Megvii Wanxiang
Megvii Wanxiang, a comprehensive city governance software platform, is a major component of Megvii’s smart city brain. Through its scenario detection and identification technology, the platform covers various applications, including city administration, social governance, environmental protection and transportation. It is able to detect and identify all kinds of unlawful acts and help combat crime. Megvii Wanxiang provides off-site enforcement solutions, reducing human resource costs for the governance of cities.
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Overview

Features

Object Identification

The platform, powered by identification algorithms trained with the Megvii Objects365 general object detection dataset, can identify all kinds of common targets in city administration and accurately locate urban governance issues

Off-site Legal Assistance

Used to help identify and combat crime, the platform can identify suspicious acts and alert relevant institutions, providing a whole evidence chain for supporting legal enforcement

Plug-and-play Algorithms

With Megvii’s latest algorithm-powered warehouse technology, the platform is able to flexibly match and customize multiple long-tail identification algorithms that can be applied in all kinds of scenarios

Object Identification

The platform, powered by identification algorithms trained with the Megvii Objects365 general object detection dataset, can identify all kinds of common targets in city administration and accurately locate urban governance issues

Off-site Legal Assistance

Used to help identify and combat crime, the platform can identify suspicious acts and alert relevant institutions, providing a whole evidence chain for supporting legal enforcement

Plug-and-play Algorithms

With Megvii’s latest algorithm-powered warehouse technology, the platform is able to flexibly match and customize multiple long-tail identification algorithms that can be applied in all kinds of scenarios
Scenarios
City Environment Management
Street Order Management
Construction Management
Emergency Management
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