Air Conditioner Remote Control Key Recognition Dataset
#Key Recognition #Image Classification #Human-Machine Interaction #Quality Control #Error Detection
- 15000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-13
AI Analysis & Value Prop
The current industrial sector faces challenges in ensuring accurate human-machine interactions, particularly in the recognition of remote control keys. Existing solutions often struggle with key misalignment and character errors, leading to operational inefficiencies. This dataset aims to address specific technical issues related to the accurate identification of key positions and labels, which are essential for improving interaction accuracy. The dataset is structured to include images captured under various lighting and positioning conditions. Data collection involved high-resolution cameras in controlled environments to ensure consistency. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to maintain high standards. The dataset is organized in JPG format, facilitating easy integration with machine learning models.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| button_count | int | The total number of buttons on the remote control. |
| button_type | string | The functional types of buttons on the remote control, such as power, temperature adjustment, mode selection, etc. |
| button_layout | string | The layout or arrangement style of the buttons on the remote control. |
| button_text | string | The text labels on the buttons. |
| label_bounding_box | string | The coordinates of the annotated bounding box in object detection. |
| button_shape | string | The geometric shapes of the buttons, such as round, square, oval, etc. |
| remote_color | string | The color of the main body of the remote control. |
| button_color | string | The color of the buttons. |
| logo_presence | boolean | Whether there is a brand logo on the remote control. |
| infrared_emitter_location | string | The position of the infrared emitter on the remote control relative to other buttons. |
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
- What are the application scenarios of the air conditioner remote control button recognition dataset?
- This dataset can be used to improve the smart recognition systems of air conditioner remote controls, optimizing human-computer interaction experience, and is suitable for smart home and industrial automation fields.
- How does the air conditioner remote control button recognition dataset improve recognition accuracy?
- By providing high-quality annotated data and diverse samples, this dataset assists in training more accurate object detection models, thereby improving button recognition accuracy.
- Is this dataset applicable to other types of remote controls?
- While this dataset is focused on air conditioner remote controls, its techniques and methods can be extended to object detection tasks for other types of remote controls.
- What are the technical requirements for using the air conditioner remote control button recognition dataset?
- Basic knowledge of computer vision and machine learning is required, along with familiarity with image processing and object detection frameworks such as TensorFlow or PyTorch.
- What impact does this dataset have on the development of smart homes?
- The application of the dataset can reduce remote control operation errors and enhance the response speed and accuracy of smart devices, thus advancing the development of smart homes.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Air Conditioner Remote Control Key Recognition Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/21292bbe055fc6c91d3852cbd4d251b1},
urldate={2025-08-28},
keywords={air conditioner remote control dataset,key recognition dataset,industrial image dataset},
version={1.0}
}Using this in research? Please cite us.
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