Dataset of Abnormal Events of Large Machinery Uncontrolled Movement

#event recognition #behavior analysis #anomaly event detection #safety monitoring #automated monitoring

500 records
1.7G
MP4/JSON
CC-BY-NC-SA 4.0
MOBIUSI INC

Updated:2026-02-04

AI Analysis & Value Prop

The current industrial field faces safety hazards caused by uncontrolled large machinery, especially in the detection of abnormal behavior in dynamic scenarios with stackers, cranes, and similar equipment, requiring effective solutions. Current monitoring systems heavily rely on manual inspections, which are inefficient and prone to missed or false reports, failing to provide timely responses. To address this technical challenge, this dataset offers a large volume of video footage of machinery uncontrolled events in real scenarios, aiming to enhance the intelligence of automated monitoring systems. During data collection, high-resolution cameras were used for real-time recording at industrial sites, ensuring the authenticity and diversity of data. We implemented multiple rounds of annotation and expert review mechanisms to ensure data quality, and data is stored in MP4 format to facilitate subsequent analysis and processing.

Dataset Insights

Sample Examples

f9c3e40f**.mp4|394*702|1.30 MB

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
quality	string	Resolution

Compliance Statement

Authorization Type	CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

In which industrial scenarios can this dataset be used?: The Large Machinery Uncontrolled Movement Anomalies Dataset can be used for industrial safety monitoring, construction site automation supervision, and hazard analysis.

What types of anomalies are included in the dataset?: The dataset mainly includes anomalies where large machinery exhibits uncontrolled movement during operation, such as equipment malfunctions and abnormal actions due to human error.

How can this dataset be used to enhance industrial safety?: By analyzing videos within the dataset, machine learning models can be trained to recognize and predict machinery loss-of-control scenarios, providing early warnings and improving safety measures.

What contribution does this dataset make to the development of video understanding technology?: The dataset provides video data of specific events in industrial environments, aiding in enhancing video understanding models' ability to detect events in complex scenarios.

Does the dataset include annotation information?: The dataset typically includes detailed annotation information, such as event type, occurrence time, and relevant descriptions, which facilitate machine learning model training.

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Cite this Work

@dataset{Mobiusi2025,
  title={Dataset of Abnormal Events of Large Machinery Uncontrolled Movement},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/39ae4ec75ba1de619d92fa30e153c2ec?cate=4},
  urldate={2025-09-15},
  keywords={large machinery, uncontrolled events, video monitoring, industrial safety, anomaly detection},
  version={1.0}
}

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