A review of the prevalent ICT techniques used for COVID-19 SOP violation detection
- Resource Type
- Conference
- Authors
- Ikram, Talha; Saeed, Abdullah; Ayn, NoorUl; Tahir, Muhammad Ali; Mumtaz, Rafia
- Source
- 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), 2020 IEEE 17th International Conference on. :194-198 Dec, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Feature extraction
COVID-19
Object detection
Faces
Computer architecture
Real-time systems
Deep learning
SOPs
Distance estimation
- Language
- ISSN
- 1949-4106
COVID-19 is a disease that has adversely impacted the health and daily lives of people worldwide, therefore there must be measures in place to control the spread of such diseases. Standard Operating Procedures (SOPs) such as wearing masks and maintaining social distancing are enforced by the Government and healthcare authorities. These SOP's mitigate the spread of COVID-19, but it has been observed with concern that people do not generally follow them. This survey work explores classical techniques that can be used to detect SOP violations. These are primarily computer vision based methods used in object detection and distance estimation. We will also explore deep learning based techniques used for object detection to detect SOP violations.