frequently asked questions
GENERAL
What industries do you work with?
We primarily support manufacturing and industrial operations such as wood processing, automotive, packaging, and other sectors where visual quality control is critical. If your workflow relies on human inspection or suffers from defects, downtime, or waste, AI Vision can likely help.
Do you only work with large companies?
No. We partner with both small and large organizations. Some of our projects involve quick feasibility studies or pilot installations, while others are large-scale, enterprise-wide rollouts.
What makes AI Vision different from other AI consultancies?
We combine deep expertise in cutting-edge AI research with hands-on experience in industrial hardware and integration. We offer solutions that are tailored to your production environment, ensuring real-world robustness and measurable ROI.
Projects & Workflow
How do projects typically start?
We usually begin with two short meetings. Discovery meeting – We learn about your process, identify challenges, and explore where AI vision could deliver value. Solution meeting – We present a tailored proposal with potential approaches, feasibility, and business case.
Both meetings are free of charge and designed to help you decide whether moving forward makes sense.
What’s the typical timeline for a project?
A small pilot can be up and running in 4–8 weeks, while full-scale deployments may take several months depending on complexity, data availability, and integration requirements.
Do I need to provide data before we start?
Not always. We often begin with live video streams directly from your factory floor. If historical data is available, we can use it to accelerate model training and validation.
What happens if the pilot doesn’t work?
That’s exactly what pilots are for. If performance isn’t sufficient, we identify whether improvements are possible (e.g., more data, adjusted hardware) or whether the use case isn’t technically viable. Our feasibility-first approach minimizes wasted investment.
How disruptive is deployment to ongoing production?
We design systems to integrate smoothly with existing workflows. Most installations can be done with minimal downtime, often during scheduled maintenance windows.
Technical & Commercial
What kind of hardware do you use?
We select from a range of industrial cameras, edge-computing devices, and sensors depending on your requirements. Solutions can run on compact embedded devices or more powerful GPU servers, depending on complexity.
Can your AI models adapt to changes in production?
Yes. Our systems are designed for continuous monitoring and re-training. If lighting conditions, materials, or processes change, we can update the models to maintain accuracy.
How do you handle data security and GDPR compliance?
We follow strict data protection guidelines. Images and video streams are processed either locally on your edge devices or stored securely in the cloud, depending on your preference. We offer data retention policies that comply with GDPR and industry standards.
What does a typical business case look like?
Common benefits include: reduced defect rates and waste, increased throughput and uptime, lower manual inspection costs, improved traceability and compliance
Most customers see ROI within months of deployment.
Do you provide ongoing support?
Yes. We offer continuous monitoring, periodic model updates, and hardware/software maintenance to ensure your system stays reliable and effective long-term.