Each investment starts with an idea – and if you're a processor or service provider we’d love for you to share yours by talking to our R&D managers.
Step 1 – initial idea
Step 2 – formal proposal
We promote strong processor participation in our R&D activities and expressions of interest will be distributed to industry members.
AMPC has partnered with Leading Edge Only (LEO) to facilitate collaboration with new and existing providers from around the world on future research and development projects for the Australian red meat processing industry.
AMPC will be seeking innovative proposals for a range of tenders which are known as ‘challenges’ on the platform.
Valorising wastes streams in red meat processing
The Challenge
Saline waste streams present significant environmental and operational challenges within the red meat processing industry. Two key sources of saline waste are:
These two waste streams are not only difficult to dispose of, but also pose challenges and risk to compliance.
Proposals
AMPC is seeking innovative, scalable, and cost-effective solutions that could:
AMPC is seeking solutions that:
Read more about this challenge and submit your proposal through the LEO platform here: https://www.leadingedgeonly.com/organisation/australian-meat-processor-corporation/valorising-saline-waste-streams-in-red-meat-processing
Revolutionising workplace safety through intelligent task monitoring
The Challenge
High-risk, high-speed industrial environments—such as those in processing and manufacturing—can present serious safety challenges. When standard procedures are not followed or unsafe actions occur, the consequences may include injuries, equipment damage, unplanned downtime, and increased operational costs.
Current safety oversight methods rely heavily on human supervision, which often delays the identification and correction of unsafe behaviours. Without real-time insight, risks can go unnoticed until after an incident has occurred.
Proposals
AMPC is seeking smart scanning systems capable of detecting incorrect or unsafe task execution in real time. These systems may use AI, computer vision, sensors, or wearable technology to continuously monitor task performance and identify safety breaches or near misses.
This challenge is seeking innovative solutions that use AI, computer vision, and smart sensing technologies to:
Solutions must be robust enough to function in real-world processing conditions, including environments with variable lighting, condensation, PPE visibility, and fast-paced movement.
Read more about this challenge and submit your proposal through the LEO platform here:
https://www.leadingedgeonly.com/organisation/australian-meat-processor-corporation/smart-safety-the-real-time-risk-detection-challenge