Method and system for vision-based automatic fault notification and classification of system lighting

An apparatus for fault diagnosis of a lighting, the apparatus comprising:

• a receiver configured to receive fault symptom data of a test for each of one or more predetermined fault items, the fault symptom data tagged with the fault items, based on the test for each of the one or more predetermined fault items;
• a fault symptom image database (DB) in which a fault symptom image is pre-stored;
• a diagnoser configured to determine a first fault item among the one or more predetermined fault items, retrieve a fault comparison image corresponding to the first fault item from a fault symptom image DB, and diagnose whether the fault symptom data corresponds to the first fault item by comparing the fault symptom data tagged with the first fault item to the fault comparison image;
• and
• a recommender configured to recommend a repair method based on the fault symptom image DB when the fault symptom data corresponds to the first fault item.

A method of generating fault symptom data, the method comprising:

• controlling a lighting by executing a test control instruction for each fault item;
• capturing an image of the lighting;
• tagging and storing the captured image for each fault item;
• receiving a user opinion in relation to a fault symptom;
• generating fault symptom data of a test for each fault item based on device information of the lighting, the tagged image, and the user opinion;
• and
• transmitting the fault symptom data of the test for each fault item to a server.