Challenge: In-line imaging technologies for ice cream quality monitoring
In-line imaging technologies for ice cream quality monitoring
About
General Mills is an American multinational and a global leader in food manufacturing and consumer packaged goods, with a strong focus on product quality, nutrition, and supply chain sustainability.
The Challenge
The challenge seeks in-line imaging technologies to support quality control and shelf-life prediction in ice cream manufacturing. It aims to explore:
- Systems that capture high-resolution raw data (e.g., hyperspectral, thermal, RGB, NIR)
- Instruments that function reliably in variable manufacturing conditions
- Clear rationale for how imaging data can inform texture, ingredient distribution, signs of instability, and overall product consistency
The goal is to provide real-time imaging data for computer vision and predictive analytics, improving diagnostics, reducing waste, and ensuring consistent product quality.
Reward
Successful applicants may receive access to General Mills’ ice cream industry experts, relevant company data, and R&D and production facilities. Sponsored research may also be considered depending on the technology, with the possibility of a long-term partnership.
Timeframe
- Deadline for Submitting Proposals: July 31
Who can apply
- Applicants with TRL 5-9 solutions
How to apply
Application through HALO Platform.
Find here all the details and the submission page
The SPIN4EIC consortium is not responsible for the challenges launched by private or public buyers. Each participating entity is solely responsible for its own challenge, including the selection process, communication with applicants, and all information provided to participants.
About
General Mills is an American multinational and a global leader in food manufacturing and consumer packaged goods, with a strong focus on product quality, nutrition, and supply chain sustainability.
The Challenge
The challenge seeks in-line imaging technologies to support quality control and shelf-life prediction in ice cream manufacturing. It aims to explore:
- Systems that capture high-resolution raw data (e.g., hyperspectral, thermal, RGB, NIR)
- Instruments that function reliably in variable manufacturing conditions
- Clear rationale for how imaging data can inform texture, ingredient distribution, signs of instability, and overall product consistency
The goal is to provide real-time imaging data for computer vision and predictive analytics, improving diagnostics, reducing waste, and ensuring consistent product quality.
Reward
Successful applicants may receive access to General Mills’ ice cream industry experts, relevant company data, and R&D and production facilities. Sponsored research may also be considered depending on the technology, with the possibility of a long-term partnership.
Timeframe
- Deadline for Submitting Proposals: July 31
Who can apply
- Applicants with TRL 5-9 solutions
How to apply
Application through HALO Platform.
Find here all the details and the submission page
The SPIN4EIC consortium is not responsible for the challenges launched by private or public buyers. Each participating entity is solely responsible for its own challenge, including the selection process, communication with applicants, and all information provided to participants.