Mechanized Robot Detecting and Recognizing Fruit
Steps to reproduce
Today, studies are carried out in the field of robotics, such as the discovery of old or unknown places, their targeting, and object recognition. The designed robots can be dressed as cars, drones, people or arms for use. This common goal reduces humans work and provides robots can do everything what humans can do. These processes include hardware and software jobs. Artificial intelligence offers us the ability to teach and apply what it has learned to machines with the help of software. The aim of this study is to design a prototype mobile robot that can detect and recognize fruits that are far from the current location and within the reach of the robot, and can collect the fruits and transport them from one place to another. The results obtained by the study, when sufficient light and angle were provided, an average of 95% success rate in the correct recognition of objects and an average of 90% in detection achieved by the prototype robot. It has been realized that the motor power and the arm handle area are very important in the processes of the robot's hardware grasping and carrying the fruits. Programming language used Python in this study. First of all, completed connections of hardwares. Then completed programming of Arduino and Raspberry Pi.