| Popis: |
Deep learning is one of most favourable domain in today’s era of computer science. In this paper we discussed, the implementation of deep learning concepts by using Auduino uno with robotic application. For the purpose of object detection and classification, a robotic arm is used in the project which is controlled to automatically detect and classify of different object (fruits in our project). In this project, the camera will capture an image of fruit for further processing in the model based on convolutional neural network (CNN). When the trained model will detect the object in image, a particular signal will be sent to robotic arm using Arduino uno, which will place the detected object into a basket. In this way our project will recognize and classify two different fruits and will place it into different baskets. This project is a demonstration of combination of deep learning concept together with Arduino programming, which itself is a complete framework. This combination can be used to solve so many real life problems. After implementation, we found up to 99.22% of accuracy in object detection. |
