Intelligent City Hub-Ascend Community

Intelligent City Hub

Build an intelligent city

Solution Overview

The Intelligent City Hub solution is designed for digital governments to accelerate the intelligent upgrade and make cities smarter. This solution integrates the base software and hardware required for the underlying AI computing power, a software platform with intelligent scheduling capability, and various AI software algorithms. It provides standard APIs and delivers AI services to government agencies, which then, in turn, call these services to support urban governance and smart service applications.

Challenges

Intelligent City is a milestone for city transformation and upgrade, quality improvement, and efficiency improvement. Intelligent cities face numerous challenges in governance.

Siloed Information Systems

Cities often face information and data silos, which prevent them from achieving unified situational awareness, effective governance, timely emergency response, and informed decision-making.

Complex Service Processes

Complex government processes and inter-agency systemic barriers hinder integrated public service delivery, leading to low citizen satisfaction.

AI Innovation Needs

Government AI innovations mostly depend on foreign-made software and hardware. Localized technology is urgently needed to become the foundation of city intelligence.

Solution Networking Architecture

Solution Highlights

Full-stack, Independent AI Innovation

Enable the development of a sustainable and resilient intelligent city AI ecosystem

Open Platform and Agile Innovation

Decouple software and hardware

Enable device-edge-cloud collaboration

Innovate and iterate all-scenario intelligence continuously

Prosperous Industry Ecosystem

Aggregate the advantages of various high-quality industry partners

Build standardized and replicable intelligent city solutions

Application Scenarios

Roadside stalls

Waste

Parking violation

Waterlogging

Bare soil

Challenges

High labor costs and heavy workload

Scheduled patrols, which are slow to identify issues

Cases closed without resolution, leaving the public dissatisfied

Benefits

Automatic incident report with an accuracy of over 90%

Automatic evidence collection, saving 50% labor

Automatic case closure upon alarm clearance

Water gauge reading

Drainage outlet

Floating object and uncivilized behavior

Water boundary

Challenges

The area near the water gauge presents challenging conditions, with reflections, blurred images, and poor lighting in rivers, gates, and cities, needing technical improvements.

Outlets vary widely, with their environments influenced by factors like nighttime lighting and nearby water surfaces.

Urban rivers present a complex environment with multiple factors impacting algorithmic accuracy: floating leaves, falling petals, flying insects, water reflections, artificial lighting, and moving vessels.

The target is distant, tiny, and hard to spot. Reflections on the water, poor nighttime lighting, and unpredictable human actions complicate detection.

Benefits

The water gauge recognition accuracy can reach 85% or higher.

Identification of various outlet types achieves an accuracy of over 85%, independent of environmental influencing factors.

Identification of floating objects covering at least 5% of the screen achieves an accuracy of over 85%. It also identifies improper actions like washing mops or clothes, littering, and dumping waste.

It can detect small objects like swimmers, boats, or intruders accurately from far away with an accuracy of over 80%.

Service assistant

Scenario-guided QA clarifies applicants' needs, generates an online list of services, and assists with online application processes.

Intelligent approval

The OCR service converts various approval materials into standardized electronic documents, improving approval efficiency.

Intelligent hotline

AI technologies such as speech recognition, natural language understanding, and speech synthesis enable smart navigation, auto-filling forms, and sorting tasks.

Machine learning models are used to analyze work order text and rank suggested departments by likelihood.

Intelligent QA

The voice or QA bots help users quickly find accurate answers.

Key semantic information from voice/web/APP/WeChat messages can be extracted to find matching content precisely.

Urban Management

Roadside stalls

Waste

Parking violation

Waterlogging

Bare soil

Challenges

High labor costs and heavy workload

Scheduled patrols, which are slow to identify issues

Cases closed without resolution, leaving the public dissatisfied

Benefits

Automatic incident report with an accuracy of over 90%

Automatic evidence collection, saving 50% labor

Automatic case closure upon alarm clearance

Water Affairs

Water gauge reading

Drainage outlet

Floating object and uncivilized behavior

Water boundary

Challenges

The area near the water gauge presents challenging conditions, with reflections, blurred images, and poor lighting in rivers, gates, and cities, needing technical improvements.

Outlets vary widely, with their environments influenced by factors like nighttime lighting and nearby water surfaces.

The target is distant, tiny, and hard to spot. Reflections on the water, poor nighttime lighting, and unpredictable human actions complicate detection.

Benefits

The water gauge recognition accuracy can reach 85% or higher.

Identification of various outlet types achieves an accuracy of over 85%, independent of environmental influencing factors.

Identification of floating objects covering at least 5% of the screen achieves an accuracy of over 85%. It also identifies improper actions like washing mops or clothes, littering, and dumping waste.

It can detect small objects like swimmers, boats, or intruders accurately from far away with an accuracy of over 80%.

Service assistant

Scenario-guided QA clarifies applicants' needs, generates an online list of services, and assists with online application processes.

Intelligent approval

The OCR service converts various approval materials into standardized electronic documents, improving approval efficiency.

Intelligent hotline

AI technologies such as speech recognition, natural language understanding, and speech synthesis enable smart navigation, auto-filling forms, and sorting tasks.

Machine learning models are used to analyze work order text and rank suggested departments by likelihood.

Intelligent QA

The voice or QA bots help users quickly find accurate answers.

Key semantic information from voice/web/APP/WeChat messages can be extracted to find matching content precisely.

Success Stories

Intelligence Enables Wisdom

Longgang applies AI technology across six key areas—urban management, firefighting, transportation, construction, water affairs, and market supervision—addressing over 60 real-world scenarios. This approach enhances city operations and improves the quality of life for residents.

In terms of ecological development, Longgang District has built an algorithm training base in Dayun AI Town to attract talent. The base offers combined services with practical data, AI computing power, and platforms to support local innovation and business ventures. In just over three months, the platform has incubated three startups and produced over 20 AI algorithms, fueling the prosperous development of the local AI industry.

Shenzhen's Longgang district pioneered using AI to create a smart city center focused on urban management needs. Opening access to data and computing resources drives city improvements, supports ecological growth, boosts industries, and advances its smart city system to version 2.0. Longgang applies AI technology across six key areas—urban management, firefighting, transportation, construction, water affairs, and market supervision—addressing over 60 real-world scenarios. This approach enhances city operations and improves the quality of life for residents. In terms of ecological development, Longgang District has built an algorithm training base in Dayun AI Town to attract talent. The base offers combined services with practical data, AI computing power, and platforms to support local innovation and business ventures. In just over three months, the platform has incubated three startups and produced over 20 AI algorithms, fueling the prosperous development of the local AI industry.

Solution Overview

Challenges

Solution Networking Architecture

Solution Highlights

Application Scenarios

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