Abstract
Nowadays, security guard patrol services are becoming roboticized. However, high construction prices and complex systems make patrol robots difficult to be popularized. In this research, a simplified autonomous patrolling robot is proposed, which is fabricated by upgrading a wheeling household robot with stereo vision system (SVS), radio frequency identification (RFID) module, and laptop. The robot has four functions: independent patrolling without path planning, checking, intruder detection, and wireless backup. At first, depth information of the environment is analyzed through SVS to find a passable path for independent patrolling. Moreover, the checkpoints made with RFID tag and color pattern are placed in appropriate positions within a guard area. While a color pattern is detected by the SVS, the patrolling robot is guided to approach the pattern and check its RFID tag. For more, the human identification function of SVS is used to detect an intruder. While a skeleton information of the human is analyzed by SVS, the intruder detection function is triggered, then the robot follows the intruder and record the images of the intruder. The recorded images are transmitted to a server through Wi-Fi to realize the remote backup, and users can query the recorded images from the network. Finally, an experiment is made to test the functions of the autonomous patrolling robot successfully.
Highlights
Home security has always been an issue for everyone
If there is a simple and low-cost method that can increase the patrol function on traditional sweeping robots, it will effectively solve the problem of home security
An environment based on the proposed functions was created to verify the efficacy of the
Summary
Home security has always been an issue for everyone. hiring security guards involves high costs, and issues of safety about acquaintances. If there is a simple and low-cost method that can increase the patrol function on traditional sweeping robots, it will effectively solve the problem of home security. Et al proposed a novel navigation framework based on the robot operation system (ROS), which can separate a mission into several sub-issues to solve them to improve the SLAM working efficiency [6]. Gong Z. et al combine a cheap LiDAR system and crash sensors with a NVIDIA Jetson tk module on a wheeling robot to fabricate a low cost patrolling platform, and using tiny SLAM algorithm on the platform to achieve a real-time indoor mapping [18]. An. Thepatrol patrol robot comprises a processor, wheeled and stereo (SVS).
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