Defensive turret with fully automated motion detection using infrared technology

• Main Authors: Adriano, Hazel Mae A., Reyes, Dustin A., Tan, Kristelee Jem B., Zagada, Daniel D.
• Format: text
• Language: English
• Published: Animo Repository 2016
• Subjects: Turrets; Motion detectors; Infrared technology; Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/9388
• Institution: De La Salle University

The general objective of this thesis is to create an automated defective turret that has human detection capabilities even in low-light or nighttime conditions through the use of infrared technology. This project aims to promote the enhancement of the research and development of our country's military technologies. Motion detection through Python and OpenCV will be used to detect human in the environment who will then become the turrets targets. The target detection should reach as far as 100 feet. The turret has both automatic and manual control capabilities. In automatic control, the turret targets the first human it detects and follows it on its own. On manual mode, the user can control the pan and tilt of the turret using the computer's mouse. The turret is capable of continuously shooting the target it is tracking. To test the program and the hardware, the targets were placed in different distances from the turret and multiple samples were taken accordingly. This was done in both standard and infrared modes of the camera.