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.
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.
360 million potential users
Integration into main messengers
High degree of relevance to the target audience
360 MILLION PEOPLE WITH HEARING IMPAIRMENT IN THE WORLD
32 MILLION OF THEM ARE CHILDREN
HEARING LOSS AFFECTS 1.1 BILLION PEOPLE TO VARYING DEGREES
ARRM.IO's ARRMKit-based Sign Lang module
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.
ARRMKit 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.
HOW DOES ARRMKIT WORK?
«THE HAND IS THE VISIBLE PART OF THE BRAIN» IMMANUEL KANT
ARRMKit 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. Machine Learning algorithm allows to сreate intuitive user-friendly interface which could be used with the majority of existing AR/VR products.
OUR BEST FEATURES
ARRMKit SignLang is a sign language retranslator using the schemes 'gesture-text-voice' and 'voice-text-gesture'. The weight of the product is due to total lack of services for automated direct communication between and feedback from deaf and dumb, hard-of-hearing users, and other users. A sign language alphabet will be integrated into the retranslator thanks to which machine learning will contribute to ARRMKit SignLang identifying words and expressions, and constructing whole sentences in a dialog box. The main convenience of ARRMKit SignLang is that it can be easily integrated into already existing messengers, such as Skype, Telegram, WhatsApp, Viber, etc.
"Nobody did it." Belarusians create a unique gesture recognition platform"Nobody did it." Belarusians create a unique gesture recognition platform (ru)