. Fingerprint authentication of the fingerprint image is performed by comparing the fingerprint image to a set of authentication fingerprint images including at least one enrollment fingerprint image and at least one transformed fingerprint image, where the transformed fingerprint image is generated by applying a transfer function to at least one enrollment fingerprint image of the set of authentication fingerprint images, and where the transfer function is for simulating fingerprint image acquisition during a predefined environmental condition.

Fingerprint authentication using a synthetic enrollment image

In a method for performing operating a fingerprint sensor, an image of a fingerprint of a finger is captured at a fingerprint sensor. A force applied by the finger at the fingerprint sensor is determined, where the force is a measure of pressure applied by the finger on the fingerprint sensor during capture of the image. The force is compared to a pressure threshold. Provided the force satisfies a pressure threshold, a spoof detection operation is performed to determine whether the finger is a real finger. Provided the force does not satisfy the pressure threshold, fingerprint authentication using the image of the fingerprint is performed without performing the spoof detection operation.

Pressure-based activation of fingerprint spoof detection

In a method for determining whether a finger is a real finger at an ultrasonic fingerprint sensor, a sequence of images of a fingerprint of a finger are captured at an ultrasonic fingerprint sensor, wherein the sequence of images includes images captured during a change in contact state between the finger and the ultrasonic fingerprint sensor. A plurality of transient features of the finger is extracted from the sequence of images. A classifier is applied to the plurality of transient features to classify the finger as one of a real finger and a fake finger. It is determined whether the finger is a real finger based on an output of the classifier.

Fake finger detection based on transient features

Systems and methods are disclosed for extracting depth information for an image by identifying a point of interest appearing in at least two images, calculating depth information for the point of interest by evaluating positions of the point of interest within the images with a change in position of the portable device, defining an image region based on a shared characteristic and assigning the depth information calculated for the point of interest to the defined region.

Systems and methods for providing image depth information

In a method for evaluating a darkfield image for contamination, it is determined whether an object is interacting with a fingerprint sensor. Provided an object is not interacting with the fingerprint sensor, a darkfield candidate image is captured at a fingerprint sensor. The darkfield candidate image is evaluated for contamination. Based on the evaluating, it is determined whether the darkfield candidate image includes contamination.

Darkfield contamination detection

In a method for modeling a darkfield candidate image at a sensor, a plurality of darkfield images of the sensor is captured, wherein each darkfield image of the plurality of darkfield images is associated with a different operational condition of the sensor. An operational condition of the sensor is determined. A darkfield candidate image comprising a combination of the plurality of darkfield images is modeled based at least in part on the operational condition of the sensor, wherein a contribution of each darkfield image of the plurality of darkfield images is dependent on the operational condition.

Darkfield modeling

In a method for enhancing quality of a fingerprint image, a plurality of images is received, where the plurality of images comprises fingerprint images. An image of the plurality of images is selected as a reference image. Subsections of each image of the plurality of images are compared to corresponding subsections of the reference image. Based on the comparing, subsections of each image of the plurality of images are selected to utilize in generating an image average of the plurality of images. An image average of the plurality of images is generated utilizing selected subsections of the plurality of images.

Enhancing quality of a fingerprint image

A method for synchronizing data provided by an image sensor and a motion sensor rigidly linked together, comprising the steps of:

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Eybens, France

Daniela Hall