Stress is a problem in human life today. The pandemic caused by COVID-19 has also caused increased stress. Some people are aware of the stress they are experiencing and can control it, but some are unaware. Subsequently, it is vital to identify it early to anticipate worsening the condition. A noninvasive, easy, and convenient method is needed to predict daily life stress. One widely developed noninvasive stress detection method is the image processing technique. This technique uses images captured by cameras. Various image processing techniques are applied, i.e., extracting temperature, biosignal, and respiration parameters. This study investigated research on stress detection using biosignals based on image processing techniques. This research found that stress detection can be done using a webcam, a cheap and easy method to implement. Several limitations, such as accuracy and minimizing environmental influences, are still challenging to improve.