PiScanner | Project Execution [Declaration]

Raspberry Pi

Hello Hello Hello!

//If you just want to see the PiScanner Progress, skip the next 2 blocks

So, you may have noticed an absence of recent posts on this website. This is due to a few factors but the main one is a lack of focus. Not a lack of focus in a multi-tasking sense, but in a sort of literal sense. I’ve got foggy fragments of ideas, but no concrete ideas that are feasible. I think that the introduction of the “Project Execution” prefix in the title of this post (and hopefully all of my other project-based posts) will keep me “responsible” in regard to things I try and undertake.

There will be 5 steps for each project.

  1. Declaration
  2. Research
  3. Documentation
  4. Report feasibility [1] (This is where we will learn if the project is possible or not, and if not why.), Share all code [2] Take Lots of pictures [3]
  5. Demonstrate / Distribute
Now to PiScanner
After Receiving my Raspberry Pi :

Raspberry Pi

In the mail recently, I’ve got a whole new area of new more powerful computer science to enter into, and I think the PiScanner is the best way to do this.

 

The PiScanner will be a program that will identify motion using a PIR detector in junction with the GPIO pins, capture an image using a webcam or other camera compatible with the ports on the board, and then upload that image to a server to be viewed via rss.

 

This will be great for my backyard at night, it’s like animal planet out there this time of year and it will teach me a bunch of new things upon completion.

 

Check back for more!

 

1 Comment

  1. Hey rather cool internet web-site!! Man .. Beautiful .. Wonderful .. I’ll bookmark your internet website and take the feeds also橧’m pleased to uncover numerous beneficial details proper here inside the submit, we will require develop far far more strategies in this regard, thanks for sharing. . . . . .

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.