In a security system designed for a corporate environment, a company implements a facial recognition technology to identify employees entering the building. The system uses a dataset of 10,000 employee images to train its model. During the testing phase, the model achieves an accuracy of 95% in identifying employees correctly. However, it also raises concerns about false positives, where the system incorrectly identifies a non-employee as an employee. If the false positive rate is determined to be 2%, what is the expected number of false positives if 1,000 non-employees attempt to enter the building?