mobile detection Computer Vision Dataset
About mobile detection Dataset
Here are a few use cases for this project:
-
Distracted Driver Detection: This model can be incorporated into vehicular systems to alert when drivers are distracted by activities such as mobile use, drinking, eating, or smoking, thereby improving road safety.
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Public Health Research: Researchers can use this model to anonymously collect data in public spaces to study the prevalence of unhealthy habits like smoking and high consumption of fast food, informing public health initiatives.
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Employee Productivity Monitoring: Companies could use this model to monitor employee focus and productivity, identifying when workers are distracted by mobile phones, eating, or smoking during work hours.
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Parental Control Applications: The model can be used to monitor children's activity, alerting parents if the child uses a mobile phone excessively or is detected smoking.
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Consumer Behaviour Analysis: Retail businesses can use the model to understand the habits of their customers better, such as the prevalence of mobile use in-store, food and drink consumption patterns, and smoking habits.
Use Free Smoking, Drinking and Eating Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "smoking, drinking, eating, mobile use"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ mobile-detection-l2iov-hsjdh_dataset,
title = { mobile detection Dataset },
type = { Open Source Dataset },
author = { object detection },
howpublished = { \url{ https://universe.roboflow.com/object-detection-ek5ii/mobile-detection-l2iov-hsjdh } },
url = { https://universe.roboflow.com/object-detection-ek5ii/mobile-detection-l2iov-hsjdh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { jun },
note = { visited on 2026-07-29 },
}