• The urban mobility market is on the verge of a revolution

    From individual car ownership to on-demand, as-a-service, self-driving mobility.

    Mobility As-A-Service

    • Car ownership decline in large urban areas. (London, Paris, NYC, etc.)
    • The rise of urban populations. From 50% today, to 70% in 2050.
    • The rise of e-hailing, car sharing, and on-demand mobility. In 2017, 4 billion rides for Uber, 7.3 billion rides for Didi. Blablacar has 65 million users around the world.
    • Billion USD of private and public investments to accelerate this market.

    Automated Driving

    • Promising less road fatalities and injuries.
    • Promising higher profitability for passenger transport companies. (Uber, Lyft, Transdev, RATP, etc.)
    • Billion USD of private and public investments to accelerate this market.
    • All car manufacturers are investing in this new market segment.
  • But without a driver on-board, transport companies can't safely and securely operate their fleets

    Don't take our word for it. Several market leading companies have told us so and they're already looking for a solution. Please contact us for more information.

    Lack of trust

    • "Survey reveals fear of robot rides has risen with 73% saying they wouldn't trust an autonomous vehicle."***
    • Fleet companies believe that an on-board virtual assistance technology can greatly improve passengers trust.****
     
    ****Per our discussions with a few concerned companies.

    Cost of maintenance

    • Without a driver on-board, fleet companies fear many passenger inappropriate behaviors. (graffiti, cigarette, posture, violence, animal)
    • An on-board camera based solution will help prevent most behaviors.
    • These companies also wish to quickly intervene in case of inappropriate behavior.
    • As with the Autolib experience, dirty vehicles would dramatically lower passengers satisfaction level and compromise success of these services.

    Operations & Assistance

    Without an on-board camera based computer vision solution, fleets of self-driving vehicles can't safely operate.

     

    Fleet operators wish to know their fleet passenger attendance. Our solution can count the number of passengers in real-time.

     

    Our solution is able to detect and alert in real-time in case of:

    • A passenger present in the vehicle when not allowed.
    • An object left behind in the vehicle.
    • An inappropriate behavior. (graffiti, cigarette, posture, violence, animal)
    Also, if needed, our solution can detect passenger identity through face recognition technology.
  • xMotion is developing the perfect solution

    Full-stack embedded computer vision technology.

    SOFTWARE

    Proprietary

    • Embedded, ultra low power consumption pre-trained computer vision software.
    • Real-time detection and alert.
    • Over the air software upgrade.

    HARDWARE

    As a first step, we will buy the sensor from a supplier. If needed, we may develop our own later.

    • One 360° Optical sensor 2D, 3D, motion.
    • Infrared light for night vision.
    • Computer vision processor.

    DATABASE &

    USER INTERFACE

    Our customers will access a secured dedicated database and web interface for passenger safety management, for dataset exchange and for CV model improving.

    API & PLATFORM

    • First, our solution must be able to connect to the on-board safety and security management protocol, as well as to the fleet management software.
    • Then later, our camera-based solution can be used as a platform for other in-vehicle applications (ie. package delivery, work meeting and face-to-face call, virtual reality, , etc.)
  • Multiple benefits

    Both for passengers and for fleet companies.

    Safe and smooth fleet operations

    Just like with a driver today, our solution will allow their fleets to operate safely and without hassle.

    Building trust

    Passengers will know that they are not alone, and that someone will immediately come and take care of them in case of trouble.

    Cost effective

    • More satisfied customers means more income.
    • Less passenger inappropriate behaviors means less costs due to maintenance and repair.
  • Our first targeted niche market

    Fleets of urban self-driving vehicles.

     

    The related companies are now working hard on integrating the whole technology stack in order to launch their fleets as soon as possible. Because these fleets won't be able to operate without our technology, we believe that it is the right time to develop our solution today.

     

    We've validated this problem/solution with a few world renowned concerned companies and we're already discussing with a first potential customer.

     

    So why are we aiming to start with this market? All successful tech startups have started with a small niche market. Once leader at this market segment, we can then expand to other bigger market segments such as described in the next section.

     

    Fleets of autonomous shuttles

     

    Market size projection*: 3850 vehicles projected in 2021, with CAGR 38%.

     

    Targeted customers: Navya, EasyMile, Local Motors, Oxbotica, Auro, SB Drive, Transdev, Keolis, RATP, SNCF, ADP, Arriva, EMT Madrid, Ferrovienord (Italie), RATB (Roumanie), STIB MIVB Bruxelles, etc.

     

    *https://www.technavio.com/report/global-autonomous-bus-market?utm_source=t3&utm_medium=bw&utm_campaign=businesswire

     

    The Tokyo Olympics 2020 is set to push this kind of mobility, with a high level of passenger security.

    Fleets of self-driving taxi or e-hailing vehicles

     

    Market size projection**: from around 1 million vehicles projected in 2025, to 33 million vehicles projected in 2040.

     

    Targeted customers: Uber, Lyft, Didi, Waymo, Apple, Microsoft, Mobileye (Intel), Nvidia, nuTonomy, Transdev, Keolis, RATP, SNCF, ADP, Arriva, Navya, EasyMile, Renault-Nissan-Mitsubishi, Tesla, Volkswagen, PSA, Toyota, Ford, General Motors, Daimler, BMW, Continental, Bosch, Valéo, Delphi, etc.

     

    **https://technology.ihs.com/599099/autonomous-vehicle-sales-to-surpass-33-million-annually-in-2040-enabling-new-autonomous-mobility-in-more-than-26-percent-of-new-car-sales-ihs-markit-says

  • But when we look at the big picture

    Our long term total addressable market is going to be HUGE.

    Passenger car safety

    • New EuroNcap requirements for driver monitoring (2020) and for child presence detection (2022)
    • Occupant Classification System regulation in the USA.
    • Can replace many current sensors.
    • Huge potential market.

     

    Car sharing

    High cost of cleaning and maintenance due to drivers and passengers disrespectful behavior. We can help detect and prevent costly behaviors. Our solution solves a real business problem today.

    Buses & Metros

    • Already highly equipped with video cameras but without computer vision system today.
    • No technical solution perfectly suited today.
    • Paris Olympics 2024 will require high levels of passenger security.

    Fleets of autonomous delivery vehicles

    Without a driver / deliverer on-board, companies such as Amazon, UPS and DHL wish to ensure the right package is delivered to the right customers, and packages are not stolen. We can help them succeed in this matter.

     

    https://www.popsci.com/amazon-cameras

    Trains, aircrafts, cruise ships, space stations

    • Large potential market segments to explore as well.
    • Paris Olympics 2024 will require high levels of passenger security.

    Autonomous flying taxis

    • New promising market segment.
    • Very similar use case as for fleets of urban autonomous robotaxis.

    Drones & Robots

    • Very large future markets.
    • Our very low consumption embedded CV software can probably bring great value to these companies.

    Space travel

    • Many use cases to explore.
    • Ultra low power consumption technology required.
    • Great opportunity as highly funded private companies are entering the market. (Amazon, Virgin, SpaceX, etc.)
  • Our B2B business model

    Annual licence + maintenance fees for each equipped vehicle.

    SOFTWARE & USER INTERFACE

    • Our standard models are pre-trained with publicly available datasets.
    • We will train, validate and test our models with our customers datasets.
    • Continuous improvement through embedded machine learning algorithms.

    HARDWARE

    • If already equipped with on-board cameras, we can deploy our software within our customers infrastructure.
    • If needed, we can develop a custom full-stack solution for our customers.
  • What do you think about our startup project?

    Drop us a message and let's talk about it.

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