Indoor Access Control Device Scene Recognition Set

#Image classification #facial detection #identity verification #Facial recognition #access control system #smart security
  • 500 records
  • 1.6G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

This dataset contains images of access control devices in indoor scenes such as office buildings and corporate office areas, covering various types including turnstile access control and door-mounted recognition terminals. It can be used to train AI models to recognize access control devices in different scenes, aiding security system equipment detection and scene adaptation analysis, and is suitable for security device recognition tasks in smart buildings and office areas.

Dataset Insights

Sample Examples

c10d034d**.jpg|584*480|82.07 KB

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
zone_typestringDescribes the specific area where the access control device is located, such as an office or corridor.
lighting_conditionstringThe lighting condition when the image was captured, such as bright or dim.
door_statusstringRecords the status of the door when the image was captured, such as open or closed.
num_of_personsintThe number of persons in the image.
person_activitystringDescribes the activities of persons in the image, such as walking or standing.

Compliance Statement

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

Frequently Asked Questions

Which industry is this dataset suitable for?
This dataset is suitable for the smart devices industry, especially for applications related to access control systems.
How can the accuracy of models based on this dataset be improved?
The accuracy of access control device recognition can be effectively improved by training models with diverse scene images and precise annotated data.

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Cite this Work

@dataset{Mobiusi2026,
  title={Indoor Access Control Device Scene Recognition Set},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/06c57c04963e14dcbe1222618b4b4997?dataset_scene_cate_type=2},
  urldate={2026-02-02},
  keywords={Facial recognition dataset, access control system training data, smart security image dataset},
  version={1.0}
}

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