Identify if there's a no smoking sign using AI

Below is a free classifier to identify if there's a no smoking sign. Just upload your image, and our AI will predict whether smoking is allowed or prohibited - in just seconds.

if there's a no smoking sign identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-there's-a-no-smoking-sign", "your_image_url", credentials)
            

fetch('https://www.nyckel.com/v1/functions/if-there's-a-no-smoking-sign/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-there's-a-no-smoking-sign/invoke
            

How this classifier works

To start, upload your image. Our AI tool will then predict whether smoking is allowed or prohibited.

This pretrained image model uses a Nyckel-created dataset and has 6 labels, including Designated Smoking Area, No Smoking, Non-Smoking Zone, Partial Smoking Restriction, Smoking Allowed and Smoking Prohibited.

We'll also show a confidence score (the higher the number, the more confident the AI model is around whether smoking is allowed or prohibited).

Whether you're just curious or building if there's a no smoking sign detection into your application, we hope our classifier proves helpful.

Need to identify if there's a no smoking sign at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Workplace Safety Compliance: This function can be integrated into workplace monitoring systems to ensure that no-smoking policies are enforced. By automatically identifying the presence or absence of no smoking signs, companies can maintain a safer environment and reduce health-related liabilities.

  • Public Space Monitoring: Municipalities can utilize this classification function in public spaces to ensure compliance with smoking regulations. The system can trigger alerts if no smoking signs are missing or vandalized, enabling prompt corrective actions to uphold public health standards.

  • Insurance Risk Assessment: Insurance companies can leverage this function in risk assessments for properties. By verifying the presence of no smoking signs, insurers can better evaluate potential fire hazards and liabilities associated with properties, influencing premium rates and coverage options.

  • Event Management Compliance: Event organizers can use this function to monitor compliance with smoking regulations at large venues. By ensuring adequate no smoking signage is visible, they can create a healthier environment for attendees and avoid fines associated with policy violations.

  • Retail Location Evaluation: Retail managers can implement this function to assess their stores' compliance with smoking regulations. By ensuring that proper signage is in place, they not only adhere to local laws but also promote a positive shopping experience for customers.

  • Real Estate Property Management: Property management companies can utilize this function to ensure that their residential and commercial properties have appropriate no smoking signage. This helps in maintaining tenant safety and satisfaction while potentially enhancing property value through adherence to health regulations.

  • Automated Audit Systems: Businesses can incorporate this function into automated auditing tools for compliance checks. This minimizes the manual effort in monitoring sign placement and ensures consistent standards across multiple locations, leading to improved regulatory compliance and operational efficiency.

Want this classifier for your business?

In just minutes you can automate a manual process or validate your proof-of-concept.

Get Access