Biometric data

Biometric data plays an important role in ensuring security and safety. Biometric recognition uses fingerprints, iris patterns, voice, handwriting, etc. Rapid development of such technologies is based on availability of biometric datasets

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We’ve been working
with biometrical data for 6 years

99.8% accurate

/01

Percentage of the cases in which the technology matches records
100% universal

/02

People in datasets are from different regions and age groups
92% stable

/03

Percentage of the biometric permanence over time (e.g., for children, or the elderly)
100% compliance with documentation

/04

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Biometrics datasets help with

Face recognition

Face recognition uses the features of the face that do not change significantly with age or through surgery. These include the eyebrow ridge, cheekbones, edges of the mouth, distance between the eyes, width of the nose, and shape of the jawline and chin

Currently, face-recognition technology is used mainly in security (such as in automated border clearance systems and surveillance) as well as to govern individuals’ physical access to facilities

Voice Recognition

Voice-recognition technology interprets voice patterns to recognize individuals based on the tone of voice. These systems use a spectrograph to convert collected voice samples into a visual representation of a sound. This spectrograph is then used for verification or identification purposes

Using more than 100 physical and behavioral factors (including pronunciation, intonation, speed, accent, vocal tract, and mouth and nasal passages), voice-recognition technologies can create a unique voice signature of an individual

Voice recognition is now being used by many banks as a biometric authentication method, especially when providing banking services to customers over the phone

Voice recognition is expected to grow the most among biometric technologies, from $10B to $27B in 2027 (+63%)

What problems does
voice recognition solve?

Performance

This technology can be used in large-scale identification systems, including inter- agency and cross-border identification cases, since the accuracy of three-dimensional face matching has improved significantly
Adoption

Face-recognition capture technology is relatively easy to use. Taking a photograph requires minimum training for operators and little behavioral change in users
Affordability

Facial recognition has become increasingly affordable due technological advances in smartphone camera systems. Where facial-recognition systems are used for automated identification searches (1: N) on large databases with poor- to medium- quality of input photos (which is often the case), system owners can expect higher operating costs due to a higher rate of manual adjudication

Biometrics datasets

All datasets

Datasets provide vital information for security development and if your company works with biometrics – our datasets can provide accurate data that is the base of a successful project/ More successful projects – more revenue

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

Project Team Leads

Vladislav Barsukov

Operations manager

Arthur Kazukevich

Python-developer

Kristina Bugaeva

Project manager

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