Integration of Lego Mindstorms EV3 as Surveillance Robodrone with Speed Dial

Authors

  • Reynaldo F. Factor
  • Franco Gabriel S. Gopole

Keywords:

Robodrone, Prototype flying Lego Mindstorms Ev3 robodrone, autonomous flight, auto pilot, Facial detection, Facial recognition

Abstract

INTRODUCTION

Around 20 inmates escaped from a custodial center at the old police station in Barangay Talaba, Bacoor, Cavite last July 27, 2018. The researchers wanted to create a surveillance robodrone with facial recognition and speed dial to assist the police authorities. The drone is designed to call the authorities to inform them of the person in question.

METHODS

The robotics kit is terrain-based, meaning it is usually used on the ground and has never been used as an aerial device. The drone will be used as an assistive robot to criminal identification through simulation by using a phone camera with facial detection program to identify and differentiate people. After identifying the criminal, the drone is designed to call the authorities to inform them of the person in question.

RESULTS

The testing proved to be successful and was able to achieve flight despite the weight of the Ev3 drone. Likewise, the researchers were able to achieve an auto-piloted flight system closer to autonomous function and successful facial detection. The drone also did its function and was able to detect the person in question and promptly contact the authorities. The results show that the prototype could be used in crime scenarios when improved upon.

DISCUSSIONS

In determining the functionality of the drone, validation will be based on testing whether it can fulfill its purpose of detecting criminals or wayward students. Simulation of the scenario with the criminals, students, and bystanders was conducted. The drone was programmed to pass over them and determine whether the drone detects and the mechanism for calling the authorities works. The testing shows that the drone performs its duties well and without any malfunction. The drone was able to fly smoothly, and the auto-piloting technology proved to be functional and was able to fly the drone. The facial detection technology work and was able to distinguish the subjects. The mechanism for contacting the authorities also went smoothly and was able to call the appropriate number for the police and the prefect of discipline without interchanging the other.

Published

2019-01-18