3 d image knowledge in operation 440 subsequently the image crowdsourcing unit 300 receives a service request in operation 450 searches for and analyzes the image knowledge on the basis of the received request in operation 460 and requests a human intelligence task hit through the crowdsourcing when the image knowledge stored and managed in the image crowdsourcing unit is not sufficient in operation 470 in this case if the feature of the requested hit is image data collection the image data collection is automatically performed if the feature of the requested hit is image data analysis the intervention of the producer is requested the image crowdsourcing unit 300 integrates hits to generate a new knowledge content in operation 480 and provide the generated knowledge content to a user in operations 490 fig5 to 8 are exemplary diagrams of a crowdsourcing based image knowledge content generation system and method in accordance with an embodiment of the present invention referring to fig5 an example of an image based knowledge service performed by an image knowledge center that is the image crowdsourcing unit 300 of fig1 is a public safety knowledge service for providing public safety by monitoring suspicious or dangerous persons in a public place such as a subway station airport or stadium where many persons are crowded together referring to fig6 another example of the image based knowledge service is a public safety knowledge service for quickly arresting a criminal suspect by collecting image information through an image provision apparatus such as a cctv smartphone or black box which is positioned on an event occurrence point or escape path when a crime such as child kidnapping occurs referring to.