- AI MARKET
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- Manufacture
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- Defect Prediction
Defect Prediction
Quick StartCustom AI
It is very important to measure the number of product defects produced by a manufacturer because it is directly related to the profits of the company. The traditional method of identifying defective products is to identify defective products manually by humans, which is expensive because it is highly prone to human error and requires relying on a large number of people.
Using deep learning technology through data such as pressure, speed, and temperature that may affect product quality, you can quickly and accurately predict product defects. Predicting the quality of the product can not only reduce costs but also optimize the company's profits.
Main function
1. Defect Prediction
- Cost reduction through prediction of defective products
- Determine the cause of defective products
2. Data Security System
- Thorough data security through security processing
3. Providing various services
- Interlocking between apps, web and programs is possible by providing various programming languages
API Summary
| Data | Data type | Content | Use mode |
|---|---|---|---|
| Input data | CSV | Manufacturing process information (environmental pressure, speed, temperature, cause of defective products) | API |
| Output data | CSV | Defective product prediction | API |
Application procedure
| Payment | Subscription method | Attached file upon application |
|---|---|---|
| Prepaid charge | Online | Customer data required for model creation |
| Application procedure |
|---|
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Pricing
| Category | Price |
|---|---|
| API Setting | $1,800 ~ |
| API Predicting | $0.002/row |