Field, Shaun (2015) Machine vision and sensing with an Android. [USQ Project]
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Abstract
This project investigated the ability for an Android mobile device to run an application that could automate a tractor. The development of such an application would lead to a cost effective, portable, and user friendly device that could easily be transported and installed on a tractor to allow vehicle automation. At the start of this project the
method for automation had not been determined however the specific intent for the design of a machine vision application on an Android device was later defined.
The development of this application began with investigations into machine vision techniques and the Android SDK which identified the machine vision algorithm as
well as the software libraries the application was be built upon. Access to the main video data was then achieved which enabled the manipulation of image data through accessing the pixel array information. Annotations were then added to the screen to allow for the output of data, and the line fitting algorithm selected for identifying crop rows was programmed. These achievements allowed the output of row identification and steering correction data to be added to the device screen.
These accomplishments concluded in an Android based machine vision application that is able to identify crop rows while processing the 30 fps 320x240 resolution image in an average of 34 ms per frame during typical running circumstances. This was done while keeping system RAM usage to an average of about 17 MB on a system that is also very tolerant to light fluctuations and noisy data.
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| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Additional Information: | Bachelor of Engineering (Electrical and Electronics) project |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Billingsley, John |
| Date Deposited: | 06 Jun 2016 01:16 |
| Last Modified: | 06 Jun 2016 01:16 |
| Uncontrolled Keywords: | Machine Vision, Android, Image Processing, Row Detection |
| Fields of Research (2008): | 09 Engineering > 0906 Electrical and Electronic Engineering > 090601 Circuits and Systems |
| Fields of Research (2020): | 40 ENGINEERING > 4008 Electrical engineering > 400801 Circuits and systems |
| URI: | https://sear.unisq.edu.au/id/eprint/29207 |
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