Google Inc.

Samsara Inc.

Samsara Networks Inc.

Lyft, Inc.

Jason Noah Laska

Greg Duffy

Greg R Nelson

Cameron Hill

Brian Tuan

Martin Davidsson

Sean Kyungmok Bae

Ishaan Kansal

Evaline Shin-Tin Tsai

Bodecker John DellaMaria

Hiro Mitsuji

Saleh ElHattab

Ijeoma Emeagwali

Alan Guihong Liu

Jennifer Kao

Eliott Ray Chapuis

Sylvie Lee

Gregory Rourk Nelson

Lawrence W Neal

Tung Yuen Wan

Wei Hua

Michael D Montalbo

Akshay R Bapat

Prateek Reddy

John Charles Bicket

Jason Frederic Symons

Matthew Lee Basham

Sabrina Quinn Shemet

Margaret Irene Finch

Kieran K Gupta

James Chen

Ryan Reading

Melissa D McLean

Kavya U Joshi

George Alban Heitz

Rizwan Ahmed Chaudhry

Han Suk Kim

Srivatsan Varadharajan

Kathryn Flaherty Frisbie

Mike Montalbo

Matthew Jonathan Feldman

Artur Dryomov

Yakau Bubnou

Yanina Michukova

Oleg Shnitko

Stanislau Binko

Lev Dragunov

Dzmitry Kavaliou

Siddharth Vijayakrishnan

Mark Edward Huberty

Mikhail Viktorovich Chuikin

Bodecker John Dellamaria

Kavya Joshi

Methods for performing operations for improving driver safety across a fleet of vehicles are disclosed. A plurality of safety events pertaining to a driving of a fleet of vehicles by a plurality of drivers are detected. A subset of the events is identified. The subset corresponds to one or more safety events of the plurality of safety events involving one or more vehicles of the fleet of vehicles to which drivers have not been assigned. A user interface is generated for presentation on a client device, the user interface including an interactive user interface element for accessing the subset of the events. One or more user interface elements are provided for accepting or rejecting recommendations for assignments of one of the plurality of drivers to each of the vehicles. The recommendations are generated based on an application of a machine-learned model to images of faces captured.

Facial recognition technology for improving driver safety

A baseline event detection system to detect events by performing operations that include: generating a baseline data set; accessing a data stream; performing a comparison of the baseline data set and the data stream; and detecting an event based on the comparison.

Baseline event detection system

Methods for improving compliance with regulations pertaining to vehicle driving records are disclosed. One or more digital images from a camera mounted in a vehicle are received. Based on a determination that the vehicle has hours of service that have not been assigned to a driver, a subset of the one or more digital images corresponding to the hours of service are identified based on the timestamps. The subset of the one or more digital images are processed to identify a correspondence between a face of a person included in the one or more digital images and a face of a known person. Based on the correspondence transgressing a threshold level of correspondence, a user interface is generated for presentation on a device. The user interface includes an interactive user interface element for accepting a recommendation to assign the known person as the driver for the unassigned hours of service.

Facial recognition technology for improving motor carrier regulatory compliance

An event detection system to operations that include: detecting an event based on at least a portion of the sensor data, the event comprising a plurality of event attributes; determining one or more event attributes from the plurality of event attributes of the event transgress a threshold value; and causing display of a notification that includes a presentation of at least the portion of the sensor data in response to the determining that the one or more event attributes from among the plurality of event attributes of the event transgress the threshold value.

Event notification system

Examples disclosed herein involve a computing system configured to (i) receive, from an image-capture device, image-capture metadata that provides information about a set of images that were passively captured by the image-capture device, (ii) based at least on the received image-capture metadata, apply a collection policy for determining whether to collect any of the set of images that have been passively captured by the image-capture device and thereby determine that a selected subset of one or more images in the set of images are to be collected from the image-capture device, (iii) instruct the image-capture device to upload the selected subset of one or more images, and (iv) after instructing the image-capture device to upload the selected subset of one or more images, receive the selected subset of one or more images from the image-capture device.

Systems and methods for updating maps and evaluating map accuracy based on collected image data

The various embodiments described herein include methods, devices, and systems for categorizing motion events. In one aspect, a method is performed at a camera device. The method includes: (1) capturing a plurality of video frames via the image sensor, the plurality of video frames corresponding to a scene in a field of view of the camera; (2) sending the video frames to the remote server system in real-time; (3) while sending the video frames to the remote server system in real-time: (a) determining that motion has occurred within the scene; (b) in response to determining that motion has occurred within the scene, characterizing the motion as a motion event; and (c) generating motion event metadata for the motion event; and (4) sending the generated motion event metadata to the remote server system concurrently with the video frames.

Systems and methods for categorizing motion events

Growing community of inventors

San Francisco, CA, United States of America

Jason Noah Laska