Google’s Paper Signals: Create Paper Objects Which Show Real World Data

Google’s latest voice experiment, named ‘paper signals’ allows you to control paper-objects with voice commands, showing you some real life data. These paper objects can show you data such as – is it going to rain at a place today? Is the weather too cold for shorts? Are the Bitcoin prices going up or down, etc. Paper Signals will be controlled by the Google Assistant.

The Google Assistant is one of the most powerful tools that Google has at the moment. With the help of the Google Assistant, the company is taking rapid strides towards an AI-first future. These Paper Signals are another step in that direction.

Google’s paper signals are basically build-it-yourself objects which can help you show various real-world data indicators. All one needs to do is to order the paper signals bundle (available here for $24.95), and take print-outs of some pre-set designs. Next, you need to assemble these pre-set designs along with the wires from the bundle and fold them together!

After you’re done assembling the setup – all you need to do is to open up your Google Assistant and say: OK Google! Talk to Paper Signals.

Following that, your Google Assistant will ask you what would you like your signal to track. In the example above, you can ask it to track rain in any city of the world – if there are chances of rain, the umbrella would open up. Similarly, there are a number of other objects that you could create to track data. For example, you can make use of paper signals to track Bitcoin prices – every time the price would go up, the arrow would point upwards and as soon as it begins to go down, it would point downwards!

Google has provided some pre-set formats which can be used to create basic objects. However, you can also create your code your own signals to track custom data. The code for controlling and creating custom objects can be found on Github here.

Source: Google

The post Google’s Paper Signals: Create Paper Objects Which Show Real World Data appeared first on Google Tricks Blog.



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