Development of an Intelligent Image Recognition System for a Single Actuating Wave Robot

The objective of this study is to create an intelligent image recognition system utilizing deep learning techniques for a single actuating wave (SAW) robot. The study is divided into two primary sections: (i) creating the single actuating wave robot and (ii) integrating of deep learning process for image recognition. The advancement in sine wave motion is harnessed for the movement of the SAW robot, with an examination and presentation of its kinematic motion. The components of the SAW robot are fabricated through 3D printing fused deposition technique. Image recognition holds significant importance in image processing and computer vision, enabling the identification of objects, locations, individuals, and actions within images. In this project, the image recognition process focuses on objects stored within the device. The device consists of the SAW robot, ESP32 CAM, FTDI adapter, and a booster. The booster transmits a signal to the ESP32 CAM for capturing an image, which is then saved in the device for subsequent image recognition. Python code is implemented and executed to achieve image recognition, and the obtained results are then presented. This SAW robot can be used for live tracking, and it is tested.