V.RDP.2016 - MEXA Assisted Offal Sortation Technical - Phase 1 Part 1
Sliced salami was selected for hyperspectral camera imaging as it is a good example of mixed fat and lean (offal) content. Regions on the slice of salami were colour-coded due to their spectral content.
| Project start date: | 30 April 2019 |
| Project end date: | 30 August 2020 |
| Publication date: | 30 April 2024 |
| Project status: | Completed |
| Livestock species: | Grain-fed Cattle, Grass-fed Cattle, Sheep, Goat, Lamb |
| Relevant regions: | National |
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Summary
The project is a scoping study to determine whether a multi-sensor system, combined with hyperspectral and colour imaging cameras, can be used to identify defects and abnormalities during screening of red and green offals. The value proposition is productivity and efficacy of machine assisted offal health inspection and reporting.
Objectives
The program will deliver against two key objectives:
Objective 1: Utilising the Rapiscan 6040DV-ME dual-view MEXA system to screen offals for agreed defects and abnormalities.
Objective 2: Develop an addition to the Rapiscan 6040DV-ME dual-view MEXA system to include hyperspectral and colour-imaging in addition to X-Ray to screen offals for agreed defects and abnormalities.
Key findings
The work conducted during this project and the results achieved determined that a multi-sensor system, combined with hyperspectral and colour-imaging cameras, should be able to identify defects and abnormalities during screening of red and green offals at speeds consistent with industry processing operations.
Benefits to industry
This technology allows for defects and abnormalities to be detected during the screening of red and green offals at speeds consistent with industry processing operations.
MLA action
Part two of this project (V.RDP.2018) was conducted to determine whether a multi-sensor system, multiple energy x-ray combined with hyperspectral and colour-imaging cameras, can be used to identify defects and abnormalities during screening of red and green offals.
Future research
The positive result at the end of this project has led to a Stage 2 project where a prototype machine is developed for plant demonstrated offal inspection.
At the conclusion of the project, the Rapiscan systems 6040DV-ME X-ray scanner was ready to be shipped to the University of Sydney Camden campus to screen offals to:
- develop image fusion and classification algorithms for the offal abnormalities and defects
- define histopathological abnormalities and defects in offals: type, location and size
- capture images of a range of histopathological abnormalities and defects in offals from the multi-sensor system.
These tasks will be carried out in the stage 2 of this project. See V.RDP.2018 (Phase 1 Part 2).
More information
| Project manager: | Christian Ruberg |
| Contact email: | reports@mla.com.au |
| Primary researcher: | Rapiscan Systems Pty Ltd |
