The CMUcam Vision Sensor - Robotics Institute Carnegie Mellon University
Graphical depiction of the The CMUcam Vision Sensor project
The CMUcam Vision Sensor
Project Head: Illah Nourbakhsh

CMUcam is a new low-cost, low-power sensor for mobile robots. You can use CMUcam to do many different kinds of on-board, real-time vision processing. Because CMUcam uses a serial port, it can be directly interfaced to other low-power processors such as PIC chips.

At 17 frames per second, CMUcam can do the following:

  • track the position and size of a colorful or bright object
  • measure the RGB or YUV statistics of an image region
  • automatically acquire and track the first object it sees
  • physically track using a directly connected servo
  • dump a complete image over the serial port
  • dump a bitmap showing the shape of the tracked object

Using CMUcam, it is easy to make a robot head that swivels around to track an object. You can also build a wheeled robot that chases a ball around, or even chases you around. In the Gallery, you can see pictures and videos of some of the robots we and others have built with CMUcam.

Displaying 3 Publications

2007
Anthony Rowe, Adam G. Goode, Dhiraj Goel, and Illah Nourbakhsh
Tech. Report, CMU-RI-TR-07-13, Robotics Institute, Carnegie Mellon University, May, 2007
2002
Anthony Rowe, Chuck Rosenberg, and Illah Nourbakhsh
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol. 1, pp. 208 - 213, September, 2002
2001
A. Rowe, Chuck Rosenberg, and Illah Nourbakhsh
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition (Tech Sketches), December, 2001

current head

current contact

past staff

  • Chuck Rosenberg
  • Anthony Rowe