Publication: A model-based framework for speed and direction detections of a moving object
| dc.contributor.author | Wong, Chun Sheung | |
| dc.date.accessioned | 2024-01-08T02:19:36Z | |
| dc.date.available | 2024-01-08T02:19:36Z | |
| dc.date.issued | 2019-06-01 | |
| dc.description.abstract | Intrusion detection can be defined as the detection of an unauthorized person or vehicle has accessed or attempting to gain unauthorized entry into designated areas. Basically, the microwave sensor is be chosen as the main component for the exterior intrusion detection. As the microwave sensor can generate an electromagnetic (RF) field between transmitter and receiver, the big detection area generated is suitable for the exterior intrusion detection. To increase the efficiency of the system, the main requirement is to increase the accuracy and minimize the error of detection of the microwave sensor. In this project, the Simulink S-function model for the microwave sensor and 3D gesture sensor have be created. To investigate the better position of the microwave sensor respect to the accuracy of detecting the moving object, a comparative experiment had been conducted. From the result, the microwave sensor at the high position can lead to the higher accuracy of speed detection exceeding more than 95%. The mechanism for detecting the direction of the moving object had been made using the 3D gesture sensor. The direction of the moving object is indicated by the digital value “1” for “right”, “2” for “left”, “3” for “down” and “4” for “up”. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/17987 | |
| dc.language.iso | en | |
| dc.title | A model-based framework for speed and direction detections of a moving object | |
| dc.type | Resource Types::text::report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |