Physical distancing system using computer vision
The regulation of social distancing in standing queues such as queues at ATMs and queues for ordering fast food is very important to apply during COVID-19 pandemic. The system can control the discipline of keeping a distance which can reduce the rate of transmission of the Covid 19 virus. The system...
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Institute of Electrical and Electronics Engineers Inc.
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42395/1/Physical%20distancing%20system%20using%20computer%20vision.pdf http://umpir.ump.edu.my/id/eprint/42395/2/Physical%20distancing%20system%20using%20computer%20vision_ABS.pdf http://umpir.ump.edu.my/id/eprint/42395/ https://doi.org/10.1109/ICORIS52787.2021.9649548 |
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my.ump.umpir.423952024-10-30T04:40:55Z http://umpir.ump.edu.my/id/eprint/42395/ Physical distancing system using computer vision Kartikawati, Lili Nabawi, Isnan Rahayu, Vita Kusrini, Kusrini Ariatmanto, Dhani Ernawan, Ferda QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) The regulation of social distancing in standing queues such as queues at ATMs and queues for ordering fast food is very important to apply during COVID-19 pandemic. The system can control the discipline of keeping a distance which can reduce the rate of transmission of the Covid 19 virus. The system is expected to be able to handle supervision and regulation of the application of physical distancing by involving hardware input in the form of a camera, which will provide the condition of standing queue in the form of images to be processed to produce output information, the number of objects in the standing queue, the distance between objects and the x, y coordinates of the object in the standing queue. The final result of the Physical Distancing Warning System is able to maximize the distance control in standing queues such as queues at ATMs and queues for ordering fast food. Based on tests carried out able to detect human objects and calculate the distance between them. Tests to obtain the validity of system performance are carried out by varying the minimum threshold value. The best performance results are obtained at the minimum threshold value of 40 where the system error is 22.75%. The output of the computer vision process that is sent to the microcontroller as a command to the lights, servo and laser has been fully worked (100%) with the correctness of the response completely controlled by the processing results in the computer vision section. Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42395/1/Physical%20distancing%20system%20using%20computer%20vision.pdf pdf en http://umpir.ump.edu.my/id/eprint/42395/2/Physical%20distancing%20system%20using%20computer%20vision_ABS.pdf Kartikawati, Lili and Nabawi, Isnan and Rahayu, Vita and Kusrini, Kusrini and Ariatmanto, Dhani and Ernawan, Ferda (2021) Physical distancing system using computer vision. In: 3rd International Conference on Cybernetics and Intelligent Systems, ICORIS 2021. 3rd International Conference on Cybernetics and Intelligent Systems, ICORIS 2021 , 25 October 2021 , Virtual, Makassar. pp. 1-7.. ISBN 978-166542580-3 (Published) https://doi.org/10.1109/ICORIS52787.2021.9649548 |
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QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
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QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Kartikawati, Lili Nabawi, Isnan Rahayu, Vita Kusrini, Kusrini Ariatmanto, Dhani Ernawan, Ferda Physical distancing system using computer vision |
| description |
The regulation of social distancing in standing queues such as queues at ATMs and queues for ordering fast food is very important to apply during COVID-19 pandemic. The system can control the discipline of keeping a distance which can reduce the rate of transmission of the Covid 19 virus. The system is expected to be able to handle supervision and regulation of the application of physical distancing by involving hardware input in the form of a camera, which will provide the condition of standing queue in the form of images to be processed to produce output information, the number of objects in the standing queue, the distance between objects and the x, y coordinates of the object in the standing queue. The final result of the Physical Distancing Warning System is able to maximize the distance control in standing queues such as queues at ATMs and queues for ordering fast food. Based on tests carried out able to detect human objects and calculate the distance between them. Tests to obtain the validity of system performance are carried out by varying the minimum threshold value. The best performance results are obtained at the minimum threshold value of 40 where the system error is 22.75%. The output of the computer vision process that is sent to the microcontroller as a command to the lights, servo and laser has been fully worked (100%) with the correctness of the response completely controlled by the processing results in the computer vision section. |
| format |
Conference or Workshop Item |
| author |
Kartikawati, Lili Nabawi, Isnan Rahayu, Vita Kusrini, Kusrini Ariatmanto, Dhani Ernawan, Ferda |
| author_facet |
Kartikawati, Lili Nabawi, Isnan Rahayu, Vita Kusrini, Kusrini Ariatmanto, Dhani Ernawan, Ferda |
| author_sort |
Kartikawati, Lili |
| title |
Physical distancing system using computer vision |
| title_short |
Physical distancing system using computer vision |
| title_full |
Physical distancing system using computer vision |
| title_fullStr |
Physical distancing system using computer vision |
| title_full_unstemmed |
Physical distancing system using computer vision |
| title_sort |
physical distancing system using computer vision |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2021 |
| url |
http://umpir.ump.edu.my/id/eprint/42395/1/Physical%20distancing%20system%20using%20computer%20vision.pdf http://umpir.ump.edu.my/id/eprint/42395/2/Physical%20distancing%20system%20using%20computer%20vision_ABS.pdf http://umpir.ump.edu.my/id/eprint/42395/ https://doi.org/10.1109/ICORIS52787.2021.9649548 |
| _version_ |
1822924728841535488 |
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13.232414 |