Implementation of a Smart System Digital Image Processing of Stair Detection for Covid- 19 Robot with Haar-Like Feature Method

During the current Covid-19 pandemic, of course, all activities are limited, thus encouraging people to be more creative and innovative in all fields, especially in the field of technology. Everyone will be encouraged to create the right technology to deal with the pandemic situation in the future. To help break the chain of the spread of the corona virus, the Covid Robot was created. This robot will help the needs of patients who are sick due to covid in the hospital or can help the medical team not to come into direct contact with patients affected by COVID-19. In carrying out its work, of course, the robot needs to recognize several objects that will be encountered in the hospital, so it needs a program to distinguish objects and detect the presence of objects that will produce output recognition of objects in the hospital. With the increasingly sophisticated technology and the stronger computing capabilities of computers, many computational techniques such as artificial intelligence (AI) can be implemented in the real world. By utilizing one technology to solve the problem of detecting down stairs in a hospital, we need image processing technology, this technology is called digital image processing or Digital Image Processing which is part of Machine Learning and also Deep Learning. In digital image processing, we also need to make a command with the Python programming language so that it can be understood by the computer when it will run the given command for down stair Detection using Haar-like Feature.