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Machine vision is one of the most groundbreaking advancements in the industrial application of artificial intelligence. It refers to the infrastructure that lets machines “see” what is happening in production lines and make swift decisions based on the visual data. Machine vision is used in automated monitoring and inspection of food and beverage products to ensure quality and reduce wastage, ensuring safety standards are maintained.
High-level inspection is vital in food and beverage production. Contaminated items that make it to store shelves can cause widespread illnesses and destroy a manufacturer’s reputation, leading to massive losses and legal action in some cases. Modern production involves large-scale production to meet the ever-growing demand for food and beverages caused by drastic population growth in the last century. Artificial intelligence through machine vision has become necessary to quickly detect anomalies and contamination in the production line.
Machine vision ensures food and beverages are produced safely in the following ways:
Safety Inspection
Machine vision systems ensure safety using intelligent high, precision cameras (like these Optical Sorting Machines by IVS) to flag defects in food production. These cameras can move rapidly between several production stages to identify breaks and leaks faster and more accurately than human eyes could ever do. Machine vision processes data in seconds and contaminated products can be identified and removed rapidly.
Tracing and Tracking
Food production is a highly complex system as problems could have catastrophic effects. With machine vision, raw foods can be tracked throughout the production process so that if contamination is detected at one stage, it is possible to trace the origin. This is important to identify the primary source of contaminants which can then be addressed at their source. This method of tracking enabled by machine vision is crucial throughout the production process and is compliant with health and safety standards.
Packaging and Labeling
Machine vision computers and cameras can read and analyze labels in real-time to detect mislabeling of packaged food and beverages. They can “see” mislabeled or misprinted labels and alert workers swiftly. Mislabeled food products can cause severe allergic reactions and food poisoning on a mass scale if not detected and corrected early. Additionally, machine vision systems can inspect the quality of packaging to ensure the structural integrity of every package from the factory to distribution stores and retail outlets.
Applications of Machine Vision In Modern Food and Beverage Production
Some of the applications of machine vision in food production include:
- Inspection of aluminium trays
- Inspection of baked products
- Inspection of seals
- Inspection of cans
- Analysis of food colour properties
- Detection of cap tilting
- Verifying bottle fill levels
Conclusion
Machine vision is gradually becoming a vital component of modern food and beverage manufacturing. With artificial intelligence, machines can participate in manufacturing as intelligent systems that work alongside humans to ensure only high-quality non-contaminated food makes its way to your table. As the field of artificial intelligence makes more breakthroughs, food production in the future will be virtually flawless.
