Abstract:

Today, many different areas use technology devices and robots to benefit people. In the military areas, especially in the environment where human life can be at risk, with the help of robots, vital risks are required to be minimized. In military operations, a person entering a building for the purpose of exploration is quite dangerous. In this study, a robot is designed that can be remote-controlled, recognize the objects he sees and display the objects he knows on the control screen instead of discoveries. The robot developed in this study uses the TensorFlow deep learning library developed by Google to identify objects. The software developed in Python is run on the Raspberry Pi3/B mini computer on the robot. It is used by the DC engines for the robot movement. With the GPIO pin on the Raspberry Pi3/B mini computer, the signal is sent to the driver circuit to control the robot’s movements. In the prototype tests, objects were mostly successfully recognized and the success rate increased in a suitable light environment.

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Abstract:

Today, technological devices and robots are used to benefit in many different areas. In environments where people of other military field may be at risk, vital risks are desired to be minimized for robots. It is very risky for a person to enter a building for reconnaissance purposes during military operations. It is the place where this kind of risky person learns a robot that can be remotely controlled, recognize the text he sees, and display the text control text he knows, instead of making exploration. In this structure, the robot uses the TensorFlow deep learning library offered by Google to recognize objects. It was run on the Raspberry Pi3/B minicomputer on the software with the language of Python. DC motors are used for robot movement. In Raspberry Pi3/B minicomputer, the robot's movements can be controlled by sending a signal to the motor driver circuit with GPIO pins. In the tests of the prototype, it has been observed that the guarantee of success in the distribution area has increased.