As one of the first demonstration cities in the "Snow Bright Project," Quzhou in Zhejiang Province is leveraging Alibaba Cloud's ET City Brain to drive innovation. The city has developed a comprehensive "four networks and one brain" architecture, utilizing artificial intelligence to build a global perception system that enhances public safety and improves people's sense of security.
The city brain in Quzhou enables intelligent video analytics that is both controllable and real-time. By integrating technologies such as machine vision, big data, and AI, it breaks traditional work models by merging cross-regional, cross-departmental, and cross-level data for better information sharing and collaboration.
From "eyes" that simply observe to "minds" capable of seeing and thinking, the project represents a major leap forward in smart security. Deepening video surveillance applications, Quzhou has established a comprehensive video image analysis system that allows real-time control over key areas and events, significantly boosting the effectiveness of its three-dimensional and intelligent public security systems.
According to the Comprehensive Management Office of Quzhou, a key feature of the "Snow Bright Project" is the use of Alibaba Cloud’s ET City Brain, which greatly enhances the level of intelligent application. This not only strengthens big data analysis but also upgrades the "eyes" of the Snow Bright Project into a "mind" capable of intelligent decision-making.
An example from early 2017 illustrates this transformation. In a vehicle theft case, police previously spent six hours manually reviewing footage from 17 points along a 4 km route to find the suspect. With the city brain, the same case was solved in just 18 minutes using cross-camera search, pedestrian recognition, and high-dimensional feature retrieval.
This is just one instance of how smart security can revolutionize law enforcement. Beyond crime detection, the city brain also plays a role in managing residential areas, potentially replacing traditional house-to-house inspections with AI-driven solutions.
The city brain supports hundreds of simultaneous video feeds, enabling dynamic scheduling. It can be dispersed across different areas or concentrated during emergencies—such as focusing on crowded places like stadiums, train stations, and shopping malls during large events to prevent accidents like stampedes.
Behind the "city brain" lies a world-class technology research platform. From reading cameras to thinking, judging, and making decisions, a range of advanced technologies powers this system.
In urban environments, pedestrians and vehicles are constantly moving, and recognition accuracy is challenged by factors like lighting, angles, and distances. To address this, Alibaba's iDST vision computing team has introduced several world-leading innovations.
For pedestrian detection, they developed a cascaded network based on target size classification, improving feature extraction by leveraging regional context. This method won first place in the KITTI benchmark, a globally recognized machine vision algorithm ranking.
For pedestrian recognition, they use deep learning to extract global features, combined with super-resolution modules and deep attention networks to capture detailed local features like the head and torso. This technology ranks first in the Market1501 dataset, a well-known benchmark for pedestrian recognition.
Hua Xiansheng, vice president of iDST and an IEEE Fellow, emphasized that the city brain's application scenarios serve as the starting point for many technological advancements, which will eventually be implemented in real-world settings. Hua is a leading expert in visual identification and search, and has been recognized as an IEEE Fellow and ACM Outstanding Scientist.
Previously, the iDST team broke the KITTI record with a vehicle detection rate of 90.55%, and three papers on human trajectory prediction and traffic data sampling were accepted at the top international conference ACMMM.
These cutting-edge technologies enable the city brain to analyze video images in real time, perform multi-camera linkage analysis, and conduct cross-camera cooperative analysis. It can handle billions of images for search and achieve high-precision full-coverage image feature extraction, playing a vital role in urban traffic monitoring and big data analysis.
Quzhou’s efforts represent a new national model, where artificial intelligence is used to enhance grassroots governance and safeguard people's peace. In November 2017, Alibaba Cloud was selected as one of the first next-generation AI open innovation platforms in China, marking the first time AI was integrated with open data platforms for urban governance.
Wang Jian, chairman of the Alibaba Group Technical Committee, noted that the city brain brings breakthroughs in urban governance, service models, and industrial development. The Quzhou city brain will help Cangzhou build a social governance infrastructure supported by the "Snow Bright Project," aiming to create China’s safest cities and further advance the construction of an information-based, three-dimensional public security system, ensuring social stability and people's peace.
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