SOLUTIONS POWERED BY AI
The Challenge.
- Quality testing is an important part of a manufacturing production line, but this can present challenges.
- When quality control is done by humans (as it often is), it can bottleneck the production process in an impactful way.
- Moreover, only a sample of the produced goods is inspected, and it is assumed that this is representative of the entire batch.
The Solution.
- Designed and built a Machine Learning Computer Vision model to identify quality issues based on images of produced goods.
- Integrated the solution directly into the production line to detect issues in real time.
- Built a dashboard for real-time analysis of quality.
The Results.
- Lower production costs by reducing time required for quality control.
- Quality control in real-time enables production managers to react to issues more quickly.
- An automated system enables the inspection of every part being produced instead of just a sample, improving the quality overall.