SignLang

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  SignLang

Problem:

90% OF DEAF PEOPLE FIND IT DIFFICULT TO GET ACCESS TO DAILY SERVICES!

• Today, 72 million people use sign language for primary communication • In Europe on average, there is less than 1 sign language interpreter per 100 sign language users • Many communities have access to auditory support devices like hearing aids or implants to «comply» with European Accessibility Act

but...

• Over 90% of surveyed people find it extremely difficult to get an efficient quality access in services such as medical, banking, education, etc. • 72% of them live in homes with families that don’t learn sign language • Overall, unaddressed hearing loss poses an annual cost of US $750 billion

SignLang aims to become the leading technology solution across Europe, helping people with hearing impairment to break barriers of communication.

Solution:

SIGNLANG IS A REAL-TIME GESTURE RECOGNITION TECHNOLOGY

A technology that combines a hardware and a software and ensures of gesture dialog logging and immediate translation of sign language to text or voice and reverse

• Deepsign uses machine learning algorithms and inverse kinematics and enables dynamic training
• The neural network detects the gesture and process into dataset, then maintains the dataset and trains itself

Market:

TODAY, OVER 5% OF WORLDS POPULATION HAS DISABLING HEARING LOSS

466 million people in 2018 and growing. It is expected by World Health organisation that in 2050 this number would be 900 million.

We estimate Total Addressable Market to be at US $7 bn. for the service providers

Business Model, revenue model and pricing:

1) One-time sale of SignLang device (camera + tablet) per e.g. bank branch or hospital at $ 1100 per set 2) Annual dataset license subscription at $ 500 per user per year

Advantages or differentiators:

SignLang is

• The only two-sided translation solution • Does not use a stationary device and has only 1 camera (not more) • Does not require any additional equipment such as 3D or sensor gloves

What's next for SignLang

We plan to develop and test an MVP in banking sector in Hamburg, Germany with a dataset of over 2000 sign language interpretations enabling a two-way communication between retail banking service providers and sign language user.

Built With

• deepsign