Kyushu University, Kagoshima University, and the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) have developed a system to visualize the amount of garbage in the city by type using the garbage collection SNS “Pirika” developed by Pirika and image analysis AI based on deep learning.
By visualizing garbage in the city, it is possible to identify the items and locations that are sources of pollution and contribute to the planning of pollution countermeasures with priority.
In addition, even if cleaning activities were carried out in the city, there was no way to know the extent to which they contributed to the continuous beautification of the city, but if a system can be established to regularly observe a certain area, it will be possible to visualize the extent to which the cleaning effect contributed to the subsequent increase in the amount of garbage. Based on the results of regular observations, it will also be possible to visualize and publicly display the effects of the measures on a map.

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