An Imaging System for the Monitoring and Analyses of Honeybees Foraging Behavior
Date Issued
2010
Date
2010
Author(s)
Chen, Chiu
Abstract
This research has developed an imaging system for the monitoring and analyses of honeybees foraging behavior. The system can do long-term detection and monitor for the entering and leaving information of honeybees at the hive entrance under the premise of minimal influence on their normal behavior. The hardware of system are consists of shell, channels and CCD camera. System shell was made by dark opaque acrylic materials and mounted with static IR projector for robust image process. Two major software include in this research are OpenCV and libsvm, system is developed under the environment of Borland C++ Builder. For practical operation, the system must be installed and connected with the beehive, the channels within the system can normalize the movement of honeybees to make sure that each runs are under the field of view of camera. For monitoring the behavior of each honeybee, a circular label sticker with numbers or letters information is applied to this system. The region of sticker was detected by the method of Hough circle transform. One black dot is marked on sticker for normalization of numbers or letters recognition. Arabic numbers or English letters on sticker are then be identified by SVM number classifier. Finally, our proposed system can record the time information of entering and leaving of honeybees. The identification rate of the labeled sticker of the system program is above 97%, and the accuracy rate for the entering and leaving of honeybees is above 86%.
Subjects
Honeybee
Image processing
Machine learning
Optical character recognition
Support vector machine
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