Food

ProSensus worked with Mondelez, a global food manufacturer, to establish specifications on new incoming raw material lots to avoid accepting lots that pose a high risk on the final product quality.

ProSensus continues to assist leading manufacturers achieve higher quality standards by complimenting existing intermittent laboratory measurements with real-time, color and thermal camera-based quality inspection systems.

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.