Computer Vision

We automate visual inspection and monitoring for manufacturing and operations companies

Most companies still rely on human workers to inspect products, monitor safety compliance, and count inventory. This leads to inconsistent quality, high labor costs, and human error. We build custom computer vision systems that see what humans see—but faster, more accurately, and 24/7.

Schedule a Call Limited spots available Computer Vision Automation

The Impact

60-80%
Reduction in inspection costs
24/7
Continuous monitoring
99.9%
Detection accuracy

What We Automate

Quality Inspection

Detect defects, measure dimensions, and ensure product quality at production speed

Safety Monitoring

Monitor PPE compliance, detect safety hazards, and prevent accidents in real-time

Inventory Tracking

Count products, track movement, and maintain accurate inventory without manual counts

Process Monitoring

Track production flow, identify bottlenecks, and optimize operations automatically

How We Work

1

Visual Assessment & Data Collection

We audit your current inspection processes and capture sample images/video from your operations. We identify what your workers currently look for and document the visual patterns that indicate quality, defects, or compliance issues.

2

Custom Model Development

We train deep learning models specifically on your products and environment. Unlike generic solutions, our models learn your exact quality standards, lighting conditions, and visual variations.

3

Edge Deployment & Integration

We deploy the system directly at your production line using industrial cameras and edge computing. The system runs locally for real-time decisions without internet dependency.

4

Continuous Learning & Optimization

We monitor performance and retrain models as your products or processes evolve. The system gets smarter over time as it sees more of your real-world variations.

Frequently Asked Questions

How accurate are computer vision systems compared to human inspectors?

Our systems typically achieve 95-99% accuracy, which often exceeds human performance. More importantly, they're consistent—no fatigue, distractions, or subjective judgment variations. We also provide confidence scores for each detection, so you know when to flag items for human review.

What if my products or processes change?

We design systems for adaptability. Minor changes usually require just adding new training images and retraining the model. Major changes might need additional cameras or model architecture updates. We include ongoing support to handle these evolution needs.

How long does implementation take?

Typically 6-12 weeks from start to deployment. This includes 2-3 weeks for data collection and model training, 2-4 weeks for integration and testing, and 2-4 weeks for deployment and staff training. Timeline depends on system complexity and integration requirements.

What happens if the system misses a defect or flags good products as bad?

We design systems with adjustable sensitivity thresholds. You can tune for higher recall (catching more defects) or higher precision (fewer false alarms) based on your cost preferences. We also provide detailed logs for continuous improvement.

Do you work with existing production equipment?

Yes, we integrate with most existing systems. We typically add cameras and edge computing devices to your current setup rather than replacing equipment. Our systems can send results to your existing quality management or ERP systems.

Ready to Automate Your Visual Inspection?

Get a consultation showing how computer vision can transform your operations

Schedule Your Call Limited spots available