Water Heater Casing Grounding Screw Detection Dataset
#object detection #image classification #industrial inspection #quality control #safety evaluation
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The current industrial sector faces safety hazards arising from improper installation of grounding screws during water heater production. Traditional manual detection is inefficient and prone to errors. Existing detection solutions usually rely on manual inspection, which may lead to missed detections and false positives. This dataset aims to assist machine learning models in the automatic detection of grounding screws through high-quality image data, improving the accuracy and efficiency of detection. Data collection is performed using industrial cameras in a standardized production environment to ensure image quality. Quality control measures include multiple rounds of annotation and expert review to ensure data accuracy. Data is stored in JPG format, organized by category for easy subsequent training and testing.
Dataset Insights
Sample Examples
9f5c7dd8**.jpg|1080*1408|49.04 KB
f5e77dbb**.jpg|1080*1414|93.08 KB
08c30f9b**.jpg|1080*1408|119.83 KB
6c73f83a**.jpg|1080*1440|220.29 KB
b4683f78**.jpg|1080*1056|49.73 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_count | int | The number of grounding screws in the image. |
| screw_presence | boolean | Whether the grounding screw is present. |
| screw_position | string | The specific location of the grounding screw in the image, represented using coordinates. |
| screw_looseness | boolean | Whether the grounding screw is loose. |
| screw_orientation | string | The installation direction of the grounding screw. |
| screw_visibility | boolean | The visibility of the grounding screw in the image. |
| screw_type | string | The type or model of the grounding screw. |
| installation_status | string | The installation status of the grounding screw, such as installed or not installed. |
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 is the Water Heater Shell Grounding Screw Detection Dataset?
- This dataset contains images used for detecting and identifying the state of grounding screws on water heater shells, aiming to discover missing or loose screws to enhance safety.
- What industrial scenarios is this dataset suitable for?
- The Water Heater Shell Grounding Screw Detection Dataset can be used in industrial scenarios such as production process inspection, quality control, and safety checks.
- Why is this dataset important for industrial safety?
- Because the installation state of grounding screws directly affects electrical safety, using this dataset can ensure assembly quality and prevent potential electrical accidents.
- What is the main objective of this dataset?
- The main objective of the Water Heater Shell Grounding Screw Detection Dataset is to identify and detect the absence and looseness of grounding screws on water heater shells.
- How can this dataset be used to improve quality control on production lines?
- Production lines can integrate object detection algorithms from this dataset to detect the state of grounding screws on each water heater in real-time, ensuring products meet safety standards.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Water Heater Casing Grounding Screw Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/d75b97f6dfb4b04ee72f3759b74646e1},
urldate={2025-09-15},
keywords={water heater detection, grounding screw detection, industrial inspection dataset, image recognition},
version={1.0}
}Using this in research? Please cite us.
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