machine learning project
Budget: $30 – $250 USD
: Digital billboard solution backed by the IoT at various locations including the railway station,
malls, flyovers, tolls, etc.
The anonymized eye iris counter data will be captured from the camera attached to the screen.
If eye recognition is not possible we can use ML/AI to catch face angle along with the estimation
of the people density of the place and get the data on many times the screen was looked at.
This data can be used to give us(publisher) visibility and eventually advertisers’ ROI can be
improved.
The advertisers will be able to choose the time of the day on each location when the
advertisement will be displayed.
Note: The face recognition data will not be caught and will not be stored but Its time-series view
counter will be stored in the database.
Tech Requirements:
A simple interface to put advertisements capable of uploading advertisements images/videos on
the portal.
Deployments:
Production deployment can be done through the same panel by a grouping of the devices.
All
IoT devices will have a unique id based on their MAC addresses.
Tech Requirements:
ReactJS Frontend
NodeJS Backend
Hardware:
Raspberry pi
We can probably add more cores depending on the requirements.
We are looking for an IOT solution which will connect with Digital Billboards installed at various locations.
This solution should provide us Eye catching data of realtime public who comes infront of the Billboards and watch the advertisement on those billboards for any specific time (If possible).
We will provide a user panel to customer, customer will get designed advertisement of their requirements or choice, will send it to us for approval, we will approve it and will push it to go live, pause or delete.
Everything should be automatic.
Customer will have to recharge money in their panel, buyer will have the choice to select the tenure and timings of their advertisement.
After recharge money is finished, ads will not run.
All the eye catching data should be stored on our system ads wise and will be shared to our customers as per their ads.
Customer can check the data on daily basis or custom time range.
malls, flyovers, tolls, etc.
The anonymized eye iris counter data will be captured from the camera attached to the screen.
If eye recognition is not possible we can use ML/AI to catch face angle along with the estimation
of the people density of the place and get the data on many times the screen was looked at.
This data can be used to give us(publisher) visibility and eventually advertisers’ ROI can be
improved.
The advertisers will be able to choose the time of the day on each location when the
advertisement will be displayed.
Note: The face recognition data will not be caught and will not be stored but Its time-series view
counter will be stored in the database.
Tech Requirements:
A simple interface to put advertisements capable of uploading advertisements images/videos on
the portal.
Deployments:
Production deployment can be done through the same panel by a grouping of the devices.
All
IoT devices will have a unique id based on their MAC addresses.
Tech Requirements:
ReactJS Frontend
NodeJS Backend
Hardware:
Raspberry pi
We can probably add more cores depending on the requirements.
We are looking for an IOT solution which will connect with Digital Billboards installed at various locations.
This solution should provide us Eye catching data of realtime public who comes infront of the Billboards and watch the advertisement on those billboards for any specific time (If possible).
We will provide a user panel to customer, customer will get designed advertisement of their requirements or choice, will send it to us for approval, we will approve it and will push it to go live, pause or delete.
Everything should be automatic.
Customer will have to recharge money in their panel, buyer will have the choice to select the tenure and timings of their advertisement.
After recharge money is finished, ads will not run.
All the eye catching data should be stored on our system ads wise and will be shared to our customers as per their ads.
Customer can check the data on daily basis or custom time range.