Identify wall condition using AI

Below is a free classifier to identify wall condition. Just upload your image, and our AI will predict the condition of different types of walls - in just seconds.

wall condition identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("wall-condition", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/wall-condition/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/wall-condition/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict the condition of different types of walls.

This pretrained image model uses a Nyckel-created dataset and has 15 labels, including Cracks, Crumbling, Damaged Surface, Extensive Damage, Faded Colors, Foundation Issues, Major Repairs, Minor Repairs, Missing Sections and Moderate Repairs.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the condition of different types of walls).

Whether you're just curious or building wall condition detection into your application, we hope our classifier proves helpful.

Need to identify wall condition at scale?

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



  • Building Maintenance Monitoring: This function can be utilized by property management companies to regularly assess the wall conditions in residential and commercial buildings. By identifying false classifications, they can prioritize maintenance efforts and allocate resources more effectively, ultimately improving tenant satisfaction and reducing repair costs.

  • Insurance Assessments: Insurance adjusters can deploy this function to verify wall conditions during claims investigations. By enhancing the accuracy of damage assessments, they can minimize fraudulent claims and ensure legitimate cases are handled promptly and fairly, which improves operational efficiency.

  • Construction Quality Control: Contractors can implement this function during quality assurance inspections to ensure that walls meet specified condition standards. By accurately identifying wall anomalies early in the construction process, it helps prevent costly rework and project delays.

  • Smart Home Systems: Integrating this function into smart home systems allows homeowners to receive real-time updates on their property’s wall conditions. This proactive approach can alert homeowners to potential issues such as moisture or structural deterioration before they escalate into larger problems.

  • Real Estate Evaluation: Real estate agents can leverage this tool to assess property conditions more accurately before listing homes for sale. By providing potential buyers with reliable wall condition reports, agents can enhance buyers' confidence and improve the sales process.

  • Urban Planning: City planners can use this function to evaluate the condition of exterior walls in public buildings and infrastructure. By understanding wall conditions in urban settings, they can prioritize renovation projects, contributing to safer and more aesthetically pleasing environments.

  • Environmental Monitoring: Environmental agencies can utilize this technology to assess wall damage caused by environmental factors such as humidity, temperature changes, or pollution. Identifying how these conditions affect structures helps in developing better guidelines and policies for building resilience and sustainability.

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