Artificial vision for food safety through image analysis
This solution employs artificial vision to analyze visual characteristics of food products, ensuring quality and safety. By training models on labeled data sets, it detects discrepancies in food quality, offering a reliable method for quality assurance in the food industry.
Overview
This solution leverages artificial vision technology to ensure food safety by analyzing the visual characteristics of food products. The system is designed to identify unique visual markers that differentiate high-quality food items from those that are unsuitable for consumption. This innovative approach provides a reliable method for quality assurance within the food industry, enhancing consumer safety and reducing waste by accurately identifying substandard products.
Technical specifications
- Visual characteristic identification: The system identifies key visual features indicative of food quality.
- Algorithm adaptation: Uses Python to adapt detection algorithms specifically for food quality assessment.
- Model training: Utilizes a labeled dataset of food images to train the model, teaching it to distinguish between different quality levels.
- Performance evaluation: The model's accuracy is tested with a separate dataset, ensuring its ability to generalize and make accurate predictions on new images.
- Optimization: Continuous model adjustment and optimization based on test results to improve performance.
Technology readiness level
The technology is currently at TRL 4, indicating that it has been validated in a laboratory environment with plans for further refinement and testing in real-world scenarios.
About Centro de Innovación Aplicada en Tecnologías Competitivas
CIATEC is a federal public research center based in León, Mexico, dedicated to applied innovation and industry services as part of the country’s public research center network. Its industry‑facing infrastructure includes ISO/IEC 17025–accredited testing and metrology laboratories, an Industry 4.0 digital manufacturing lab, biomechanics and materials evaluation facilities, and dedicated prototyping and workforce‑upskilling programs. Situated within León’s leather‑footwear hub and a dynamic regional manufacturing base, CIATEC delivers contract R&D, certification‑grade testing, and process‑improvement services aligned to supplier needs and production timelines. Research and service activities are backed by Mexico’s national science council and competitive federal funding, complemented by industry‑sponsored projects. A technology transfer function streamlines IP, licensing, and service agreements for corporate partners.
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