Gesture Recognition
Technology

Gesture Recognition
Technology
MISSION
«THE HAND IS THE VISIBLE PART
OF THE BRAIN» IMMANUEL KANT
DeepSign is a self-learning framework for real-time gestural analysis that provides high speed recognition with great accuracy using minimal hardware and minimal computing power. All that's required is a simple web or mobile camera found in everyday laptop or smartphone.
PROBLEM
There is a significant gap between the needs of people with hearing impairment and the opportunities offered by modern technological solutions. The needs of the deaf are often left behind. It is necessary to make a technological breakthrough in this segment and to translate the barrier-free communication environment to a qualitatively new level.
People with hearing impairment find it difficult to obtain full access to social services and participate in public events.
Attempts to create an effective barrier-free communication environment that uses the capabilities of information technology have so far not been successful.
MARKET
360
32
133
MILLION
MILLION
FEDERATIONS
PEOPLE WITH HEARING IMPAIRMENT IN THE WORLD
OF THEM ARE CHILDREN
NATIONAL DEAF FEDERATIONS

DEEPSIGN
DEEPSIGN is a technological core for our own products, aimed to bring breakthrough technology into various spheres, like new-generation user experience, transportation and logistic, emergency services, military-industrial complex, medicine.
Video
SignLang
Processing
Text
Voice
SignLang App cross-platform
DeepSign
backend
Video
from cam
HOW DOES IT WORK
Recognition
Accuracy
Time
for teaching
FPS
Volume
of Dataset
ADVANTAGES
Provides high speed real-time recognition with great accuracy using minimal hardware and minimal computing power.
All that's required is a simple web or mobile camera found in everyday laptop or smartphone.
Machine Learning algorithm allows to create intuitive user-friendly interface which could be used with the majority of existing products.
SIGNLANG
ARRM SignLang is a sign language retranslator using the schemes 'gesture-text-voice' and 'voice-text-gesture' based on DeepSign technology. The weight of the product is due to total lack of services for automated direct communication between and feedback from deaf mute users.
Voice
Gesture
Gesture
Voice
Text
Text
MVP
CORE TEAM
ROMAN GROMOV
Co-founder
ILYA LESUN
CEO, Co-founder
DENIS MILUTIN
CBDO, Co-founder
DMITRY ZAIKO
CIO, Co-founder
PHILIPP BARANOV
CTO
ALEXEY SINDUKOV
Project Manager
ANTONINA SUDILOVSKAYA
Product Manager
SERGEY TITOV
Head of Design
hello@arrm.io

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