Following the successful design and development of the user interface for the digital sorting platform “VERYX”, Ergosign has now been entrusted with creating the design concept for the new digital sorting platform “COMPASS”. The machine, which uses AI-powered image recognition to detect defective or substandard food items along with foreign objects, aims to stand out with its exceptional usability and perceived operational simplicity.
New design concept for optimal usability
Efficient and consistent design simplifies the human-machine communication
BriefBetter usability through efficient design
The project's goal was to develop a detailed and validated design concept for COMPASS. The new machine seeks to replicate the success of the higher-priced VERYX models within the mid-price segment. These machines are known for their low maintenance requirements and increased processing capacities. The human-machine interaction of the highly complex machine needed to be simplified.
ApproachExtensive research and prototyping
The project began with a comprehensive research phase, during which we identified user needs and requirements. We carefully analyzed the daily work routine and the complexity of interacting with the machine. The insights from this phase served as the basis for vivid artifacts such as personas and scenarios. The developed concept was initially translated into interactive and visually detailed prototypes in Figma. This component-based design facilitated efficient coordination and enabled the swift identification of strengths and weaknesses of the concept. Direct communication channels and collaboration tools such as Miro allowed immediate exchange and feedback.
OutcomeIntuitive and user-friendly UI
The "COMPASS" design language builds upon the existing UI components and visual design of VERYX. The primary focus of the new design was to visually simplify the user interface, focusing on faster and easier access to machine operation for new and inexperienced users. Introducing an efficient, consistent, and easy-to-learn design language was our way of achieving this goal. Existing components were revised and optimized based on insights from contextual analysis. For example, new machine users are now guided step-by-step through the interface and application.
OutcomeHappy users thanks to a new operating concept
Remote validations confirmed that the new operating concept effectively addressed the major challenges faced by users: the machine's complex operation and the previous lack of transparency in processes like color teaching for machine learning to detect foreign objects. Overall, the new operating concept received positive feedback, being recognized as a significant improvement over the existing system.
About the clientKey Technology
Key Technology is a global leader in food processing technology, continually striving to meet the growing needs of its customers. As a manufacturer of machines for conveying, processing, and sorting primarily food products, Key machines are utilized by 80% of the world's top 20 food processing companies. With over 70 years of experience as a supplier of food processing machinery, Key Technology serves dozens of industries, including fruits, vegetables, nuts, potatoes, confectionery, snacks, and more.
Stephan Westcott, Senior Manager, Engineering, Key Technology
"The presentation and prototypes feature impressive visuals. Figma proved to be an excellent tool for gathering user feedback, achieving a strong final design, and delivering an outstanding overall result."