Firstly, the employee enters the company's LMS system or the Examus website/application, where the equipment (computer/smartphone, Internet connection, camera and microphone) is tested for perfomance. Further, in order to access the exam, the test-taker pass the identity check. This is the first barrier for those who cheat. Due to identification, the possibility of employee swapping with another person is excluded. At the same time, identification continues throughout the entire exam – thus, it will not be possible to replace an employee during testing.
After that, the employee goes to the exam page, where his actions are closely monitored by artificial intelligence and proctor. Each customer chooses his own option: someone prefers to use both computer vision technology and a human proctor, someone wants only AI to monitor employees. If proctors detect an employee suspicious action, information about this will be sent to the company's server. Next, the proctors analyze the video of the exam and, based on it, decide whether the employee passed the test honestly or not.
To provide customers with the necessary flexibility, the Examus proctoring system works with open API. Developers can integrate Examus with almost any user identification technology. For example, last year, together with our partners, we created Luna Exam, a system for remote exams, which combines the best solutions of Examus and Vision Labs. Integration is also possible with any LMS and cloud storage that the company uses. Customers are also provided with an optional technical support: if necessary, Examus is ready to provide it 24/7.
If you want to boost the quality of your remote employee training, feel free to contact us!