AI-based Visual Quality Control for Bulk and Packaged Agrifood Products

BCNVision is a technology company specialized in industrial computer vision and artificial intelligence for automated quality inspection in production environments. Our solutions combine advanced imaging technologies, deep learning and real-time processing to detect defects, classify products and ensure compliance with quality standards.

In the agrifood sector, our systems can be applied to both bulk products (grains, fruits, vegetables, seeds or processed ingredients) and packaged products such as bottles, cans and containers used in beverage and food production lines.

Our AI-based inspection solutions can perform:

• Automatic defect detection in bulk products (foreign bodies, contamination, shape defects, colour deviations).

• Quality grading and classification using deep learning models trained on product datasets.

• Inspection of bottled and canned products, including fill level verification, cap or lid presence, label verification, seal integrity and packaging defects.

• Traceability and production analytics, enabling continuous monitoring of product quality and process performance.

• High-speed inline inspection integrated directly into existing industrial production lines.

The solution integrates industrial cameras, lighting systems and AI models deployed on edge computing hardware, enabling real-time inspection without interrupting production. The system can also generate production statistics and quality reports that support process optimization.

Through this open call, BCNVision is looking for agrifood partners such as producers, processors or packaging companies interested in piloting and validating AI-based visual inspection technologies in real production environments. The goal is to co-develop and demonstrate advanced quality control solutions that improve product consistency, reduce waste and increase automation in agrifood production systems.