Bread

With SENSURE SYNAPSE, it is possible to measure numerous product parameters and attributes on breads (baguettes, bread loaves, focacce, etc.) - such as shape, size, color, thickness, volume, and more - across both top and bottom surfaces. This is achieved using a range of technologies, such as line-scan or area cameras and laser profilometers.

Vision systems can be installed at different points along the production line (e.g. after forming, proofing, baking, cooling, etc.) and can also be integrated into existing production lines.

Additionally, a rejection mechanism for non-conforming products can be implemented. The choice of system (e.g., air nozzles, traps, retractable belts, robots, etc.) depends on several factors, including line speed and throughput, as well as product size and distribution.

Defect detection capabilities

Upper Surface analysis

  • Product color - Average color (excluding or not toppings), and edge/contour defects. Values can also be provided in L*a*b and BCU
  • Spots - Area calculation for white spots (i.e. blotchies, etc.), dark spots (i.e. blisters), and foreign bodies (identification is possible if the dimension and color differences of the inclusions are detectable in the camera)
  • Surface Area - Overall area calculation (to identify double/triple or broken products, etc.), cracks and holes detection
  • Topping/Seeding conformity - Percentage of the surface coverage, distribution (i.e. seed voids, etc.), and color
  • Shape/Size - Min/Max/Average diameter, Min/Max axis, roundness, perimeter

 

 Bottom Surface analysis

  • Product color - Average color (excluding or not any anomalies like spots, etc). Values can also be provided in L*a*b and BCU
  • White edges - Area calculation of the under-baked edges on the outer ring
  • Spots - Area calculation for white (i.e. blotchies, flour, etc.), dark spots (burnt areas, etc.), and foreign bodies (identification is possible if the dimension and color differences of the inclusions are detectable in the camera)

 

Three-dimensional analysis

  • Slope - Curvature of the top surface of the products (Measured by calculating the dierence in height between the center of the product and a user-defined ring near the product's edge), flatness, and planarity
  • Height - Min/Max peaks, average height, etc.
  • Volume