CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT
In an era where security concerns are paramount, developing advanced technological solutions is crucial to enhance public safety in crowded environments. This study introduces an innovative Internet of Things (IoT) based device designed to detect facial emotions and identify weapons among individual...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Kragujevac
2025-03-01
|
| Series: | Proceedings on Engineering Sciences |
| Subjects: | |
| Online Access: | https://pesjournal.net/journal/v7-n1/51.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850035838890541056 |
|---|---|
| author | Ahmad Abubakar Mustapha Mohamed Sirajudeen Yoosuf |
| author_facet | Ahmad Abubakar Mustapha Mohamed Sirajudeen Yoosuf |
| author_sort | Ahmad Abubakar Mustapha |
| collection | DOAJ |
| description | In an era where security concerns are paramount, developing advanced technological solutions is crucial to enhance public safety in crowded environments. This study introduces an innovative Internet of Things (IoT) based device designed to detect facial emotions and identify weapons among individuals in real-time within crowded spaces. Our Proposed work is through the integration of IoT and machine learning algorithms, the device can detect and analyze facial emotions and weapons in crowded areas (among protesters), the model has been experimented and it achieved an mAP of 99.39% @0.50IOU while 98.69% @0.75IOU and overall mAP of 91.52%. This device offers a proactive approach to security monitoring, enabling swift responses to predict weapons and emotions in a crowd's suspicious activities and enhancing overall situational awareness. |
| format | Article |
| id | doaj-art-be1ea3317d7a4246a96c2036fffb2dba |
| institution | DOAJ |
| issn | 2620-2832 2683-4111 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | University of Kragujevac |
| record_format | Article |
| series | Proceedings on Engineering Sciences |
| spelling | doaj-art-be1ea3317d7a4246a96c2036fffb2dba2025-08-20T02:57:21ZengUniversity of KragujevacProceedings on Engineering Sciences2620-28322683-41112025-03-017148549410.24874/PES07.01D.005CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENTAhmad Abubakar Mustapha 0https://orcid.org/0000-0001-6872-4097Mohamed Sirajudeen Yoosuf 1https://orcid.org/0000-0002-4640-4815VIT-AP University, School of Computer Science and Engineering, Amaravati, Andhra Pradesh, India, India VIT-AP University, School of Computer Science and Engineering, Amaravati, Andhra Pradesh, India, India In an era where security concerns are paramount, developing advanced technological solutions is crucial to enhance public safety in crowded environments. This study introduces an innovative Internet of Things (IoT) based device designed to detect facial emotions and identify weapons among individuals in real-time within crowded spaces. Our Proposed work is through the integration of IoT and machine learning algorithms, the device can detect and analyze facial emotions and weapons in crowded areas (among protesters), the model has been experimented and it achieved an mAP of 99.39% @0.50IOU while 98.69% @0.75IOU and overall mAP of 91.52%. This device offers a proactive approach to security monitoring, enabling swift responses to predict weapons and emotions in a crowd's suspicious activities and enhancing overall situational awareness.https://pesjournal.net/journal/v7-n1/51.pdfcrowd monitoringobject detectionhomeland securitycomputer visioniot |
| spellingShingle | Ahmad Abubakar Mustapha Mohamed Sirajudeen Yoosuf CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT Proceedings on Engineering Sciences crowd monitoring object detection homeland security computer vision iot |
| title | CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT |
| title_full | CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT |
| title_fullStr | CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT |
| title_full_unstemmed | CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT |
| title_short | CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT |
| title_sort | crowd monitoring and controlling system for homeland security improvement |
| topic | crowd monitoring object detection homeland security computer vision iot |
| url | https://pesjournal.net/journal/v7-n1/51.pdf |
| work_keys_str_mv | AT ahmadabubakarmustapha crowdmonitoringandcontrollingsystemforhomelandsecurityimprovement AT mohamedsirajudeenyoosuf crowdmonitoringandcontrollingsystemforhomelandsecurityimprovement |