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
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.
Over 40% of countries worldwide use facial recognition to track, monitor, or reduce COVID-19 transmission
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
Face-recognition capture technology is relatively easy to use. Taking a photograph requires minimum training for operators and little behavioral change in users
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
Advantages of Face recognition datasets:
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%)
It provides technology that is easy to understand
Voice recognition is widely adopted because people are familiar with it, and it’s easy to use
It reduces costs
Setting up a voice-based ID system is cost-effective because it requires simple voice-capture hardware, such as a microphone, and associated matching technology
It does not interfere with personal space
Voice recognition doesn't raise concerns about personal hygiene or cultural appropriation, since the voice- capture process requires no physical contact between individuals and a device, and no physical intervention by operators. Voice can also be used to remotely authenticate users. For example, it can be used in call centers to identify a customer
Biometrics technologies’ revenue in 2022 was $43B, and the global biometrics market is forecast to reach $83B by 2027
The public sector is the biggest end-user of biometric technologies, with ~32% of the market share
The airport biometric technology market made $390M in revenue in 2022. That’s 22% more than in 2021
74% of airports worldwide want to introduce some biometric identification technology
Over 40% of countriesuse facial recognition to track, monitor, or reduce COVID-19 transmission
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. Simple