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| a) The idea can be a new application. | | a) The idea can be a new application. |
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| b) The idea can also be an algorithm or module on how to improve the performance of the architecture. | | b) The idea can also be an algorithm or module on how to improve the performance of the architecture. |
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| The milestones maybe as follows:
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| 1. Understand the design of overall systems and modules (04.11.2020-18.11.2020 2 weeks).
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| 2. Reimplementation and integration in laboratory (19.11.2020-09.12.2020 4 weeks).
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| 3. Deployment and data collection (10.12.2020-11.02.2021 9 weeks including Christmas).
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| 4. Result analysis and implement new ideas based on system (06.01.2021-11.03.2021 13 weeks).
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| (Note that there are 5 weeks overlapped with Deployment and data collection in case students need to modified their program.)
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| 5. Final presentations (the week 15.03.2021).
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| 6. Final reports (31.03.2021)
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| After this course, students will have the full stack knowledge of video analytics systems, including network programming, basic knowledge on video streaming, general knowledge of object detection, and state-of-art video analytics architecture.
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| ==Prerequisites== | | ==Prerequisites== |