Feasible automation for food processing
Schouten Europe is exploring how Vision/AI and Bin Picking can contribute to a more efficient production process. The goal is to develop a standardized methodology that allows food companies to assess the feasibility of automation. This research focuses on both the technical possibilities and the implementation strategy within the sector.
Broad knowledge question
When is automation a smart choice?
How can technology, including AI, contribute to innovation within an organization? This project explores not only the technical feasibility and investments but also the impact on employee engagement and knowledge retention. A standardized approach helps companies make the right decisions.
Approach
From test setup to a widely applicable approach
A concrete Bin Picking application was tested to automatically segment and grasp products such as vegan burgers, schnitzels, and tenders. At the same time, an approach was developed that is applicable beyond just this specific case. By systematically mapping out steps and considerations, the feasibility of automation projects can be better assessed.
Goal
A standardized method for food processors
The goal is to develop a practical and widely applicable Plan of Approach (PvA). This PvA helps food processors determine whether Bin Picking and Vision/AI are suitable and feasible within their production process. It provides insight into the steps, risks, and impact of automation.
Results and reflection
From pilot to actionable guidelines
Based on the pilot, a standardized Plan of Approach (PvA) has been developed, supplemented with specific technical insights from the Bin Picking case. This PvA is applicable to multiple food processors with similar automation challenges and helps them make informed decisions.
Successful:
The PvA provides a structured approach that allows companies to easily assess the feasibility of Bin Picking.
The pilot confirmed that the technology is suitable for segmenting and grasping various vegan products.
The methodology is applicable to other food processors facing similar challenges.
Lessons learned:
In addition to technical feasibility, involving employees is crucial for successful implementation.
The diversity in product forms and textures requires further optimization of the gripping technology.
A standardized approach helps, but customization remains necessary for each production line.