International Journal of Engineering
Trends and Technology

Research Article | Open Access | Download PDF

Volume 35 | Number 1 | Year 2016 | Article Id. IJETT-V35P235 | DOI : https://doi.org/10.14445/22315381/IJETT-V35P235

Object Tracking Robot on Raspberry PI using OpenCV


Rupa Gurram, SweathaSuresh.B, Sneha.B.R, Sushmitha.R.

Citation :

Rupa Gurram, SweathaSuresh.B, Sneha.B.R, Sushmitha.R., "Object Tracking Robot on Raspberry PI using OpenCV," International Journal of Engineering Trends and Technology (IJETT), vol. 35, no. 1, pp. 160-163, 2016. Crossref, https://doi.org/10.14445/22315381/IJETT-V35P235

Abstract

Autonomous vision based robots are intelligent robots which take visual data, process it and provide appropriate output. These robots are totally independent and don’t need any kind of human intervention since they are prefed with instructions. A robot is designed on Raspberry Pi using OpenCV, which is used for object detection based on its colour, size and shape. Here only a single object is being detected at a time. The tracking of the object is based on division of the image into virtual grids. The movement of the robot is based on the position of the object in the grid. An arm is incorporated to pick the object once it is stationary. After picking the object, it would be dropped into its respective coloured container which has a predefined position.


Keywords

OpenCV, Raspberry Pi, Virtual Grids, RDP Desk, GPIO, Contours.

References

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[3]MaimunHujaHusin, FauzilianaOsma, “Development of shape pattern recognition for FPGA-based object tracking system” Inc 2014.
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[5] https://en.Wikipedia.org/wiki/Green%27s_theorem [6] Jaya P and GeethuBalakrishnan, Contour Based Object Tracking, IJCSIT 2014.
[7] Narayan Pandharinath Pawar & Minakshee M. Patil, Driver Assistance System based on Raspberry Pi, International Journal of Computer Applications (0975 – 8887) Volume 95– No.16, June 2014, pp. 36-39.

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