Deep Learning Applications in Image Analysis by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9789819937844
Publisher: Springer Nature Singapore

6 Conclusion and Outlook

To summarize, digital technologies played a major role in the global responce to the COVID-19 early on from the onset of the pandemic, especially in the context of digital epidemiological surveillance and contact tracing, and proved their effectiveness in the real-world context being strongly associated with a number of success stories leading to the rapid suppression of the community transmission and reduction of the incidence rates.

While AI and machine learning techniques have been widely applied in web-based epidemic information support tools and online case tracing, they have not yet been fully explored in the context of proximity tracing and consecutive analysis for a more informed public spaces planning in the context of the reduction of the contacts and contact durations.

In this paper, we have proposed a framework which is based on video-surveilance for proximity tracing. However, as with the use of mobile apps and Bluetooth, privacy considerations cannot be emphasized enough for any approach to be of practical use. This is one of the fundamental ideas in our framework, realized by using anonymized IDs to identify individuals. Further exploring how privacy can be integrated in the proposed solution is the most immediate future research direction. Other directions include training other neural network models and comparing them to find the best model. Trained models will be evaluated based on the above parameters, such as mAP with a set IoU threshold of 0.5, the error of the trained model, and the number of frames per second (FPS) spent on object detection. In addition, we will further evaluate the approach using large datasets from crowded streets.

Now after more than two year since the onset of the pandemic, public attention increasingly shifts towards finding optimal exit strategies, including adaptation of these technologies and finding their place in the post-pandemic society. Looking forward towards this goal, we also consider how the proximity tracing based on video surveillance in public places could be adapted to facilitate the improved public spaces planning.

Acknowledgment

The work of Sergey Antonov was supported by the Ministry of Science and Higher Education of the Russian Federation “Goszadanie” No 075-01024-21-02 from 29.09.2021 (Project No. FSEE-2021-0014).

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