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:dart: Nerf gun turret powered by IoT, machine learning, image recognition, speech to text and natural language processing.

License: MIT License

JavaScript 100.00%
image-recognition iot machine-learning natural-language-processing speech-to-text

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intelligentnerfturret's Issues

Configure RP Camera

Enable and setup the RP camera. Be able to take images and store to a local directory with a node application.

Hot-wire Nerf

Hot-wire Nerf with RP3 to be able to trigger using GPIO pins.

Requirements: #2

Implement Servo Motors Logic

Using Johhny-Five and the Arduino, control the servo motors so they can rotate a specified value (degrees won't be determined until the mount with gears is 3D printed).

Requirements: #4, #6

3D Print Swivel Mount

Find/design/create the modeling for the mount. This task should be broken down into smaller pieces.

  • Base
  • Platform Disk
  • Platform Cover
  • Gear
  • Nerf Mount

Please reference all 3D Print related issues - this will act as the parent task.

Create Power Supply for Servo Motors

Depending on the specifications of the servo, ensure a sufficient and separate power supply can power two motors.

Typically power bank of batteries work well.

Train CVS

Learn and train Microsoft CVS with basic target images to be able to successfully recognize and classify.

Configure Arduino

Be able to control the Arduino with with RP3 using Johnny-Five.

Requirement: #2

Setup RP3

Setup RP3 with operating system connected to wifi. Be able to SSH into the device.

Hit CVS with Camera Image

Be able to capture an image and send to CVS for classification. Scaffold code to implement classification positive and negative based on CVS results.

Requirements: #2, #3, #7

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