| dc.contributor.author | Das, Debashish | |
| dc.date.accessioned | 2020-11-28T07:42:32Z | |
| dc.date.available | 2020-11-28T07:42:32Z | |
| dc.date.issued | 2019-12-01 | |
| dc.identifier.uri | http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5172 | |
| dc.description.abstract | In the past few years Bangladesh has experienced a tremendous growth in the field of ICT. We are becoming tech-dependent generation day by day. Though we need more development in the security sector of Smart Home to ensure more safety. As some lacking are still present in this area. There are many cases available which are related to home invasion. We can decrease the rate and avoid these misfortune situations by using advanced technology and digital devices. Traditional security systems are very weak to fight these problems as those doesn’t include advanced technology. So most of our homes are not really well secured and its not easy to stay alert about the upcoming event to avoid unwanted situation. Our goal is to make this system available for people to get the facilities of advanced security system. We will involve more ICT based application and advanced technology in our doorbell or CCTV to upgrade the security system. Our research-based project mainly focuses on predicting human intension. It will collect data by reading human facial expression and body language. Thus, our system will send alert to the user so that the user can easily detect the possibility and become aware of the situation. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Daffodil International University | en_US |
| dc.subject | Detectors | en_US |
| dc.subject | Human-computer Interaction | en_US |
| dc.subject | Human Body and Language | en_US |
| dc.title | Spectre | en_US |
| dc.title.alternative | an Approach to Detect Human Intention Using Convolutional Neural Network | en_US |
| dc.type | Other | en_US |