In the production of breaded poultry, there are numerous variables that can affect consistency and quality.
It is possible to quickly identify and respond to production issues with the help of KPM Analytics' Sightline Vision Inspection Systems and measura® real-time inspection software to monitor key attributes of the product based on user-defined specification limits.
Additional Data
- Average color
- Weight predicted
- Foreign objects
- Slope analysis
- Bun coverage %
Image Credit: KPM Analytics
Adaptive Measurements for Curved Pieces
Overhang Data
- Length and maximum length
- Total area
- Individual area
Table 1. Height 3D Analysis. Source: KPM Analytics
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| Min, Max, Avg, Thickness |
The lowest, highest, average and filtered height of the object when resting on a flat surface; calculated by taking the average of the ‘N’ highest points measured on the top surface (N is user-configurable). |
| Adaptive Thickness |
The highest region of the object analyzed using customized filters to ignore high or low spots in order to calculate the most representative and meaningful thickness value of the object. |
| Volume & Weight |
The calculated volume of the object as determined by the surface area and mean height. Can be used with average density entered into the system to derive predicted weight. |
3D Geometry Analysis. Image Credit: KPM Analytics
The imaging technology from the Sightline vision system can measure virtually any food product, either directly during the process of production (Over-Line In-Line) or with a Benchtop Inspection System (Off-Line).
Some of the measurements available for breaded poultry are listed below.
Table 2. Overhead 2D Analysis. Source: KPM Analytics
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| Bounding L & W |
The length and width of the object as measured by enclosing the object in the smallest possible rectangle (“Bounding Box”) |
| Center L & W |
The length and width of the object as measured down the central axis of the Bounding Box. |
| Min, Max, Avg L & W |
The minimum, maximum and average lengths/widths parallel to the center length/width. |
| Adaptive L & W |
The length of the object as measured following the curvature of the long axis and the largest width of the object as measured perpendicular to this curve. |
| Surface Area |
The total surface area of the object (mm2 or in2). |
| Breading Void Area % |
The area of the object that is not covered in breading/coating. |
| Product Color |
The average color of the product across the surface area. |
| Overhang Data |
The maximum length or area that an object would overhang a reference object (i.e. a bun). |
| Coverage Deficiency |
The percentage of coverage of the object when overlaid on top of a reference object (i.e. bun). |
Bounding box and adaptive measurements. Image Credit: KPM Analytics
Detailed Slope Analysis. Image Credit: KPM Analytics
Breading Void Analysis. Image Credit: KPM Analytics
This information has been sourced, reviewed and adapted from materials provided by KPM Analytics.
For more information on this source, please visit KPM Analytics.