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A strong Synapse to AI baking Innovation in Artificial Intelligence algorithms can be applied to baking processes for improved results. AI’s ability to learn and auto-learn makes it particularly resourceful to increase process efficiency and seamlessly handle a great variety of products by identifying the sets of features to be controlled.
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Quality control is one of the areas in which Artificial Intelligence can make a difference in bakeries. It can contribute to greatly improving product quality and productivity: such smart vision inspection systems are flexible enough to be able to adapt to changes that occur during production. Moreover, the algorithm ensures that every single product is inspected, with no exceptions. It has the ability to do this for production speeds of up to 12,000 products per minute, then generate data and reports. To achieve this, multiple measurements are made simultaneously, while the line is operating at full speed. Non-compliant products are at the same time removed.
“We have developed more than 50 quality control features for shape, size, color, surface patterns and other parameters – and we can always develop new ones if needed. ” Daniele Vaglietti, Sales and Marketing, SENSURE
SENSURE designs AI-powered vision systems for industrial quality control, particularly focusing on bakery products – to identify and remove non-compliant products and to manage their flow as they exit the oven and reach the packaging machinery. Its SENSURE Synapse Bakery Solution does just that.
Synapse with AI AI makes up the core of the system, for the Synapse Bakery and all other SENSURE solutions, and enables it to perform various functions such as the automatic selection of the characteristics to be controlled in the products, and the
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optimization of the tolerances of the controlled measurements. AI also automatically creates simple pre-configurations of the system, which is “a very useful and effective starting point,” Daniele Vaglietti, Sales and Marketing at SENSURE tells us. “Thanks to these innovative AI algorithms, it is the system itself that identifies the characteristics to be controlled, by automatically adapting to different types of production and its intrinsic variability,” he explains. Synapse Bakery can be used to continuously improve production. It provides the tools to understand where and when production is stable, according to specifications, and it can also tell what/when a problem occurs. It can also be integrated with third-party systems such as ovens, packaging machines, metal detectors, checkweighers, moisture analyzers, and other types of equipment, resulting in fully integrated production lines. It can exchange input/output data with many communication systems, management solutions, company networks and line PLCs. “This feature makes the system perfect for accepting configurations and settings from the line, generating data for feedback systems and for constantly monitoring what is happening in production. For these reasons, Synapse Bakery is a perfect match for the requirements of Industry 4.0.,” he highlights. Having a continuous stream of accurate data about the product readily available is useful for process improvement efforts related to the productivity of the line as well as its efficiency. Vaglietti illustrates: “The system collects and stores the data of the entire production in a SQL database, from the reject features of a single defect to all the characteristics of the good products.”
