In this automation world, as the technology is being updated day by day, object detection is the main ability for robots to interact with an environment and perform tasks correctly. In the field of this robotics active recognition, a robot is integrated with a camera, and raw image data is processed to recognize objects correctly. Here, we have used an object recognition model to detect objects and necessary steps are taken. This robot can be deployed in many places like offices, larger companies, and different other places where the detection of objects is the main task. In this project, you will create one such robot application in the Gazebo simulator and perform the object detection user verification tasks using ROS and OpenCV. 

The complete application that you will develop is a robot application in the simulation world integrated with vision and object detection capabilities. The robot will fetch image data from the camera and process the image and detects the object in that image from the simulation environment and perform specified actions depending on our environment. To accomplish this project you use the ROS Melodic version, python OpenCV, YOLO Object detection model to detect objects with Visual studio code as IDE to develop this application.