Object Recognition For Pick And Place Tasks

Lim, Huey Kian (2005) Object Recognition For Pick And Place Tasks. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The object recognition is a process of making sequences of decisions to gives signal to pick and place system to separate the object. This system are commonly use in industrial field such as manufacturing, automation, fabrication and etc. The conveyor belt is one of the most efficient devices available for moving goods over short distance. The sensor emits, receives, and converts the light energy into an electrical signal. The use of the recognition algorithm as part of the evaluation function for sensing segmentation gives rise to significant improvement of the system performance by automatic generation of recognition strategies. The conveyor system will roll the object and the sensor detects the presence of object and sends the signal to the controller. The controller will distinguish the different objects and instruct the robot arm to pick and place the object to bin 1 (for object A), bin2 (for object B), bin3 (for object C) or bin4 (for object D).

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