Akridata

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Transform Assembly Line Inspection using Akridata

A medical device company sought to improve accuracy and efficiency in its computer vision-based inspection lines. Existing computer vision technologies led to frequent false positives and negatives, impacting profits, increasing customer complaints, and inflating operational costs.

OBJECTIVE

Enhancing Efficiency

The aim was to boost accuracy and efficiency in assembly line inspections through independent validation of the daily batch of production.

CHALLENGE

Balancing Speed and Accuracy

The company's in-line inspection system, efficient but inaccurate, fell short despite repeated model tuning. Real-world production conditions and a rigid, speed-focused approach caused incorrect part flagging, posing a challenge in balancing speed without sacrificing accuracy or risking defective product shipments.

SOLUTIONS

Enhanced Production Insights
with Akridata’s Data Explorer

1. Customize Feature Representation
With the flexibility of the Data Explorer to seamlessly customize the feature representation, users are able to derive meaningful insights on their data.
2. Organize and Explore
Utilizing clustering techniques, Data Explorer categorized visual data into distinct “pass” and “fail” groups, further segmenting them into detailed subgroups.
3. Analyze and surface production anomalies
This hierarchical approach provided a comprehensive overview of production variations, facilitating the identification of specific failure types and areas of variation.
Overlaying Data Insights:
Overlaying Data Explorer’s findings with existing predictions enabled precise human intervention, refined inspection decisions, and reduced errors in part flagging.

RESULTS

Delivering 40% Decrease in False Positives and 30% Reduction in False Negatives

Through the implementation of Akridata's Data Explorer, the pharmaceutical company achieved significant improvements in their assembly line inspection processes.

Leveraging Akridata’s Data Explorer, the pharmaceutical company achieved a notable 40% decrease in false positives and uncovered a 30% reduction in false negatives.

This improvement significantly reduced inventory wastage and prevented the shipment of defective products.

The implementation of Akridata’s solution elevated product quality standards, safeguarding the company’s esteemed brand reputation.

Improved operational accuracy efficiency and reduced recalls while cutting costs.

Ready to experience the power of Akridata Data Explorer?