Identify construction status
using AI
Below is a free classifier to identify construction status. Just upload your image, and our AI will predict the construction status of a building. - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("construction-status", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/construction-status/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/construction-status/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the construction status of a building..
This pretrained image model uses a Nyckel-created dataset and has 10 labels, including Abandoned, Completed, Demolition, Expansion, Future Development, Halted, Maintenance, Planned, Renovation and Under Construction.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the construction status of a building.).
Whether you're just curious or building construction status detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify construction status at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Site Progress Monitoring: This function can be utilized to automate the monitoring of construction site progress by analyzing images captured at different stages. It helps project managers quickly assess whether the construction is on schedule or if there are any delays, facilitating timely interventions.
- Quality Control Assessment: By applying the false image classification to identify discrepancies from the construction specifications, teams can ensure that the work meets quality standards. The function helps in detecting substandard workmanship or materials through image analysis, enhancing overall construction quality.
- Safety Compliance Verification: This function can identify safety protocols being followed on-site by analyzing images for the presence of necessary safety equipment and adherence to guidelines. It enables safety inspectors to quickly verify compliance and address any potential hazards before they escalate.
- Stakeholder Reporting: The classification function can assist in creating visual reports for stakeholders by generating comparative images of before and after constructions. This enhances transparency and provides stakeholders with a clear understanding of progress without requiring detailed explanations.
- Automated Inspection Scheduling: By leveraging this function, construction managers can schedule inspections based on specific construction status identification. When the status reflects completion of certain phases, it triggers automated notifications for upcoming inspections, optimizing workflow and resource allocation.
- Budget Allocation Insights: The status identifier can be used to monitor real-time construction progress to inform financial decision-making. By assessing whether projects are on track, managers can adjust budget allocations, avoid over-expenditure, and ensure resources are directed appropriately.
- Predictive Maintenance Planning: The function aids in identifying when certain construction elements require maintenance by analyzing images on-site. By classifying the construction status, it allows teams to anticipate potential issues, schedule repairs proactively, and minimize downtime in project execution.