Final product recipes usually involve a combination of many raw materials from various suppliers. Therefore, setting specifications on each of these incoming materials separately is an unreliable metric since the final quality is affected by the simultaneous combination of all raw materials and their properties. ProSensus worked with Mondelez, a global food manufacturer, to establish [...]
Camera-based systems are rapidly becoming the new standard in state-of-the-art process monitoring. Such advanced vision systems enable manufacturers to stay competitive in their field while coping with the tight quality assurance limits. ProSensus has recently worked with a global food manufacturer and developed a customized camera system to monitor specific quality attributes of their final [...]
A multivariate machine vision system was implemented for feedback control of seasoning snack foods, and achieved a 50% reduction in seasoning content error.
PepsiCo Foods wanted to investigate a specific quality attribute across 26 flavours of muffins and reformulate according to the results. ProSensus determined which were the key ingredients and designed a platform for designing and evaluating new muffin formulas.
By implementing ProSensus’ ProBatch Control technology, a leading snack food producer reduced the standard deviation on their product quality 50% and also significantly increased process capacity.
Textural properties of snack foods are essential to customer satisfaction but they are very difficult to measure on-line. Multivariate modelling of acoustical sensor data can be used to predict these important properties in real-time at low cost.
