Difference between revisions of "ADAS test time"
From Wiki Knowledge Base | Teltonika GPS
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! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Size of image''' | ! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Size of image''' | ||
! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Size of video''' | ! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Size of video''' | ||
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! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Time interval (s) from trigger to files received on server FMC640 4G / FMB640 2G''' | ! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Time interval (s) from trigger to files received on server FMC640 4G / FMB640 2G''' | ||
! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Photo example''' | ! rowspan="1" style="width: 400px; background: #0054A6; color: white;" |'''Photo example''' | ||
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| − | ! colspan=" | + | ! colspan="7" |Image |
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|640x480 | |640x480 | ||
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| − | ! colspan=" | + | ! colspan="7" |Video |
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|640x480 | |640x480 | ||
Revision as of 12:39, 21 June 2022
ADAS data transferring timing
| Image resolution | Image compression (%) | Video duration (s) | Size of image | Size of video | Time interval (s) from trigger to files received on server FMC640 4G / FMB640 2G | Photo example |
|---|---|---|---|---|---|---|
| Image | ||||||
| 640x480 | 30 | - | ~24kB / - | - | 72s / - | |
| 1280x720 | 30 | - | ~160kB / - | - | 180s / - | |
| Video | ||||||
| 640x480 | - | 5s | - | ~588kB / - | 75s / - | |
| 640x480 | - | 10s | - | ~1MB / - | 201s / - | |
| 640x480 | - | 15s | - | ~1.5MB / - | 220s / - | |
| 640x480 | - | 30s | - | - | - | |
| 1280x720 | - | 5s | - | ~875KB / - | 221s / - | |
| 1280x720 | - | 10s | - | ~1.64MB / - | 309s / - | |
| 1280x720 | - | 15s | - | ~2.52MB / - | 450s / - | |
| 1280x720 | - | 30s | - | - | - | |
* NOTE: This approximate time which we receive during testing in real cases can be different.
* NOTE Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
