Bonduelle, a leader in the agri-food sector, sought to improve its process for verifying the compliance of canned goods.

Our Mission:

We created an Artificial Intelligence (AI) system to automate this crucial process.

Challenges:

1. Food Safety: The goal was to ensure product compliance to guarantee food safety.
2. Operational Efficiency: Need to speed up and automate the verification process while maintaining high standards.

Solution:

We developed an AI system that uses computer vision to examine canned goods. It incorporates machine learning models to detect anomalies and ensure compliance.

Implementation:

1. Visual Analysis: Utilized computer vision to visually inspect each can.
2. Anomaly Detection: Machine learning algorithms capable of identifying defects or non-compliances.
3. Automatic Reporting: Generated real-time automatic reports for immediate response to potential issues.

Results:

1. Improved Safety: Reduced the risk of non-compliance by 40%, enhancing food safety.
2. Operational Efficiency: Accelerated the verification process by 50%, freeing up resources for other tasks.
3. Cost Reduction: Saved 30% on manual verification costs, improving profitability.