<< return to Pixycam.com

User Tools

Site Tools


wiki:v1:overview

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
wiki:v1:overview [2018/05/20 20:04]
pixycam [How Pixy got started]
wiki:v1:overview [2018/05/20 21:03]
pixycam
Line 1: Line 1:
-{{http://​i74.photobucket.com/​albums/​i241/​cmucam/​inhand_zpsb2d6b768.jpg|}}+{{wiki:img:​4181966e4acad6ab4366068c791b644bc453af18.jpg?400}}
  
   * Small, fast, easy-to-use,​ low-cost, readily-available vision system   * Small, fast, easy-to-use,​ low-cost, readily-available vision system
Line 10: Line 10:
   * Configuration utility runs on Windows, MacOS and Linux   * Configuration utility runs on Windows, MacOS and Linux
   * All software/​firmare is open-source GNU-licensed ​   * All software/​firmare is open-source GNU-licensed ​
-  ​* All hardware documentation including schematics, bill of materials, PCB layout, etc. are provided ​+ * All hardware documentation including schematics, bill of materials, PCB layout, etc. are provided ​
  
  
Line 16: Line 16:
 ===== How Pixy got started ===== ===== How Pixy got started =====
  
-Pixy (CMUcam5) is a partnership between the Carnegie Mellon Robotics Institute and Charmed Labs. Pixy comes from a long line of CMUcams, but Pixy got its real start as a [[https://​www.kickstarter.com/​projects/​254449872/​pixy-cmucam5-a-fast-easy-to-use-vision-sensor|Kickstarter campaign]]. It first started shipping in March of 2014, but it’s already ​become ​**the most popular vision system in history**! Pixy is funded exclusively through sales, so thank you for making ​Pixy a success! You can watch the original Kickstarter video below — it’s a good introduction!+Pixy (CMUcam5) is a partnership between the Carnegie Mellon Robotics Institute and Charmed Labs. Pixy comes from a long line of CMUcams, but Pixy got its real start as a [[https://​www.kickstarter.com/​projects/​254449872/​pixy-cmucam5-a-fast-easy-to-use-vision-sensor|Kickstarter campaign]]. It first started shipping in March of 2014 and has since become the most popular vision system in history! Pixy is funded exclusively through sales, so thank you for helping make Pixy a success! You can watch the original Kickstarter video below — it’s a good introduction! 
 + 
 +{{youtube>​J8sl3nMlYxM?​large}} 
  
-{{youtube(J8sl3nMlYxM,​ 480, 360)}} 
  
 ===== Vision as a Sensor ===== ===== Vision as a Sensor =====
Line 56: Line 58:
 Pixy can learn seven color signatures, numbered 1-7. Color signature 1 is the default signature. To teach Pixy the other signatures (2-7) requires a simple button pressing sequence. Pixy can learn seven color signatures, numbered 1-7. Color signature 1 is the default signature. To teach Pixy the other signatures (2-7) requires a simple button pressing sequence.
  
-{{youtube(7znEmgYZXL0, 480, 360)}}+{{youtube<7znEmgYZXL0?large}}
  
 ===== PixyMon lets you see what Pixy sees ===== ===== PixyMon lets you see what Pixy sees =====
Line 64: Line 66:
 PixyMon is great for debugging your application. You can plug a USB cable into the back of Pixy and run PixyMon and then see what Pixy sees while it is hooked to your Arduino or other microcontroller — no need to unplug anything. PixyMon is open source, like everything else. PixyMon is great for debugging your application. You can plug a USB cable into the back of Pixy and run PixyMon and then see what Pixy sees while it is hooked to your Arduino or other microcontroller — no need to unplug anything. PixyMon is open source, like everything else.
  
-{{http://​i74.photobucket.com/​albums/​i241/​cmucam/​Image209_zps1e87977b.jpg|}}+{{wiki:img:​e5c5968ae307c19552d6c6d10fc198d70516aa16.jpg|PixyMon}}
  
 ===== Technical specs ===== ===== Technical specs =====
Line 97: Line 99:
  
 CCs might be particularly useful for helping a robot navigate. For example, an indoor environment with CCs uniquely identifying each doorway and hallway would be both low-cost and robust. CCs might be particularly useful for helping a robot navigate. For example, an indoor environment with CCs uniquely identifying each doorway and hallway would be both low-cost and robust.
- 
-*For more information on Pixy, [[projects/​cmucam5/​wiki.*|go here]] 
  
wiki/v1/overview.txt · Last modified: 2018/06/08 21:23 by jfrench