Ambarella, Inc.

Videostitch Inc.

Ambarella International LP

Bossa Nova Robotics Ip, Inc.

Alexander Fink

Shimon Pertsel

Nicolas Burtey

George Haber

Stephane Valente

Christopher N Day

Stéphane Valente

Sarjoun Skaff

Garrick Kremesec

Matthew Brekken

Didier LeGall

Brendan Mcleod

Christian Carlberg

Lucas McCauley

An image capture system for tracking target objects includes a movable base that supports one or more image capture modules, each of the image capture modules including a camera module, a first light module and a second light module. The camera module is mounted on a first plane of a mount bracket, the first light module is mounted on a second plane of the mounting bracket, and a second light module is mounted on a third plane of the mounting bracket. The first and second planes define a first angle, the first and third planes define a second angle, and the second angle is larger than the first angle. An output of the first light module and a light output of the second light module is selected based on an operating condition of the camera module.

Systems and methods for image capture and shelf content detection

A method for monitoring a shelf includes the steps of moving a camera with multiple focus capability alongside a shelf. A series of shelf images are captured by the camera, with images of at least two different focal lengths being captured. Images having the same focal length can be merged to form at least two panoramic images suitable for further evaluation or review.

Shelf-viewing camera with multiple focus depths

An apparatus comprising a sensor and a processor. The sensor may be configured to generate a first video signal based on a targeted view from a vehicle. The processor may be configured to (A) receive the first video signal, (B) generate a second video signal and (C) present the second video signal to a display. The second video signal presents a series of video frames configured to fit a shape of the display. The processor selects among a plurality of fields of view for the video frames based on a decision by the processor.

Electronic side-mirror with multiple fields of view

An apparatus comprising a sensor, an interface and a processor. The sensor may be configured to generate a video signal based on a targeted view from a vehicle. The interface may receive status information from the vehicle. The processor may be configured to detect objects in the video signal. The processor may be configured to generate metadata in response to (i) a classification of the objects in the video signal and (ii) the status information. The metadata may be used to report road conditions.

Per-lane traffic data collection and/or navigation

A system includes a processing device and a personal communication device. The dash camera may be configured to be removably mounted in a vehicle with a view of a direction ahead of the vehicle and no further installation to said vehicle. The personal communication device is generally separate from the dash camera and the vehicle. The dash camera generally comprises a processing device and one or more sensors configured to generate data related to motion of the vehicle. The processing device generally collects (i) the data related to motion of the vehicle and (ii) video, and, in response to the data being indicative of an accident, automatically communicates collected data and a video sequence recorded prior to the data being indicative of the accident to the personal communication device and automatically initiates an emergency call using the personal communication device.

Vehicle video camera/recorder initiated emergency calling

An apparatus includes a camera, a sensor and a processor. The camera may generate a video signal based on a targeted view of a driver. The sensor may generate a proximity signal in response to detecting an object within a predetermined radius. The processor may determine a location of the object with respect to the vehicle, determine a current location of eyes of the driver, determine a field of view of the driver at a time when the proximity signal is received based on the current location of the eyes, determine whether the object is within the field of view using the current location of the eyes, and generate a control signal. The distance may be determined based on a comparison of reference pixels of a vehicle component in a reference video frame to current pixels of the vehicle component in the video frames.

Blind-spot monitoring using machine vision and precise FOV information

An apparatus comprising an interface and a processing circuit. The interface may be configured to receive (a) a video signal based on a targeted view in a vehicle and (b) one or more status signals from one or more sensors of the vehicle. The processing circuit may be configured to (A) analyze the video signal received from the interface and (B) detect a type of obstruction of a window of the vehicle visible in the video signal in response to (i) a classification of information in the video signal and (ii) one or more of the status signals. The processing circuit may (a) determine a confidence level for the type of obstruction, (b) activate one or more corrective measures when the confidence level is above a pre-defined threshold and (c) adjust the confidence level based on a response of the obstruction to the corrective measures.

Automatic maintenance of front and/or rear windshield visibility

An apparatus comprising a sensor, an interface and a processor. The sensor may be configured to generate a video signal based on a targeted view of a driver. The interface may be configured to receive status information about one or more components of a vehicle. The processor may be configured to generate a control signal in response to a determined field of view of the driver. The control signal may be used to adjust one or more mirrors of the vehicle. The field of view may be determined based on (i) the video signal and (ii) the status information.

Automatic mirror adjustment using an in-car camera system

An apparatus includes a sensor and a processor. The sensor may be configured to generate a video signal based on a targeted view from a vehicle. The processor may be configured to perform video analysis on video frames of the video signal to detect an object, perform a classification of the object, provide a confidence level of the classification and generate a control signal in response to the classification of the object. The control signal may be used to reshape a beam of one or more headlights of the vehicle. The reshaping of the beams of the headlights may be determined based on a location of the object in the video frames and the confidence level of the classification. The confidence level of the classification of the object may be adjusted in response to a second classification of a second object detected in the video frame.

Automatic beam-shaping using an on-car camera system

An apparatus includes a sensor and a processor. The sensor may be configured to generate a first video signal. The processor may be configured to search for a flickering effect in a frame of the first video signal, determine a location and a region of pixels to modify within the frame in response to the flickering effect, determine a modification based on the flickering effect, perform the modification of the region of pixels by determining average values of pixels based on the location of the region of pixels over consecutive frames of the first video signal and generate a second video signal in response to the modification of the region of pixels and the first video signal. The second video signal may present a modified version of the region of pixels to mask the flickering effect when viewing the second video signal on a display.

Reduction of LED headlight flickering in electronic mirror applications

An apparatus comprising a camera sensor and a processor. The camera sensor may be configured to generate a video signal based on a targeted wide angle view of an interior of a vehicle. The processor may be configured to detect a type of object in the interior of the vehicle based on a classification of information visible in the video signal. If the vehicle is unattended by a person capable of operating one or more accessories of the vehicle, the processor may be configured to initiate one or more corrective measures based on the type of the object.

Automobile video camera for the detection of children, people or pets left in a vehicle

An apparatus comprising a sensor, an interface and a processor. The sensor may be configured to generate a video signal based on a targeted view of an environment. The interface may be configured to receive status information of the apparatus at a time of generation of the video signal. The processor may be configured to (i) detect one or more objects in the video signal, (ii) determine a location of the one or more objects relative to the sensor and (iii) generate metadata. The location of the one or more objects may be based on (i) the status information of the apparatus and (ii) a field of view of the sensor. The metadata may correspond to the location of the one or more objects.

Bulk searchable geo-tagging of detected objects in video

An apparatus comprising a plurality of image modules and a plurality of processors. The image modules may each comprise (i) a sensor configured to generate images and (ii) a lens mounted to the sensor. The processors may each be configured to (A) receive the images from a subset of the plurality of image modules and (B) generate a plurality of video streams. Each one of the video streams may be generated by one of the processors in response to the images received from one of the image modules. The subset of the plurality of image modules may comprise at least two distinct image modules of the plurality of image modules. The lenses may be arranged to allow the images to provide coverage for a spherical field of view of a scene surrounding the apparatus.

Omnidirectional camera with multiple processors and/or multiple sensors connected to each processor

A system comprising a camera and a computing device. The camera may comprise (a) a plurality of capture devices configured to capture images of an environment surrounding the camera to provide a spherical field of view and (b) a first interface. The computing device may comprise (a) a processor and (b) a second interface. The camera may be configured to encode a plurality of video streams based on the captured images. The first interface may be configured to transfer the plurality of video streams to the second interface. The processor may perform a stitching operation on the plurality of video streams to generate a single video signal. The stitching operation may be performed on the plurality of video streams in real time as the plurality of video streams are transferred. The single video signal may be configured to represent an omnidirectional view based on the environment surrounding the camera.

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San Jose, CA, United States of America

Alexander Fink