Abstract
A surveillance system is still the most exciting and practical security system to prevent crime effectively. The primary purpose of this system is to recognize the identity of the face caught by the camera. With the advancement of the Internet of things, surveillance systems were implemented on edge devices such as the low-cost Raspberry mobile camera. It raises the challenge of unstructured image/video where the video contains low quality, blur, and variations of human poses. The challenge is increasing because people used to wear a mask during the Covid -19 pandemic. Therefore, we proposed developing an all-in-one surveillance system with face detection, recognition, and face tracking capabilities. This system integrated three modules: MTCNN face detector, VGGFace2 face recognition, and Discriminative Single-Shot Segmentation (D3S) tracker to create a system capable of tracking the faces of people caught on surveillance camera. We also train new face mask data to recognize and track. This system obtains data from the Raspberry Pi camera and processes images on the cloud as a mobile sensor approach. The proposed system successfully implemented and obtained competitive results in detection, recognition, and tracking under an unconstrained surveillance camera.
Highlights
The COVID-19 pandemic, which has spread since 2020, has made humans adapt socially to minimize the virus’s infection rate, such as social distancing and Work From Home (WFH)
We evaluate face detection along with recognition performance
D3S uses a Discriminative Correlation Filter (DCF), so the resulting bounding box can affect the features studied for object tracking in the frame
Summary
The COVID-19 pandemic, which has spread since 2020, has made humans adapt socially to minimize the virus’s infection rate, such as social distancing and Work From Home (WFH). The high rate of layoffs made people start switching professions to other sectors. Not everyone has an opportunity to get a job again, so that it has the potential to increase crime. Stickle and Felson said no visible increase in crime rates; we need to anticipate that the pandemic is still ongoing for an indefinite term [1]. One of the crimes that often occurs is theft or home burglary. Before acting, the perpetrator has already staked out the target house. Preventive measures are needed that can help people to keep their homes from becoming targets of crime
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Interactive Mobile Technologies (iJIM)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
