Previously, the detection of spontaneous waste points in many localities, including Hue, mainly relied on inspection forces or manual reflections. In many cases, when detected, the landfill had existed for a long time, causing environmental pollution and affecting urban aesthetics.
However, since the appearance of the AI-integrated camera system at the Smart City Monitoring and Operation Center (HueIOC), things have changed very positively.
Mr. Tran Trong Hieu - Director of HueIOC Center said: waste is no longer only detected when it has accumulated, but can be identified right from the time it occurs. The act of littering in violation of regulations is recorded, warned and transferred to functional units for timely handling.
Another notable point is how Hue connects technology with people through the Hue-S platform. Each reflection on waste is not only received but also the progress of treatment is publicly disclosed. People can monitor and respond if the problem has not been thoroughly resolved.
Thanks to this approach, supervision is no longer a private story of functional agencies, but has become a process with community participation. Technology, in this case, plays the role of a bridge, helping information travel faster and more transparently.
In fact, the use of cameras or digital platforms in urban management is not new. Many large localities such as Hanoi, Ho Chi Minh City or Da Nang have also deployed smart operating centers, integrating many different technology solutions.
However, the difference in Hue is the way of choosing problems to do. Instead of spreading across many fields, Hue focuses on a specific problem, directly related to people's daily lives. When a familiar problem such as waste is treated in a new way, the effectiveness is also more noticeable.
From this story, it can be seen that technology itself does not create change if it is not linked to the way it is organized and implemented. How many cameras or systems are modern is not as important as how they are used and to solve what problems.
Hue's way of doing things shows a fairly clear direction in applying AI to urban management is not to start from too big goals, but to go from very specific issues, very close to people's lives.
When technology is placed in the right place, associated with practical needs and with community participation, the effectiveness is not only in better handling, but also in gradually changing behavior.
From the story of waste, it can be seen that AI is not only a management support tool, but also a catalyst to form a new way of doing things, where data, technology and people participate in the urban operation process.
This is also a suggestion worth considering for localities when implementing smart city solutions in the coming time.
