Rapiscan RTT-110 system upgrade accuracy validation
Did you know that airport security baggage scanner technology is being tested for red meat industry applications?
| Publication date: | 29 June 2022 |
| Project status: | Completed |
| Livestock species: | Grain-fed Cattle, Grass-fed Cattle, Sheep, Goat, Lamb |
| Relevant regions: | Southern Australia, Northern Australia, National, NSW, Western Australia, Victoria, South Australia, Queensland, Northern Territory, Tasmania, Eastern Australia |
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Summary
This project assessed the ability of the Rapiscan RTT-110 CT scanner to differentiate tissue types and determine fat%, lean% and bone% in lamb carcases, beef rib-sets, and beef shortloins. Image resolution and capacity to estimate dimensions were also tested.
1. The Rapiscan RTT-110 demonstrated excellent capacity to differentiate bone from soft tissues in lamb and beef.
2. The Rapiscan RTT-110 demonstrated limited capacity to differentiate fat from lean tissue.
3. Image resolution and ability to measure in a scaled and highly repeatable fashion demonstrated the capacity of this device to provide imagery suitable for automation.
Benefits to industry
The development of novel X-ray technologies provides many opportunities to improve the efficiency of red meat production and processing. Medical computed tomography (CT) is now considered the gold standard imaging method for assessing and quantifying different tissue types in lamb and beef carcasses, and provide a complete 3-D virtual dissection of carcasses or carcass components. However, the slow speed and expense of medical CT scanning prevents its commercial use. A-ray technologies developed for continuous high speed commercial applications provide significant opportunities to improve red meat grading and processing.
MLA action
MLA is supporting further R&D to validate the RTT-110 x-ray technology to provide sensing required for the beef boning automation program.
Future research
The Rapiscan RTT-110 x-ray technology will undergo further testing to validate its capacity to guide robots for the beef boning automation program.
More information
| Project manager: | Richard Apps |
| Contact email: | reports@mla.com.au |
