| Title | The Design of Campus Security Early Warning System based on IPv6 Wireless Sensing |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Sha, Feng, Wei, Ying |
| Conference Name | 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI) |
| Date Published | jan |
| Keywords | Alarm systems, Collaboration, composability, CSI, IPv6, Metrics, Personnel, Policy Based Governance, pubcrawl, Real-time Systems, resilience, Resiliency, security, Sensors, video surveillance, Wireless communication, wireless sensing, Wireless sensor networks |
| Abstract | Based on the campus wireless IPv6 network system, using WiFi contactless sensing and positioning technology and action recognition technology, this paper designs a new campus security early warning system. The characteristic is that there is no need to add new monitoring equipment. As long as it is the location covered by the wireless IPv6 network, personnel quantity statistics and personnel body action status display can be realized. It plays an effective monitoring supplement to the places that cannot be covered by video surveillance in the past, and can effectively prevent campus violence or other emergencies. |
| DOI | 10.1109/IWECAI55315.2022.00028 |
| Citation Key | sha_design_2022 |
The Design of Campus Security Early Warning System based on IPv6 Wireless Sensing