Sivol

SIVOL is a project in which we want to present a fast implementation of shape-based object recognition to be used for agricultural purposes. Current methods are based on pixel based color detection. This comes with a lot of disadvantages, such as blending of objects in the background. Therefore we want to explore the feasibility of more advanced image recognition methods for these applications.

The main reason why shape-based recognition isn't used for agriculture, are the need of a high processing speed and the higher requirements because of the environmental conditions. Dust, vibrations and illumination are only a few of the factors that can influence the recognition. Also the high variety of to-be-detected shapes requires more sophisticated algorithms.

Currently, we're doing a preparing study of one year. Our objectives are as follows:


 * 1) Getting an overview of the current state of robust shape-based recognition techniques and their use in agriculture.
 * 2) Building up a contact directory of possible national and international partners, both industrial and academic.
 * 3) Investigating the demand and interest from the agricultural industry concerning these more advanced vision techniques and possible bottlenecks when transforming to more commercial implementations.
 * 4) Building a demonstration application, to show the potential of shape-based object recognition.
 * 5) Composing a request for a continuing project, responding to the needs of the interested (Flemish) companies.

Useful information:

 * A list of gathered Sivol Literature
 * Vegetation-Background Segmentation
 * Mogelijke User-Cases