Identify if someone is holding a cigarette
using AI
Below is a free classifier to identify if someone is holding a cigarette. Just upload your image, and our AI will predict if someone is holding a cigarette - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-someone-is-holding-a-cigarette", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-someone-is-holding-a-cigarette/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-holding-a-cigarette/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if someone is holding a cigarette.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Cigarette Held and No Cigarette Held.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if someone is holding a cigarette).
Whether you're just curious or building if someone is holding a cigarette detection into your application, we hope our classifier proves helpful.
Need to identify if someone is holding a cigarette at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Anti-Smoking Campaigns: Organizations conducting anti-smoking campaigns can use the identifier to analyze public behavior and assess the effectiveness of their initiatives. By identifying instances of cigarette usage in various locations, they can tailor their educational materials and outreach efforts to high-usage areas.
- Health Monitoring Applications: Health apps designed to promote wellness can integrate this identifier to track users' smoking habits. By collecting data on cigarette usage in real-time, these apps can provide personalized feedback and advice to help users quit smoking.
- Public Space Surveillance: City officials can implement the identifier in public surveillance systems to monitor smoking in restricted areas. This data can support enforcement of smoking bans in parks and public buildings, helping maintain a cleaner environment.
- Retail Analytics for Tobacco Products: Tobacco retailers can employ the identifier in their stores to analyze customer behavior and interactions with cigarette products. This information can help identify purchasing patterns, allowing retailers to optimize stock levels and promotional strategies.
- Insurance Risk Assessment: Insurance companies can leverage the identifier during health risk assessments for potential clients. By identifying smoking habits, insurers can better evaluate risks and set premiums accordingly, fostering a more tailored approach to health insurance policies.
- Social Media Content Moderation: Social media platforms can utilize the identifier to flag content that features cigarette usage, allowing for better moderation of posts that promote smoking. This could help create a healthier online environment, especially for younger audiences.
- Workplace Health Programs: Companies can integrate the identifier into workplace wellness programs to monitor smoking habits among employees. This can aid in designing targeted interventions and support systems, contributing to a healthier workforce and potentially lowering health-related costs.