Make Your Manufacturing Lines Smarter!

NEWS / 30 August 2023

SENSURE offers online vision inspection systems with artificial intelligence (AI), demonstrating a strong capability to extract value through the collection of accurate, reliable, and repeatable product data. The SENSURE portfolio encompasses a variety of vision technologies and software solutions designed to continuously detect, analyze, improve, and maintain quality and process standards.



Smart Bakery and Confectionery Processing

The insights delivered by vision inspection systems are the cornerstone for gaining a comprehensive understanding of what is happening on the production line, enabling bakery and confectionery teams to make data-driven decisions quickly.
These advanced technologies facilitate real-time examination of crucial products parameters. This can be done directly on a touchscreen display or through dashboards placed at various points along the production line. These dashboards oversee stages such as forming, proofing, baking, and more, as well as inspect finished products just before they reach the automated packaging stage. Additionally, there are features designed to automatically alert line operators and supervisors for immediate intervention if the process drifts out of control.
Furthermore, the statistical analysis of data collected by these systems and stored in SQL database plays a crucial role in assisting operators in identifying the root causes of process inefficiencies. This collected data can also be linked to process and packaging machinery, enabling proactive maintenance of process performance at the desired level. It can also be seamlessly integrated with SCADA supervisory and MES systems to provide essential information to key personnel.

Watch an interesting video on how SENSURE can make your manufacturing lines smarter with the use of data analytics (click here)


Main product parameters measurable with SENSURE vision systems:

  • Shape and Size (min/max/average diameter, perimeter, length, width, roundness, area, etc.)
  • Compactness
  • Colour on top (bake colour, spot detection, etc.) and/or bottom (bake colour, burnt areas, flour marks, spot detection, foreign colour anomalies in general)
  • Topping and seeding conformity (quantity, distribution, and colour)
  • Texture analysis
  • Edge/Contour defects
  • Cracks and holes and their conformity
  • Foreign body detection (identification is possible if the dimension and colour differences of the inclusions are detectable in the camera)
  • Height/Thickness (min/max/average height/thickness)
  • Volume and slope/symmetry
  • Flatness and planarity
  • Temperature