| dc.contributor.advisor | Crick, Christopher | |
| dc.contributor.author | Devarapalli, Sandeep | |
| dc.date.accessioned | 2018-06-29T14:40:56Z | |
| dc.date.available | 2018-06-29T14:40:56Z | |
| dc.date.issued | 2016-12-01 | |
| dc.identifier.uri | https://hdl.handle.net/11244/300340 | |
| dc.description.abstract | The objective of this research is to teleoperate a robot situated at a remote location with the help of video camera. The operator relies on the live video to move the bot and maneuver different tasks, but in the case of laggy video the operator has to wait until the video is received which is frustrating and tiresome. We intend to solve this by giving feedback to the operator instantly as the command is given. This is done by using HTML5 Canvas as a medium to show the video instead of using a video player. HTML5 Canvas gives us flexibility as it can be used to access pixel values from the video and manipulate them giving feedback to the operator on the video itself. Preliminary data shows 30% decrease in time for doing certain tasks using this system instead of without using the system. | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
| dc.title | Live Feedback on a Live Video Using HTML5 Canvas | |
| dc.contributor.committeeMember | Cline, David | |
| dc.contributor.committeeMember | Thomas, Johnson | |
| osu.filename | Devarapalli_okstate_0664M_14999.pdf | |
| osu.accesstype | Open Access | |
| dc.description.department | Computer Science | |
| dc.type.genre | Thesis | |
| dc.type.material | text | |
