HUMAN DETECTION AND DEPLOYMENT IMPLEMENTATION ON PHYSICAL DISTANCING ALERTING SYSTEM BASED ON VIDEO ANALYTICS USING YOLOV3 AND STREAMLIT
The Covid-19 pandemic is still happening in Indonesia. The additional cases of covid-19 in Indonesia reached more than 5000 cases per day. This situation make society to always implementing health protocols to reduce the spread of coronavirus in Indonesia. One of the health protocols that people...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/55429 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The Covid-19 pandemic is still happening in Indonesia. The additional cases of
covid-19 in Indonesia reached more than 5000 cases per day. This situation make
society to always implementing health protocols to reduce the spread of
coronavirus in Indonesia. One of the health protocols that people must implement
in public places is physical distancing. However, the implementation of physical
distancing protocol in public places is very often ignored. This situation due to the
lack of awareness and supervision in carrying out the physical distancing protocol.
In this final project, we made a physical distancing alerting system to help society
in implementing physical distancing protocol in public places.
In this final project, human detection system and deployment system were
developed as a part of physical distancing alerting system based on video analytics.
The human detection system was built using YOLOv3 so it can detect human objects
in various positions and poses. The deployment system was built using streamlit so
the application can run remotely by administrator. Based on the experiment, the
human detection system and deployment system can meet the expected
specifications. |
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