Abstract
A prototype machine vision system for automatically inspecting corn kernels was designed and built. A strobe light was used to eliminate image blur due to the motion of corn kernels. Kernel singulation and the synchronization of strobe firing with the image acquisition were achieved by using optical sensors. Control circuitry was designed to enable synchronization of strobe firing to the vertical blanking period of the camera. Corn kernels of random orientation were inspected for whole versus broken percentages and on-line tests had successful classification rates of 91% and 94%for whole and broken kernels, respectively.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 491-497 |
| Number of pages | 7 |
| Journal | Transactions of the American Society of Agricultural Engineers |
| Volume | 40 |
| Issue number | 2 |
| State | Published - 1997 |
Keywords
- Automation
- Classification
- Corn
- Design
- Machine vision
ASJC Scopus subject areas
- Agricultural and Biological Sciences (miscellaneous)