Inspiration
Kids as an audience i.e. 02-14 years, accounts for 20% of total TV impressions. This is the highest share across all age cuts. (Source: http://www.barcindia.co.in/resources/pdf/A%20Peek%20Into%20Kids%20Viewership.pdf)
There is a detailed report of the same indicating the volume that all the kid's channel has in the total available channel where kids can be incidental viewers, such content may include violent movies, non-appropriate language and other non- kid friendly stuff which may affect the shaping of their thinking and values that they imbibe.
Also, we also have seen parents worrying about their kid's health for watching tv for too long.
This way we are not relieving parents but also making sure we together with dish are shaping a better future and society!
What it does
We can identify inappropriate scenes not meat for kid’s viewership where kids are incidental viewers, we put blurring filters to the video content. This can be done by matching the timeframe-specific labels of your video content with the content labeled inappropriate for kids.
How we built it
Built using :
•Google cloud video intelligence API •curl, JSON •Python
Challenges we ran into
We have to completely revise the idea as the technology we worked to wish with does bot had it's endpoints available yet.
Accomplishments that we're proud of
We didn't give up!
What we learned
•How to think around the user- case •Integrating the API and running the python script for processing the video for the obscene and nude scene.
What's next for Smartbox
It will accommodate a content recommendation engine with labels generated by Google Cloud Video Intelligence and a user’s viewing history and preferences. This will simplify content discovery for your users and guide them to the most relevant content that they want.
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