CASE STUDY

Cutting Edge Identity Protection Using Machine Learning and Biometrics

    Overview

    TrustStamp is a computer vision and biometric startup that provides identity and trust as a Service to answer two fundamental questions: “Who are you?” and “Do I trust you?”. 10Clouds has been providing a staff augmentation service for TrustStamp for over 5 years, including Python developers specialized in Machine Learning and data processing.

    10C engineers were highly involved in TrustStamp’s R&D projects. They worked with strong collaboration or under the supervision of the client's main Data Scientist. Still, developers had much independence in their day-to-day work, including both implementation and research.

    Project Name

    Trust Stamp

    Services

    Biometric Authentication System, Machine Learning Algorithms, Design, Front-end Development

    Type

    Web Application

    Industry

    security

    Our challenge

    The most frequent problem was to find the encoding of an object. The encoding is a fixed-size vector of numbers. Some projects had also restrictions about the maximal size due to limited resources of the final device. Another class of problem was to detect malicious data and attacks on existing systems. Also, many smaller issues had to be solved while working on the whole algorithm like answering the questions: is the quality of a picture good enough? where is the object on an image? how to increase the amount of data and/or its quality?

    How we made it happen

    The solutions were usually deep neural networks trained and evaluated by our engineers. Especially convolutional neural networks (CNN). However, many classical Machine Learning algorithms were in use as well. We also involved methods from Computer Vision to pre- and post-process images but also to detect objects.

    Key Functionalities

    1

    Proof of Liveness

    The system 10Clouds built is based on machine learning. It uses a face embedding process to create a biometric hash, which is unique to each user’s profile. Then it needs only one photo to determine whether the person in it is an actual living human and not just a photo or video.

    See more case studies

    Arroe
    ARROE exists to free people from having to use electrical wall sockets by creating an ecosystem of technology products that allows users to stay in charge all day every day. It’s aim is to make its revolutionary technology available to anyone that wants to enjoy freedom while at the same time staying connected in a digital world.
    Zapp RideShare
    Zapp RideShare is an electric scooter rental service operated with a mobile app. Our team is responsible for the complete product makeover.
    Royals
    10Clouds has built the iOS app for a social media game based on dynamic user interactions. Our team took care of a complex loot box system, design elements, and scalable infrastructure.