Identify if someone is vaping
using AI
Below is a free classifier to identify if someone is vaping. Just upload your image, and our AI will predict if someone is vaping - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-someone-is-vaping", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-someone-is-vaping/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/if-someone-is-vaping/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if someone is vaping.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Not Vaping and Vaping.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if someone is vaping).
Whether you're just curious or building if someone is vaping detection into your application, we hope our classifier proves helpful.
Need to identify if someone is vaping at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Public Health Surveillance: This function can be implemented by health organizations to monitor vaping trends in specific areas. By analyzing images from public spaces, the data collected can help in understanding usage patterns among different demographic groups, ultimately informing public health policies and awareness campaigns.
- School Safety Monitoring: Educational institutions can use this identifier to detect vaping activities on campus through security cameras. By identifying instances of vaping, schools can enforce anti-vaping policies, increase student awareness, and provide necessary support resources to students found violating these rules.
- Retail Compliance Verification: Vape retailers can utilize this technology to ensure compliance with age restrictions by monitoring customer behavior. When the system flags potential underage vaping, retailers can take preventive actions, thereby reducing legal risks and promoting responsible business practices.
- Workplace Health Programs: Companies looking to promote a healthier work environment can deploy this technology to identify vaping in the workplace. This information can guide the development of health initiatives, workshops, or counseling services aimed at discouraging vaping among employees.
- Event Security Management: Large public events, such as concerts and festivals, can implement this identifier to maintain a smoke-free atmosphere. By detecting vaping in real-time, organizers can respond quickly, ensuring the event adheres to health regulations and enhances the experience for all attendees.
- Social Media Content Moderation: Platforms can integrate this identifier to monitor and restrict content that promotes vaping among users, particularly minors. By flagging images of vaping, social media companies can ensure compliance with advertising standards and contribute to reducing vaping's visibility online.
- Research and Data Analysis: Researchers studying adolescent behavior can utilize this function to gather data on vaping habits from various public settings. This data can be analyzed to better understand factors influencing vaping trends, aiding in the development of targeted interventions and educational programs.