An identification model for detecting damages on fresh destemmed chili (capsicum) was developed, but the limitation is that the cameras can only capture from one side. Therefore, this study focused on developing the flipping mechanism, which rotates and flips chili fruits and helps the camcorder to observe and recognize errors on the entire body. The model was designed, fabricated and tested. Experiments were performed on 2400 fruits with 12000 flipping times, at 12 different velocities. The effective flipping rate was up to 96.3%. The fruits destroying percentage was also found to be remarkably low. These results were acceptable. The mechanism would be used to implement and test the identification algorithms in future chili grading systems.