Question 1

How do you assess if computer vision is right for our use case?

Accepted Answer

We conduct a technical feasibility assessment analyzing your data, hardware, and operational requirements. We review sample images/videos, discuss your accuracy needs, and identify the best vision models and deployment approach. This assessment is free and takes 1-2 hours. If it's not a good fit, we'll tell you—we'd rather be honest than oversell.

Question 2

How long does it take to deploy a computer vision system?

Accepted Answer

Deployment typically takes 2-6 weeks from start to production, depending on complexity. Simple object detection on structured data: 2-3 weeks. Complex multi-class detection with custom training: 5-6 weeks. We've optimized our pipeline through 50+ deployments, so timelines are reliable.

Question 3

What do we need to provide for model training?

Accepted Answer

You'll need labeled training data—typically 500-2000 images depending on complexity. We can help annotate data if needed. We'll also need hardware specs, integration requirements, and access to your systems for testing. The better your data, the better your model accuracy.

Question 4

How much does computer vision deployment cost?

Accepted Answer

Pricing depends on complexity: Simple detection (1-2 classes): $25K-$40K. Medium complexity (3-5 classes): $40K-$75K. Complex systems (custom training, edge deployment): $75K-$150K+. This includes development, training, deployment, and 3 months of support. We offer flexible payment terms and ROI-based pricing for high-impact projects.

Question 5

What happens after deployment? How do you ensure ongoing accuracy?

Accepted Answer

Post-deployment, we provide 24/7 monitoring dashboards, performance alerts, and quarterly model retraining on new data. We track accuracy drift and retrain proactively. Most clients see stable or improving accuracy over 6-12 months as models adapt to seasonal/operational changes.

Question 6

Can you integrate computer vision with our existing systems?

Accepted Answer

Yes. We integrate with your current workflows, cameras, IoT devices, and backend systems. We support on-premise, edge, and cloud deployment. We also handle API integration, webhook setup, and data pipeline architecture. Your system stays secure and doesn't require major overhauls.

Transform Your Operations with Computer Vision Solutions

Industries We Serve

Manufacturing

Retail

Logistics

Technology

Healthcare

Our Computer Vision Delivery Process

Technical Feasibility

Model Selection & Training

Integration & Testing

Deployment & Optimization

Support & Continuous Improvement

Success Stories

Building IoT Consumer Device Ecosystem

Creating Digital Healthcare Ecosystem

Developing Enterprise EV Mobility Platform

Building Community Welfare Platform for Government

Building IoT Consumer Device Ecosystem

Creating Digital Healthcare Ecosystem

Developing Enterprise EV Mobility Platform

Building Community Welfare Platform for Government

Building IoT Consumer Device Ecosystem

Creating Digital Healthcare Ecosystem

Frequently Asked Questions

Still have questions?

Ready to See Computer Vision in Action?