Name
Abstract | ||
|---|---|---|
Aiming at the problem that the structure of present agricultural products quality detection system is complicated and its high realization costs, through combining the embedded technology with machine vision technology, the embedded agricultural product quality detection system is realized at last based on ARM, accomplishing the function of agricultural products size, shape, and color and fault detection. The results show that this embedded system can get 94 percent of size and shape detecting accuracy and 83 percent or higher of color and default accuracy. And the system is low cost and would have a good prospect of application in agricultural product quality detecting and grading areas. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23226-8_82 | Communications in Computer and Information Science |
Keywords | Field | DocType |
ARM,embedded system,quality detection | Computer vision,Machine vision,Computer science,Fault detection and isolation,Embedded technology,Real-time computing,Agriculture,Artificial intelligence | Conference |
Volume | Issue | ISSN |
227 | PART 4 | 1865-0929 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongshe Dang | 1 | 0 | 0.68 |
| Jinguo Song | 2 | 0 | 0.34 |
| Qin Guo | 3 | 0 | 0.34 |