Visionear – Cure for Deafness
Through a wide variety of mobile applications.
- Client VertigoWorks
- Date 25 June 2022
- Services Demo App
- Thanks Vertigo Team
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Through a wide variety of mobile applications.
Visionear is a MVP concept that aims to cure deafness through technology. The application helps the deaf by convert sound into visual form through Cutting Edge Technology and present it to deaf. The text or other visuals being near the speaker face and in real-time so the deaf can easily read and understand it. This cures the effects of deafness such as social isolation.
Visionear involved a problem of curing deafness through the latest Mixed Reality and Artificial Intelligence Technology. In order to achieve the goals there were many attempts of finding a technology which was portable, usable. feasible both technically and financially. After looking into many frameworks such as Unity, Mods of Unity, many Mobile AR Frameworks & Hybrid approach of Unity & Mobile we finally found something that had the criteria for the system.
Flutter Framework was used to create the mobile app since it is much more native as compared to some of the other frameworks and a technology which is new with good reviews. Using flutter we accessed the camera module and implemented 2D text manipulation to move the text. The person face is detected through AI models and the coordinates are given to the 2D algorithm to track and follow the face. The text is generated through NLP AI Models, and it is refreshed every time. There are other features to aid the deaf such as nearby sound alerts, sentiment analysis and visual customization options.
By the end of the designated timeframe a MVP was formed with the the following features:
1. Speech to Text in a mixed reality settings using a phone without internet in real-time.
2. Sentiment Analysis with the generated text in real-time.
3. Text Customization Options
4. AR & VR modes that work with Cardboard AR & VR.
There were some features that didn’t make it in the final build which were proposed by us initially:
1. Nearby Sound Analysis did not have the best accuracy however we were nearly there.
2. Personality detection was not working accurately at all, and it was almost random.
3. More confidential features that await future ventures.
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Although I don’t see myself as a person that someone should take wisdom from, but I do have a lot of opinions about life and here’s one of them. In my opinion, one should first learn to be efficient in learning before their journey of learning anything. It’s like sharpening your axe before cutting 1000 woods; you may want to learn the best skill of them all before you embark on your journey as a student of knowledge throughout life.
In my days of university, I saw people put in efforts to get good grades. I didn’t make much effort myself and did very well, while others worked harder without any luck. Why is that the case? Effort does not equal results; you have to be both smart and hardworking to win. What I did was simple: I was attentive in class and cleared all my ambiguities then and there by asking a lot of questions – a lot.
I think that was it, and pretty much minimized the waste of time where I would have to search the internet and books. Instead, I asked the teacher and maximized efficiency of time by teaching others, memorizing headings, and understanding what would give me good grades.
I did very well in my university without studying as much, and I never planned efforts to do this; this was very automatic for me. But when I see others fail while realizing I did much less to prepare, I contemplated whether it was luck or something else.
Learning to learn will help you throughout life with difficult learning situations; you’ll know how to make it automatic. Finding ways to lean process makes it efficient and waste less of your resources. Learning more with less time is like knowing more than what you will otherwise; would you not want that?
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