Quiz for 14 (#160)

* Adding content

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* Adding lesson tempolates

* Fixing code files with each others code in

* Update README.md

* Adding lesson 16

* Adding virtual camera

* Adding Wio Terminal camera capture

* Adding wio terminal code

* Adding SBC classification to lesson 16

* Adding challenge, review and assignment

* Adding images and using new Azure icons

* Update README.md

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* Sketchnotes!

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* Starting on lesson 18

* Updated sketch

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* Almost done with LUIS

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* Reverting sunlight sensor change

Fixes #88

* Structure

* Adding speech to text lab for Pi

* Adding virtual device text to speech lab

* Finishing lesson 23

* Clarifying privacy

Fixes #99

* Update README.md

* Update hardware.md

* Update README.md

* Fixing some code samples that were wrong

* Adding more on translation

* Adding more on translator

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* Update README.md

* Adding public access to the container

* First part of retail object detection

* More on stock lesson

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* Update pi-sensor.md

* IoT Edge install stuffs

* Notes on consumer groups and not running the event monitor at the same time

* Assignment for object detector

* Memory notes for speech to text

* Migrating LUIS to an HTTP trigger

* Adding Wio Terminal speech to text

* Changing smart timer to functions from hub

* Changing a param to body to avoid URL encoding

* Update README.md

* Tweaks before IoT Show

* Adding sketchnote links

* Adding object detection labs

* Adding more on object detection

* More on stock detection

* Finishing stock counting

* Tidying stuff

* Adding wio purchase link

* Updating Seeed logo

* Update pi-proximity.md

* Fix clean up link

Fixes #145

* Moving attributions to a separate file

* First draft of edge classifier

* Adding extras

* Moving folder

* Adding lesson 11 questions

* Image improvements

* More image tweaks

* Adding lesson 12 quiz

* Quiz for lesson 13

* Adding quiz for lesson 14
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Jim Bennett 4 years ago committed by GitHub
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@ -16,6 +16,10 @@ In this lesson we'll cover:
* [Retrain the model](#retrain-the-model)
* [Count stock](#count-stock)
> 🗑 This is the last lesson in this project, so after completing this lesson and the assignment, don't forget to clean up your cloud services. You will need the services to complete the assignment, so make sure to complete that first.
>
> Refer to [the clean up your project guide](../../../clean-up.md) if necessary for instructions on how to do this.
## Stock counting
Object detectors can be used for stock checking, either counting stock or ensuring stock is where it should be. IoT devices with cameras can be deployed all around the store to monitor stock, starting with hot spots where having items restocked is important, such as areas where small numbers of high value items are stocked.

@ -24,6 +24,10 @@ In this lesson we'll cover:
* [Support multiple languages in applications with translations](#support-multiple-languages-in-applications-with-translations)
* [Translate text using an AI service](#translate-text-using-an-ai-service)
> 🗑 This is the last lesson in this project, so after completing this lesson and the assignment, don't forget to clean up your cloud services. You will need the services to complete the assignment, so make sure to complete that first.
>
> Refer to [the clean up your project guide](../../../clean-up.md) if necessary for instructions on how to do this.
## Translate text
Text translation has been a computer science problem that has been researched for over 70 years, and only now thanks to advances in AI and computer power is close to being solved to a point where it is almost as good as human translators.

@ -1321,6 +1321,108 @@
]
}
]
},
{
"id": 27,
"title": "Lesson 14 - Geofences: Pre-Lecture Quiz",
"quiz": [
{
"questionText": "GPS coordinates can be used to check if something is in a defined area",
"answerOptions": [
{
"answerText": "True",
"isCorrect": "true"
},
{
"answerText": "False",
"isCorrect": "false"
}
]
},
{
"questionText": "GPS is incredibly accurate so can indicate with precision of less than 1M when a device enters a given area",
"answerOptions": [
{
"answerText": "True",
"isCorrect": "false"
},
{
"answerText": "False",
"isCorrect": "true"
}
]
},
{
"questionText": "Geofences are useful when tracking vehicles to:",
"answerOptions": [
{
"answerText": "Determine when a vehicle enters a given area only",
"isCorrect": "false"
},
{
"answerText": "Determine when a vehicle leaves a given area only",
"isCorrect": "false"
},
{
"answerText": "Determine when a vehicle enters or leaves a given area",
"isCorrect": "true"
}
]
}
]
},
{
"id": 28,
"title": "Lesson 14 - Geofences: Post-Lecture Quiz",
"quiz": [
{
"questionText": "To have multiple services pull data from an IoT Hub, you need to create multiple:",
"answerOptions": [
{
"answerText": "Consumer groups",
"isCorrect": "true"
},
{
"answerText": "Pipes",
"isCorrect": "false"
},
{
"answerText": "IoT Hubs",
"isCorrect": "false"
}
]
},
{
"questionText": "The default search buffer for a geofence call is:",
"answerOptions": [
{
"answerText": "5m",
"isCorrect": "false"
},
{
"answerText": "50m",
"isCorrect": "true"
},
{
"answerText": "500m",
"isCorrect": "false"
}
]
},
{
"questionText": "Points inside the geofence have a distance:",
"answerOptions": [
{
"answerText": "Less than 0 (a negative value)",
"isCorrect": "true"
},
{
"answerText": "Greater than 0 (a positive value)",
"isCorrect": "false"
}
]
}
]
}
]
}

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