Abstract
This paper presents a robust color code tracking system using low-cost vision sensor Pixy CMUcam5 for cart follower in an indoor environment. The CMUcam5 camera mounted on the front of the cart to have a perfect vision for establishing tracking task. The camera gives an excellent performance that has the ability to identify a various number of targets with color code features. The acquired data in image view than transformed to the real coordinate. The experimental result shows that the proposed technique granted a slight error in average pixels and angle errors. As a conclusion, the project met with the objective of this research.
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Acknowledgements
The authors would like to thank The Ministry of Science, Technology and Innovation Malaysia (MOSTI), and Universiti Sains Malaysia (USM) for the support of the research under grant number 305/PELECT/6013112.
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Ahmad, M.F., Alhady, S.S.N., Rahiman, W., Othman, W.A.F.W., Zahir, A.A.M. (2018). Visual Based Distance Recognition Technique by Using Pixy CMUcam5. In: Hassan, M. (eds) Intelligent Manufacturing & Mechatronics. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-8788-2_43
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DOI: https://doi.org/10.1007/978-981-10-8788-2_43
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