PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection
Hyperspectral imaging captures material-specific spectral data, making it effective for detecting contaminants in food that are challenging to identify using conventional methods. In the food industry, the occurrence of unknown contaminants is problematic due to the difficulty in obtaining training...
        Saved in:
      
    
          | Main Authors: | , , , , | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | IEEE
    
        2024-01-01 | 
| Series: | IEEE Access | 
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10763473/ | 
| Tags: | Add Tag 
      No Tags, Be the first to tag this record!
   | 
Be the first to leave a comment!
 
       