Data Indexation and Anonymization

Highlights
INDUSTRY : Automotive Manufacturer
MARKET : International
TURNOVER : 167 billion euros
NUMBER OF EMPLOYEES : 400,000

    Project

    Early 2019, Stellantis selected Deepomatic following an international RFP. The company wanted to optimize its data indexation and anonymization processes. Its R&D department now benefits from a no-code development platform used to train deep learning-based image recognition algorithms Thanks to its platform, Deepomatic makes it possible for detection models to scan internal data in order to flag unique driving conditions (i.e. tunnel, snow etc.) and anonymize them if necessary.

    Objectives

    Develop deep learning algorithms for object recognition and to feed a driving scenarios database, serving autonomous driving design.
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    Deepomatic and Stellantis teams collaborated fully and effectively to integrate the solution in a variety of technical environments.

    Fabien Figueres
    Big Data-AI methodologies engineer and Jean-Louis Sauvaget, Vehicle Functional Architecture Expert / R&D Stellantis.
    Stellantis

    Collaboration Benefits

    As part of their R&D program, Stellantis wishes to further develop their technology behind self-driving vehicles. More particularly, this project helps gather a considerable amount of contextual images of various driving conditions: precious information which adds real data to the basic driving script and to contextual environments.

    When it comes to Deep Learning, the first objective is to feed advanced driver-assistance systems (ADAS) with indexed data. In doing so, Stellantis also fulfills their second objective, which is to anonymize data in order to further comply with GDPR.

    RESULTS

    Automation

    Once the models developed by Deepomatic are built into the platform, they are extensively used in order to make manual intervention unnecessary. As a result, Deepomatic’s automatons reduce expenses whilst increasing reliability at the same time.

    Regulations

    The platform further supports the company’s compliance with GDPR (General Data Protection Regulation – EU).

    Staff Autonomy

    Deepomatic works hand in hand with R&D experts when deploying AI-powered technologies. Their input in terms of concept annotations and model deployment within their environment’s features has been valuable.

    IT Architecture

    The project runs on either Deepomatic’s private cloud or local servers, so as to integrate Deepomatic applications with existing data analysis software.

    About Stellantis

    Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable, and sustainable mobility solutions. It was formed through the merger of Groupe PSA and Fiat Chrysler Automobiles. In addition to the Group’s rich heritage and broad geographic presence, its greatest strengths lie in its sustainable performance, depth of experience, and the wide-ranging talents of employees working around the globe. Stellantis will leverage its broad and iconic brand portfolio, which was founded by visionaries who infused the marques with passion and a competitive spirit that speaks to employees and customers alike. Stellantis aspires to become the greatest, not the biggest, while creating added value for all stakeholders as well as the communities in which it operates.

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