Food Processing Line Irregularity Detection With Sensor-Triggered Imaging
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Solution Overview
Problem
Food processing lines face disruptions due to irregularities, which can lead to significant economic losses, and existing systems lack the ability to quickly detect and address these issues, resulting in prolonged downtime.
Innovation Solution
A food processing line equipped with a sensor apparatus and cameras that continuously record images, coupled with a central data processing device, which selects and analyzes relevant data to determine the cause of irregularities, and can automatically initiate countermeasures or suggest corrections, utilizing artificial intelligence to recognize patterns and anomalies in sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous monitoring with cameras and sensors is implemented, then detection speed and reliability of irregularities is improved, but device complexity increases
Solution Approach 1:
The monitoring system is divided into multiple independent camera units and sensor apparatus positioned at different locations along the food processing line. Each camera monitors a specific region where causes of irregularities may be present, allowing the complex monitoring task to be segmented into manageable independent units that can be individually configured and maintained.
Solution Approach 2:
A central data processing device serves as an intermediary that receives data from multiple distributed cameras and sensor apparatus, processes this information centrally, and coordinates the selection of relevant images. This intermediary structure allows distributed sensing while maintaining centralized intelligent processing, resolving the complexity of coordinating multiple monitoring elements.
2Measurement precision
If all recorded images are analyzed, then complete detection of irregularity causes is improved, but processing time and computational load increase
Solution Approach 1:
The system extracts and selects only those images that are relevant for determining the cause of detected irregularities, rather than analyzing all recorded images. The central data processing device identifies and isolates the specific time windows and camera views that contain causally relevant information, discarding redundant data to minimize processing time while maintaining detection precision.
Solution Approach 2:
Images are continuously recorded and stored in advance before irregularities occur. When an irregularity is detected by the sensor apparatus, the system retrieves pre-recorded images from the relevant time period and camera angles, rather than attempting to capture and analyze images in real-time during the irregularity event. This preliminary recording approach ensures no critical moment is missed while enabling efficient post-event analysis.
3Adaptability or versatility
If manual inspection of images is used to determine irregularity causes, then flexibility in analysis is improved, but detection speed decreases
Solution Approach 1:
The central data processing device automatically performs the selection and analysis of relevant images to determine the cause of irregularities, without requiring manual intervention. The system self-services by autonomously processing sensor data, selecting appropriate camera images, identifying causal factors, and initiating countermeasures, thereby maintaining both speed and adaptability through automated intelligent processing.
Solution Approach 2:
The system establishes a feedback loop where the results of automated image analysis are used to refine future detection and analysis processes. The central data processing device learns from analyzed cases and adjusts its image selection criteria and analysis parameters, improving both detection speed and flexibility over time through iterative optimization based on accumulated experience.
Data Source
AI summary
The invention relates to a food processing line, in particular having at least one slicing machine, a sorting and conveying path and/or a packaging machine, said food processing line comprising a sensor apparatus for determining irregularities in the operating procedure and a point in time of the determined irregularity, at least one camera in order, during operation, to continuously record images of at least one region of the food processing line in which a cause of an irregularity can be present, and a central data processing device that, during operation, receives data from the sensor apparatus and from the at least one camera and that is configured and set up to select the images that are relevant for determining a cause of the irregularities from the images recorded by the camera. The invention furthermore relates to a corresponding method of operating a food processing line.