An energy saving home automation system using camera monitoring | |
| Author | Dissanayake, Dimuthu Thilanka |
| Call Number | AIT Caps. Proj. no.EL-18-03 |
| Subject(s) | Machine learning Home automation Convolutions (Mathematics)--Data processing Neural networks (Computer science) |
| Note | A capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Electronics Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. EL-18-03 |
| Abstract | In this project, The Single Shot Object Detector (SSD) deep learning technique is used to detect people. Once the system detects theres a human in the camera feed it increase a counter and object tracking will on. Tracking will on only if the detector detect a human in the room. Then it calculate the biggest moving pixel area and if that area is between 25000- 10000 OR counter is greater than zero AC powered bulb will switch on. This system is act similar to a motion sensor deployed home automation but the advantage of this system is it can react if there is an actual human footage in the video feed rather than just triggers to a simple motion in the environment. The automation part of the system is achieved by giving input to a 5v relay through a arduino uno board. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. EL-18-03 |
| Type | Capstone Project |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Electronic Engineering (EL) |
| Chairperson(s) | Mongkol Ekpanyapong; |
| Examination Committee(s) | Dailey, Matthew; |
| Degree | Capstone Project (B.Sc.)-Asian Institute of Technology, 2018 |