Power Strip Hot Melt Point Detection Dataset
#Anomaly Detection #Image Classification #Industrial Inspection #Quality Control #Thermal Analysis
- 5000 records
- 1.5G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The current industrial landscape faces significant challenges in ensuring the safety and reliability of electrical components, particularly power strips. Overheating issues often lead to catastrophic failures, yet existing detection solutions tend to lack accuracy and timeliness. This dataset aims to bridge that gap by providing a comprehensive collection of images that identify overheating risks, such as burnt solder points and abnormal soldering conditions. Data is collected using high-resolution thermal cameras in controlled environments, ensuring that images accurately represent the thermal conditions of power strips. Quality control measures include multi-round annotations and expert reviews to enhance consistency and reliability. The dataset is organized in JPG format, with images systematically categorized by their conditions.
Dataset Insights
Sample Examples
4333973f**.png|1153*1500|1.85 MB
f5bd6cbb**.png|1090*1500|1.25 MB
4f5c82c5**.png|1925*1500|946.49 KB
72acf25c**.png|832*1500|1.04 MB
48709e30**.png|1107*1500|1.65 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| overheat_risk_level | int | Detected potential overheating risk level, ranging from 0 to 5 |
| damage_severity | string | Severity of burn damage (minor, moderate, severe) |
| insulation_condition | string | Condition of the insulating materials (intact, slightly worn, severely worn) |
| anomaly_area_percentage | float | Proportion of the abnormal area in the image, ranging from 0 to 1 |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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
- What image content is included in the Power Strip Hot-Melting Point Detection Dataset?
- This dataset includes high-resolution images of power strips to detect overheating hazards such as scorching and soldering abnormalities.
- How to use the Power Strip Hot-Melting Point Detection Dataset for object detection?
- You can train an object detection model with this dataset to detect scorch marks or solder anomalies in power strip images.
- What are the application scenarios of the Power Strip Hot-Melting Point Detection Dataset in the industrial field?
- This dataset can be used in industrial production to help detect and prevent overheating hazards at power strip solder joints, thereby improving product quality and safety.
- Why is hot-melting point detection of power strips important?
- Detecting overheating at power strip solder joints is crucial as it helps prevent potential electrical safety hazards, ensuring product reliability and user safety.
- What features are included in the Power Strip Hot-Melting Point Detection Dataset?
- The dataset features images of power strips from different angles and under varying lighting conditions to capture diverse solder joint abnormalities.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Power Strip Hot Melt Point Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/fa46293be8cf97be257d4bdc50808db3?dataset_scene_id=2},
urldate={2025-08-28},
keywords={Power Strip Detection Dataset,Thermal Anomaly Detection,Industrial Image Dataset},
version={1.0}
}Using this in research? Please cite us.
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