HARDWARE DESIGN AND IMPLEMENTATION OF THERMAL INFRARED OBJECT TRACKING SYSTEM USING YOLOV4 ALGORITHM AND VISUAL SERVOING METHODS
In this final project, a human object detection system was designed using an infrared thermal camera. The detection is carried out from a height of ±5 meters. The system is designed by using a camera mount which connected to servos so that the camera can track detected object using visual serov...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/56329 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In this final project, a human object detection system was designed using an infrared thermal
camera. The detection is carried out from a height of ±5 meters. The system is designed by using
a camera mount which connected to servos so that the camera can track detected object using
visual seroving method. This system consists of 4 subsystems, which are acquisition subsystem,
data processing subsystem, user interface subsystem, and actuator subsystem. In the acquisition
subsystem there is an infrared camera module that can acquire infrared thermal images. The
infrared thermal image is then sent to the processing subsystem to be processed in order to detect
objects in the form of humans. The processed infrared thermal image will be displayed to the user
through the user interface subsystem. The processing subsystem will also perform a visual
seroving algorithm so that a control signal is obtained to move the actuator subsystem. The
actuator subsystem is used so that the camera can track objects that are detected by moving the
camera. All subsystems created will be integrated into a single system that will be placed in a case.
The topics discussed in this report are the hardware design of each subsystem, PCB design &
system schematic, and casing design for system integration.
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