Picture of the OptiVID controller for video

So far, users with low vision are excluded from digital video consumption (e.g. YouTube, Netflix, etc.). With OptiVID, users are able to define individual video enhancement profiles (e.g. increased contrast, reduced brightness, edge enhancement, etc.), which are further applied on digital videos to increase the video viewing experiences.


Enhancement of digital videos for users with low vision.

Target group

Users with visual impairments.

Impact for citizen

Users with low vision are empowered to consume digital video content which supports in further consequence social participation, information seeking or video based e-learning.

Impact for staff

Users with low vision are able to consume digital video content by themselves, i.e. , carers are not needed to support them during this activity.

Economic impact

Several business cases are possible. For example, users with low vision could use the system for free, and professional broadcasters (e.g. BBC in the UK, ORF in Austria, etc.) or digital content providers (e.g. YouTube and Netflix) pay for using OptVID in their system.

Cost of product

Depends on business case. In general, for end users fee should be avoided or low. Content providers should bear the main costs.

Life expectancy of product

Digital product -> if maintenance is guaranteed, OptiVID can be used for a long time.

Other costs of acquisition and setup


Expected annual costs


Special requirements

Digital video platform is needed, e.g., a PC to access YouTube, or a digital TV which enables optimization of TV broadcasts.

Is the product for personal use or can it be used by (how) many people?

Because it is a digital product, scalability is not an issue. In general, video optimization for low vision is highly individual so each user needs a separate profile.

Is the product intended for training purposes?


How much time is needed for the user or staff to get to know how to use of the product?

According to our user studies, a training session is recommended to show how the system works. After that, users should be able to operate the systems by themselves.

Has the product been presented before at other exhibitions or venues?

AAL Forum 2018.

Experiences from practice

OptiVID is still in development (ongoing, funded research product), so far only laboratory user studies had been executed. However, for most of our study participants OptiVID provided an increased video experience. Users were able to detect significantly more details, and also faces and text were better recognisable.

Cases stories

Diana, a 62 year old secretary, suffers from age-related macular degeneration. Her employer provided technical tools to guarantee, that she is still able to fulfill her job duties, e.g. a screen-reader for her working PC or high contrast forms. However, because of her visual impairments, she is not able to watch and recognize her beloved language learning videos on YouTube anymore. Her local self-help organization shows her the OptiVID-system, and after a short training session she is able to apply individual video filters on Youtube-filters at home on her private PC to consume her learning videos.