Identify if image is workplace safe using AI

Below is a free classifier to identify if image is workplace safe. Just upload your image, and our AI will predict if the workplace is safe - in just seconds.

if image is workplace safe identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-image-is-workplace-safe-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-image-is-workplace-safe-identifier/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-image-is-workplace-safe-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the workplace is safe.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Workplace Safe and Workplace Unsafe.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the workplace is safe).

Whether you're just curious or building if image is workplace safe detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if image is workplace safe at scale?

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



  • Workplace Safety Compliance Monitoring: This use case involves using the image classification function to automatically assess whether workplaces adhere to safety standards. By implementing this system, organizations can promptly identify potential hazards and ensure compliance with safety regulations, thereby reducing the risk of accidents.

  • Construction Site Risk Assessment: Construction companies can utilize the image classification function to regularly evaluate job sites for safety violations. Automated assessments can help site managers quickly address unsafe conditions, thereby ensuring the well-being of workers and minimizing delays due to safety concerns.

  • Equipment Safety Inspections: The image classification function can be used to assess the safety of machinery and equipment in a workplace. By automating inspections, companies can maintain operational efficiency while ensuring that all equipment meets safety standards, which ultimately minimizes the risk of injuries.

  • Safety Training Effectiveness Evaluation: Organizations can apply image classification to analyze training sessions capturing safety equipment and behaviors. This assessment can help measure the effectiveness of safety training programs, providing actionable insights to improve training methods and employee awareness.

  • Incident Reporting and Analysis: Businesses can integrate the image classification function into their incident reporting systems to evaluate images from reported accidents. This analysis allows for quicker identification of systemic issues within the workplace, leading to improved safety protocols and preventive measures.

  • Hazardous Material Management: This use case focuses on the automatic classification of images showing the handling or storage of hazardous materials. By identifying unsafe practices in real time, organizations can enforce proper handling procedures and training, ultimately protecting employees and the environment.

  • Remote Workplace Safety Audits: Companies with remote or dispersed teams can use this image classification function to conduct virtual safety audits of various facilities. By collecting and analyzing images from different sites, auditors can evaluate safety conditions and provide recommendations without needing physical site visits, saving time and resources.

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