Identify industrial texture
using AI
Below is a free classifier to identify industrial texture. Just upload your image, and our AI will predict what type of industrial texture it represents - 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("industrial-texture-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/industrial-texture-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/industrial-texture-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of industrial texture it represents.
This pretrained image model uses a Nyckel-created dataset and has 31 labels, including Brushed Aluminum, Burlap Texture, Chequered Plate, Coarse Mesh, Concrete Surface, Corrugated Metal, Diamond Plate, Embossed Vinyl, Expanded Metal and Fabric Weave.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of industrial texture it represents).
Whether you're just curious or building industrial texture detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify industrial texture at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Manufacturing: The industrial texture identifier can be utilized in manufacturing plants to automate quality control processes. By classifying textures of materials and products, it can detect defects or irregularities in surfaces, ensuring that only items meeting quality standards proceed in the production line.
- Material Selection for Design: Designers and engineers can leverage the texture classification function to efficiently select appropriate materials for their projects. By identifying and categorizing textures, they can better match materials with aesthetic and functional requirements for various industrial applications.
- Predictive Maintenance: In industries where machinery or equipment rely on specific textures for optimal operation, the texture identifier can help predict maintenance needs. By monitoring and analyzing surface textures, it can identify wear or degradation, prompting maintenance before equipment failure occurs.
- Inventory Management: Companies can implement the industrial texture identifier in their inventory systems to improve accuracy in stock management. By classifying and cataloging the textures of materials in warehouses, businesses can streamline inventory tracking and reduce discrepancies.
- Automated Sorting in Recycling: The texture classification function can enhance recycling processes by automating the sorting of materials. By identifying the textures of various recyclable items, it can improve the efficiency of material separation, leading to higher recycling rates and better resource recovery.
- Custom Product Development: When creating custom products, manufacturers can use the texture identifier to explore new texture options. This feature allows for innovation in product design by analyzing existing textures and identifying new combinations or applications, catering to diverse consumer preferences.
- Compliance and Safety Auditing: The industrial texture identifier can play a crucial role in compliance and safety evaluations. By providing texture analysis reports, companies can ensure that their products meet industry standards and safety regulations, minimizing risks related to surface quality and performance.