Intelligent intrusion prevention system for households based on system-on-chip computer
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Rashid, Md. Tahmid | |
| dc.contributor.author | Abir, Imtiaz Kalam | |
| dc.contributor.author | Shourove, Niaz Sharif | |
| dc.contributor.author | Muntaha, Rakibun | |
| dc.contributor.author | Rhaman, Md. Khalilur | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2026-07-19T03:39:40Z | |
| dc.date.available | 2026-07-19T03:39:40Z | |
| dc.date.issued | 10/31/2016 | |
| dc.description.abstract | Over the course of the last few decades, security systems have undergone radical overhauls and have transitioned into such sophisticated devices that some even completely shun any form of human interventions. In spite of its tremendous innovations, however, such setups have not yet made their way into homes and residences, partly owing to the fact that the equipment bear high price tags and lack user friendliness. This paper propositions a unique security system for residences that aims to solve the shortcomings of commercial alternatives. Basically, a Raspberry Pi 2 System-on-Chip (SoC) computer equipped with a camera module and placed outside the entrance of a house would attempt to identify would-be visitors by the means of image processing and voice identification. The system would spontaneously greet known faces with a friendly voice greeting and unlock the main door to allow them to enter the home. In case of unknown faces, the system would initiate a video call to the home's owner through a smartphone application and allow the owner to communicate with the unknown visitor. Upon receiving approval from the owner, the visitor's details would be entered into the system and the main door would be unlocked. If the owner denies access, he or she has the option to verbally ask the unknown visitor to leave or in extreme cases, press a button to call the police. | |
| dc.description.version | Published | |
| dc.format.extent | 6 Paqges | |
| dc.identifier.citation | M. T. Rashid, I. K. Abir, N. S. Shourove, R. Muntaha and M. K. Rhaman, "Intelligent intrusion prevention system for households based on system-on-chip computer," 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Vancouver, BC, Canada, 2016, pp. 1-5, doi: 10.1109/CCECE.2016.7726816. | |
| dc.identifier.doi | 10.1109/CCECE.2016.7726816 | |
| dc.identifier.isbn | 9.78147E+12 | |
| dc.identifier.issn | 8407789 | |
| dc.identifier.other | 2-s2.0-85006934355 | |
| dc.identifier.uri | https://hdl.handle.net/10361/28584 | |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.hasversion | 10.1109/CCECE.2016.7726816 | |
| dc.relation.ispartof | Canadian Conference on Electrical and Computer Engineering | |
| dc.relation.ispartofseries | Canadian Conference on Electrical and Computer Engineering | |
| dc.relation.uri | https://ieeexplore.ieee.org/document/7726816 | |
| dc.subject | Image processing | |
| dc.subject | Raspberry Pi | |
| dc.subject | Security systems | |
| dc.subject | Smartphone application | |
| dc.subject | System-On-Chip (SoC) | |
| dc.subject | Voice identification | |
| dc.subject.lcsh | Biometric identification. | |
| dc.subject.lcsh | Electronic security systems. | |
| dc.subject.lcsh | Dwellings--Security measures. | |
| dc.title | Intelligent intrusion prevention system for households based on system-on-chip computer | |
| dc.type | Conference Proceedings | |
| oaire.citation.volume | 2016-October | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | BRAC University | |
| person.identifier.scopus-author-id | 57190247003 | |
| person.identifier.scopus-author-id | 57190284176 | |
| person.identifier.scopus-author-id | 57192591361 | |
| person.identifier.scopus-author-id | 57192589917 | |
| person.identifier.scopus-author-id | 26639807800 |