Real Time Recognition and Sorting System by using ADSP BF533
The industrial situations requiring articulation, manipulation and orientation of various diversified components based on shape, size and geometry require an automated intelligent machine vision and retrieval system. In this paper, a scheme for incorporating intelligence in the form of machine vision system is reported, which will facilitate the orientation, positioning and disposal of objects as required for any specific purposes. The system module of this intelligent machine vision system employs digital signal processor (ADSP BFS33 Blackfin kit), image acquisition system (CCD camera of make JK-309), and workplace with hardware components. The system configuration is developed using integrated developing and debugging environment (IDDE) Visual DSP 4.5 by designing the dedicated software. For this, a data base is generated containing the information of different pattern to recognize. It will include the digital signature of the object and the disposal place for each object. The digital signature of the pattern is the function of distance of edge points from reference pixel, which is a 1-D representation of a boundary. One of the edge points is considered as a reference point and is used to calculate the position of remaining points relative to it, thus offering a unique representation to each object. Corresponding points on two similar shapes will have similar shape representation thereby enabling the corresponding automatic grasping system, while the dissimilarity between two shapes is computed as a sum of matching error between corresponding points. Thus the patterns are recognizing by correlating the digital signature of the object presented to the system and that stored in the data base of the processor. Once the pattern is recognized, the end-effector is initializing to pick and place the object at a pre-specified place. The system has been tested using various patterns and optimal results are obtained.
BF533 digital image processing digital signal processor digital signature end effector Sobel operator
Karamjit Kaur Anil Yadav
Department of Electrical Engineering Baba Banda Singh Bahadur Engg. College Fatehgarh Sahib, Punjab, Department of Electronics & Comm. Engg. Gurgaon College of Engineering. Gurgaon, Haryana, INDIA
国际会议
2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)
成都
英文
5-10
2010-11-16（万方平台首次上网日期，不代表论文的发表时间）