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Healthcare 8 months

Computer Vision QC System for PharmaVision

Deployed computer vision quality control for pharmaceutical manufacturing achieving 99.97% inspection accuracy at line speed.

Computer Vision AI Automation Custom Software Development
Verified Results NDA Signed US-Based PM Fixed Price
100%
Inspection Coverage
99.97%
Defect Accuracy
-100%
Batch Recall Incidents
1,200/min
Inspection Speed
100%
Inspection Coverage
99.97%
Defect Accuracy
-100%
Batch Recall Incidents
1,200/min
Inspection Speed

The Challenge

PharmaVision's manual pill inspection process was sampling only 5% of production. FDA regulations required 100% inspection capability. Manual sampling was catching defects late, causing expensive batch recalls averaging $1.2M per incident.

Our Solution

We deployed a computer vision system with 8 high-speed cameras inspecting pills at line speeds up to 1,200 units/minute. CNN models detect surface defects, color anomalies, size variance, and foreign material with 99.97% accuracy.

Our Approach

We collected 200K+ labeled defect images across 15 defect categories. Transfer learning on EfficientNet-B5 achieved 99.97% accuracy. The system generates GxP-compliant electronic batch records automatically, replacing manual paper processes.

"

We haven't had a single batch recall since deploying TechVerse's computer vision system. 100% inspection coverage at line speed — something we thought was impossible for our scale.

D
Dr. Karen Wright
VP Quality, PharmaVision Labs

Project Details

ClientPharmaVision Labs
IndustryHealthcare
Timeline8 months
Team Size8
ROI460

Technologies Used

Python TensorFlow OpenCV EfficientNet PostgreSQL React Docker NVIDIA Jetson AWS TimescaleDB
3 slots open · AI-first development

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150+
Projects Delivered
80+
Happy Clients
98%
Satisfaction Rate
48h
Average Kickoff