Toyota Motor Engineering & Manufacturing North America, Inc.

Toyota Jidosha Kabushiki Kaisha

Alexander T Pham

Nutonya Lynn Parker

Chianing Wang

Ba Khai Nguyen

Systems and methods described herein relate to implementing battery life prediction strategies. In one embodiment, a method includes receiving a first battery dataset containing a first set of battery entries, a first set of historical usage entries, a first set of local parts entries, and a first global parts entry; generating a second battery dataset containing a second set of battery entries and a second set of historical usage entries; generating a second set of local parts entries for the second battery dataset based on comparing the first set of historical usage entries with the second set of historical usage entries; copying the first global parts entry to a second global parts entry of the second battery dataset; and optimizing via one or more global local decomposition transformers the second set of local parts entries and the second global parts entry based on the second set of historical usage entries.

Battery life prediction using a global-local decomposition transformer

A weight management system for managing vehicle seat occupant body weight by using vehicle cameras and weight sensors of a plurality of vehicles having onboard communication modules. Each vehicle is equipped to analyze and compare weight changes of the vehicle seat occupant over time. Based on the weight status, a weight management recommendation can be transmitted to the vehicle seat occupant. Each vehicle is operatively connected to a weight management application in a data center. The weight management application includes a registration module which registers each vehicle. Additionally, a vehicle seat occupant may register with the weight management application to have his/her weight analyzed when travelling in any of the plurality of vehicles. The weight management application requests a search of a data lake and analysis of search results by a weight data artificial intelligence analytics program to improve the weight management recommendation.

Methods and systems for monitoring human body weight with vehicle sensors and big data AI analytics

Facial skin analysis methods and systems for improving facial skin conditions using vehicle cameras of vehicles having onboard communication modules. Each vehicle is equipped to analyze the facial skin images over time periods and compare the images to determine skin conditions. Based on the facial skin conditions, a treatment recommendation can be transmitted to a seat occupant. Each vehicle is operatively connected to a facial skin analysis application in a data center. The facial skin analysis application includes a registration module which registers each vehicle. Additionally, a vehicle user may register with the facial skin analysis application to have his/her facial skin analyzed when travelling in any of the plurality of vehicles. The facial skin analysis application is operatively connected to a skin data AI analytics module and data lake and searches a plurality of databases for information related to the facial skin conditions to improve the treatment recommendation.

Methods and systems for improving human facial skin conditions by leveraging vehicle cameras and skin data AI analytics

Hair loss/gain and scalp changes are monitored using vehicle cameras and sensors of connected vehicles. Each vehicle is equipped with at least one camera which images the hair and scalp of a person riding in the vehicle. Each vehicle is operatively connected to a hair and scalp improvement application in a computing cloud which includes a registration module which registers each vehicle. Additionally, the person may register with the hair and scalp improvement application to have his/her hair and scalp analyzed when travelling in any of the registered vehicles. The hair and scalp improvement application is operatively connected to a hair and scalp data artificial intelligence (AI) analytics module and a data lake to search and analyze information related to the changes in the hair and scalp images. A hair and scalp treatment recommendation is transmitted to the person.

Methods and systems for improving human hair and scalp using vehicle cameras and big data AI analytics

According to various embodiments of the disclosed technology, a vehicle may detect impaired drivers of other vehicles. In some embodiments, a first vehicle, comprises a hardware processor; and a non-transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform a method to determine whether a driver of a second vehicle is impaired, the method comprising: collecting information concerning the second vehicle from one or more sensors mounted on the first vehicle; determining a driving behavior of a driver of the second vehicle based on the information collected by the first vehicle; comparing the determined driving behavior of the driver of the second vehicle with a baseline driving behavior; determining whether the driver of the second vehicle is impaired based on the comparing; and taking one or more actions responsive to determining that the driver of the second vehicle is impaired.

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San Jose, CA, United States of America

Alexander T Pham