In food, quality is safety. Artificial vision in the food industry allows you to inspect 100 % of production, detect defects and foreign bodies and guarantee labelling, all at line speed. Let’s look at how food quality control is applied and how it helps automate a food line.
Why food needs artificial vision
It’s a high-throughput sector with great natural product variability and safety and hygiene requirements regulated by food safety rules. Manual control doesn’t cover 100 % or keep a constant criterion; artificial vision does.
What artificial vision inspects in food
- Product defects: shape, colour, size, burns, foreign bodies.
- Correct packaging and sealing.
- Labelling and coding (batch and expiry) legible and correct.
- Fill level and presence of all components.
Deep learning for natural variability
Food varies naturally, which makes fixed rules hard. Deep learning models learn to tell acceptable from defective from examples, ideal for bread, fruit, canned goods or fresh products.
How to automate a food production line
The path: identify the critical quality point, define what the system must detect and integrate vision with the line and the reject system, without re-engineering the mechanics. It’s a natural step in automated inspection.
At AIS Vision Systems we automate food quality control with deep learning and our inspection platform. Tell us about your line.