Mobile application that helps to test the effectiveness of photo-separators' settings. Functionality allows to identify bad and good grains from a photo, and then to sort the grain according to data received. A brief working process using the application:

• Operator takes pictures of refined grains and unsuitable items;
• Operator drops the grain in photo separator and machine sorts the grain;
• Operator takes a picture of the sorted grain and mobile app sends this photo to the server;
• Artificial intelligence determines the number of good and bad grains;
• Based on the received percentage of unusable elements in the sorted grain, the operator understands how well the photo separator is set up and what settings need to be changed.