Contact Us

Liveness Detection

Anti-Spoofing for a biometric access system reduced the number of missed attacks from 18% to 1%

Industry and use case:

Safety

Data:

10,000 video attacks

Project duration:

21 days

Our Challenge:

The client required an enhancement in the metrics of their biometric access system for banking programs; the neural network was missing 18% of attacks. According to specifications, the anti-spoofing dataset necessitated a diverse array of mobile devices and accessories (masks, wigs, glasses, scarves, etc.). The client approached us due to their internal team’s unsuccessful experience in data collection, coupled with time constraints regarding the dataset

Our Solution:

Since the biometric system only required refinement for complex and atypical appearance scenarios, we artificially generated 10,000 video attacks. We assembled a team of 20 individuals who created diverse filming conditions, using paper masks and various props. Each assessor simulated attacks involving 500 individuals

Outcomes:

  • The client successfully trained the neural network, reducing the number of missed attacks from 18% to 1%
  • A pre-assembled “bank of props” tailored for such tasks enabled us to complete the project 3 days ahead of schedule

Stages of work

  • Application

    /01
    Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price

  • Free pilot

    /02
    We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics

  • Agreement

    /03
    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers

  • Workflow customization

    /04
    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details

  • Quality control

    /05
    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data

  • Post-payment

    /06
    You pay for the work after receiving the data in agreed quality and quantity

Timeline

  • 24 hours
    Application
  • 24 hours
    Consultation
  • 1 to 3 days
    Pilot
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
in the established quality and quantity

Why
Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions
woman

Tell us about your project!

    Choose interested services:

    Select an option

    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

    • Other (describe below)