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Teaching machines to think...

Computer Vision System

Computer Vision system with 98% accuracy for real-time production volume monitoring

Manufacturing
Computer Vision
Real-time Analytics
Process Automation
Foam Glass Production Monitoring System

About the Project

We built a Computer Vision system that monitors foam glass production lines in real-time. The system uses multiple camera feeds to detect, measure, and count products as they move through the production process. It calculates production volumes automatically, eliminating the need for manual counting and providing instant visibility into production metrics for management.

Challenges & Solutions

Key obstacles we addressed and the innovative solutions we delivered.

Manual counting

Pain Point

Workers spent 4+ hours daily manually counting and measuring production output, prone to human error

Our Solution

Deployed edge AI cameras with custom object detection models that count and measure products automatically

Production visibility

Pain Point

Management only received production reports at end of shift, making it impossible to respond to issues in real-time

Our Solution

Created live dashboards showing real-time production metrics, with alerts for anomalies and production targets

Quality detection

Pain Point

Defective products were only caught at final inspection, wasting materials and production time

Our Solution

Trained CV models to detect defects inline, automatically flagging or rejecting substandard products

Results

Measurable outcomes that demonstrate the impact of our work.

98%

Detection Accuracy

100%

Reduction in Manual Labor

24/7

Continuous Monitoring

<1s

Detection Latency

Let's Build Your AI Solution

From first prototype to scaled production—one team handles it all. Tell us what problem you're solving.