Measurement of latency during real-time video transmission for remote supervision of agricultural machines

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dc.contributor.authorGreen, Mitchell
dc.contributor.examiningcommitteePaliwal, Jitendra (Biosystems Engineering) Petkau, Don (Biosystems Engineering)en_US
dc.contributor.supervisorMann, Danny (Biosystems Engineering) Hossain, Ekram (Electrical and Computer Engineering)en_US
dc.date.accessioned2021-01-26T22:19:00Z
dc.date.available2021-01-26T22:19:00Z
dc.date.copyright2021-01-13
dc.date.issued2021en_US
dc.date.submitted2021-01-07T19:23:18Zen_US
dc.date.submitted2021-01-07T21:43:34Zen_US
dc.date.submitted2021-01-13T17:01:34Zen_US
dc.degree.disciplineBiosystems Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractAutonomous vehicles will have an increasing presence in the agricultural world in the coming decades and third-party remote observation is likely to be an important element. Few previous studies have assessed video latency as it pertains to the operation of an agricultural vehicle, and understanding variations in latency is a critical factor in designing a useful system for an operator. This study aimed to investigate real-time video latency using a Raspberry Pi as a method of video capture and remote streaming, overlaying barcode timestamps into a video stream as a method of latency calculation. A system was assembled capable of transmitting real-time video using radio and cellular transmission and used to transmit video from a field vehicle to a nearby viewer to assess differences in transmission across possible platforms for field use. Statistically significant increases were observed for latency in relation to video resolution, and cellular video latency was lower when transmitting higher resolution video in areas of good network quality, but higher than radio transmission when transmitting low quality video or in areas where cellular networks were not as robust. Based on the results we conclude that Ethernet radio or a similar point-to-point transmission system is viable as an alternative to cellular transmission for edge-of-field video surveillance when using lower resolution video. We recommend assessment of local network quality prior to any transmission system selection, and the according adjustment of transmitted video resolution such that latency for the viewer is minimized while optimizing overall quality of service.en_US
dc.description.noteMay 2021en_US
dc.identifier.urihttp://hdl.handle.net/1993/35292
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectLatency measurementen_US
dc.subjectCameraen_US
dc.subjectVideoen_US
dc.subjectWireless networkingen_US
dc.subjectAutonomous vehiclesen_US
dc.subjectAgricultureen_US
dc.subjectDelayen_US
dc.subjectRaspberry pien_US
dc.subjectVideo encodingen_US
dc.subjectGStreameren_US
dc.subjectVideo transmissionen_US
dc.subjectRadio transmissionen_US
dc.subjectCellular transmissionen_US
dc.subjectVideo surveillanceen_US
dc.titleMeasurement of latency during real-time video transmission for remote supervision of agricultural machinesen_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
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