Method and device for optimising a baking process
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Solution Overview
Problem
Commercial baking facilities face challenges in optimizing the baking process due to the need for skilled staff to correctly allocate and manage baking trays, especially in environments where staff lack specialized knowledge, leading to inefficiencies and potential misallocations.
Innovation Solution
A method and device that utilize a digitally controlled display device to show target occupancy plans, combined with an image recording system to compare actual versus target allocations, and adjust the process accordingly, including the use of AI for optimizing baking parameters and staff guidance through alarms or visual cues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If staff are trained to correctly load baking trays according to occupancy plans, then baking process quality improves, but training time and operational complexity increase
Solution Approach 1:
The patent replaces manual visual interpretation of occupancy plans with an automated image recognition system using cameras and AI algorithms. The system automatically captures images of baking trays, identifies dough pieces and their positions, compares them with target occupancy data, and provides feedback - eliminating the need for staff to manually interpret complex loading charts and reducing training requirements.
Solution Approach 2:
The system enables self-service by allowing the occupancy plan display and verification functions to automatically adapt to different users and scenarios. The display device automatically adjusts its content based on the detected baking tray configuration and target occupancy, eliminating the need for staff to manually configure or interpret static occupancy charts.
2Loss of information
If occupancy plans are displayed as static charts, then staff can reference loading instructions, but staff still require experience and skills to correctly implement the plans
Solution Approach 1:
The patent implements a closed-loop feedback system where the image capture device continuously monitors the actual baking tray occupancy, compares it with the target occupancy data, and provides real-time visual feedback through the display device. This feedback mechanism guides staff to correct any loading errors immediately, ensuring high implementation accuracy without requiring extensive staff experience.
Solution Approach 2:
The system replaces manual interpretation and implementation of static occupancy charts with automated image recognition and digital display technology. The computer vision system automatically verifies loading accuracy, eliminating the reliance on staff expertise and experience while maintaining complete information accessibility.
3Manufacturing precision
If digitally controlled display devices are used to show target occupancy, then loading accuracy improves, but device complexity and cost increase
Solution Approach 1:
The patent achieves multi-functionality by integrating multiple capabilities into a single system: the display device not only shows target occupancy information but also receives control signals from the computer, coordinates with image capture devices, and adapts its display content dynamically. This universal approach consolidates multiple separate functions (display, control, monitoring, adaptation) into one integrated system, reducing overall complexity.
Solution Approach 2:
The system merges the display device with the control system and image recognition infrastructure. The display unit is integrated into the overall automated occupancy management system, sharing hardware resources and software processing with the image capture and analysis components, thereby reducing redundant elements and simplifying the overall device architecture.
4Productivity
If image capture devices record actual occupancy in real-time, then process optimization improves, but system complexity and data processing requirements increase
Solution Approach 1:
The patent replaces complex manual data collection and analysis processes with automated image capture devices and computer vision algorithms. The system automatically captures images of baking trays, processes the visual data to identify dough pieces and their positions, and generates occupancy information - eliminating the need for manual counting and data entry while improving processing efficiency.
Solution Approach 2:
The image capture and data processing system operates autonomously, automatically capturing images at appropriate intervals, processing the visual information through AI algorithms, and generating occupancy data without requiring manual intervention. The system self-manages the entire data collection and processing workflow, reducing operational complexity despite the advanced technology involved.
Data Source
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AI summary
The invention relates to a method for optimizing a baking process, comprising the following steps: • Placing a baking tray on a work surface (18, 18'); • Placing dough pieces on the baking tray; • Capturing the actual placement of dough pieces on the baking tray by means of an image acquisition device (22, 22') and transmitting the captured data to a computer (24); • Placing the loaded baking tray in an oven (34); In order to be able to assign a specific baking tray to a specific baking process, the following step is proposed: • Capturing the placement of the loaded baking tray in the oven (34) by means of a detection unit (33) connected to the computer.