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AI improves anomaly detection precision in consumer goods packaging

 

 

 

Objective
Reduce waste and improve efficiency in production by implementing computer vision AI
Technology
AI for visual inspection + Defect detection + Edge detection + Machine learning
Industry
  • Manufacturing
  • Consumer goods
  • Chemical
Consumer goods providers benefit from AI in visual inspection

Traditional Quality Control (QC) methods that rely on manual inspections and rule-based systems can often be inefficient and prone to errors, especially when it comes to detecting irregular shapes and subtle defects. These methods consume a significant amount of time and labor, and can compromise the precision of product quality.

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Specifically prevalent in industrial and consumer goods manufacturing sectors, challenges arise in semi-liquid packet production lines, especially with viscous liquid. The current manual inspection process struggles to identify defects like non-standard contours and barely visible issues such as bubbles and foreign inclusions, resulting in high defect rate. Moreover, the dependence on random inspection often forces the disposal of entire batches upon defect discovery, leading to substantial waste and financial losses. Furthermore, rule-based automatic inspection systems fall short when detecting edge defects due to wrinkles, indicating a notable technological gap.

 

Addressing these critical issues and leveraging expertise in AI and automated inspection technologies revolutionises QC by automating processes and enhancing defect detection capabilities. AI-powered visual inspection minimises waste, boosts efficiency, and significantly improves the accuracy of quality assessments.

Areas of Focus

By implementing new camera infrastructure, Aicadium can deploy a comprehensive AI-powered solution that leverages data visualisation and optimises in-flight kitchen operations. Aicadium View’s primary function is to ensure accuracy of in-flight meal loading and that every passenger receives the correct meal.
This solution streamlines operations by standardising quality control processes and simplifying time-consuming tasks of meal and beverage verification, ensuring efficiency and precision in service delivery.

 

AI Computer Vision Solutions

This transformative advancement surpasses the constraints of traditional optical inspection approaches, offering comprehensive defect detection across various material compositions and surfaces, enhancing quality control processes significantly.

  • Defect detection across various textures and shapes.
  • Inspection of translucent or semi-transparent objects, viscous liquids, irregular surfaces.
  • Detection of anomalies and defects such as bubbles, inclusions, tears, dirt, discoloration.
Process automation minimises the risk of missing items, ensuring consistently superior customer service.
Our Approach

Our solution used a text+image foundation model in conjunction with our proprietary pre- and post-processing, offering superior performance over a more traditional approach.

Model Training
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Model Inference
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Results
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Aicadium’s transformative solution for airline catering providers revolutionises the in-flight meal assembly process. Our scalable AI computer vision solution elevates airline customer satisfaction by ensuring precise meal assembly with no omissions and effectively tackles labor shortage issues by minimising the need for manual quality control checks. Moreover, it provides comprehensive, insightful data for managerial decisions.

This solution saves costs and heightens operational efficiency, marking a notable breakthrough in the aviation catering industry.

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