Challenge

Quality control and potato sample weighing are performed manually. Manual assessment is subjective, slow, and does not allow accumulating batch quality data for analytics and supplier management.

  • Subjective visual assessment depends on the operator
  • No systematic batch quality data recording
  • Cannot track quality dynamics by supplier
  • Manual weighing is slow and error-prone

Solution

Automated system with precision scales and industrial camera. The computing module processes the batch image, neural network assesses visual parameters (size, defects, contamination). Data is recorded automatically and available in an analytics interface.

  • Precision scales with interface for automatic data transfer
  • Industrial camera on computing platform
  • Neural network assessment: tuber size, defects, contamination, greening
  • Automatic batch result recording
  • Analytics interface with supplier history and trends

Key Advantages

🎯

Objective assessment

AI replaces subjective operator judgment with standardized criteria.

πŸ“Š

Supplier analytics

Quality history per supplier β€” tool for negotiations and selection.

⚑

Assessment speed

Batch processing takes seconds vs. minutes for manual evaluation.

πŸ”Œ

Minimal integration

Standalone station without complex production line integration.

Technologies

  • Industrial computing module (CV)
  • High-resolution industrial camera
  • Precision scales with digital interface
  • Neural network quality assessment models
  • Web analytics interface
  • Optional modem for cloud data transmission

Need a similar solution?

Tell us about your challenge β€” we will design a solution for your requirements

Contact Us β†’
← All Solutions