鲁尔物联-智能硬件

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Deformation Crack Rain Soil Moisture Sensor Water Level Pressure Environment Communication Terminal Alarm Gas Network

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AI Data Annotation Platform

Urban Safety Natural Resources Infrastructure

Urban Safety

Geo-Hazards Open-Pit Mines Tailings Ponds Small Watersheds

Hydraulic Engineering

Hilly Pond Reservoir

Underground Network

Gas Network Water Delivery Network Sewage Network Utility Tunnel

Transportation Facilities

Roads Bridges Tunnels Railways Subway and Light Rail Highway Slope

Construction Safety

High-Rise Building Old Communities Dilapidated Houses

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AI Data Annotation Platform

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Platform Introduction Platform Architecture Key Features Platform Advantages Typical Cases

Platform Introduction

The Ruhr IoT AI Data Annotation Platform is a platform for the production and management of high-quality data in the environment-physics domain. It has been selected as a pilot for the National Data Administration's first batch of typical industry high-quality dataset construction cases. The platform efficiently completes annotations for image, text, audio, and video, providing data support for automated model-algorithm optimisation.

Platform Architecture

Key Features

Multi-modal Data Pre-processing

Supports multimodal structure data fusion, automated route-free classification, achieving expert-level precise processing.

Intelligent Data Annotation

AI-assisted combined annotation mode, multi-scenario pre-annotation tasks, automatic completion of annotation and review.

End-to-End Quality Management

Establishes a closed-loop data quality control mechanism, improving annotation quality and compliance, continuously preventing quality optimisation.

AI Model Data Verification

Provides structured basis for AI model training, multi-dimensional feature mining, improving accuracy of AI model efficiency.

Platform Advantages

Source Governance

Built-in industry-standard data, efficient data cleaning and self-check, providing high-quality dataset foundation.
Multi-modal

Configures panoramic full-stack timely combination, covering full scenarios of business.
High Accuracy

With training data, multi-circle iteration, continuous optimisation improves data accuracy.
High Efficiency

Strong complete automated annotation capability, greatly improving data production efficiency.

Typical Cases

Low-altitude City-safety Inspection High-quality Dataset

Integrates multi-platform/device data, standardising and providing dataset standardised support.

Water Conservancy Engineering Monitoring Image Set

Integrates water conservancy/digital-twin/dispatch data, providing structured training dataset for AI scenarios.

Transportation Infrastructure Image Set

Provides structured data such as road/tunnel/etc., serving downstream intelligent-perception tasks.

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Company Address

No. 53 Qiyi Lane, Wuchang Sub-district, Yuhang District, Hangzhou City, Ruhr IoT Headquarters Park

RUHRloT

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