Prasant Kumar Mahapatra

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This paper presents a comparison of Bat and Particle Swarm Optimization (PSO) algorithms for optimization of lathe tool positional error in a developed machine vision system for determination of lathe tool position and verification. Bat algorithm is based on echolocation behavior of bats while PSO is inspired by social behavior of birds flocking in search(More)
Tool positioning and its error optimization are gaining considerable importance in engineering applications. A number of machine vision systems have been developed for tool wear and conditioning assessment. A machine vision system for lathe tool position and verification was developed. To evaluate the performance of developed system, images of lathe tool(More)
High-precision tool positioning is one of the fundamental requirements for the industry now-a-days. Earlier, tool positioning and its verification were done using sensors etc. In this paper, an algorithm has been proposed to increase the tool positioning accuracy by analyzing the information obtained using CCD camera. The images of lathe tool are used for(More)
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