Computer Vision for Better Quality Assurance
Let’s automate inspection tasks with Computer Vision
Detect Material and Assembly Defects at an Early Stage
The potential of Artificial Intelligence for Quality Assurance can change the future of your business.
With just one day of intensive work, your team, together with our technical experts, will evaluate the potential of Computer Vision for your specific quality assurance processes, develop a clear strategy for implementation, and optionally set up a business case for your company.
What Is It?
Identifying quality defects is often critical to avoid customer dissatisfaction or even damage to the production line. To ensure high-quality standards, there are usually continuous controls, which are often done manually. However, technology always helps us when human limitations come into play: the combination of classical image processing and state-of-the-art methods of machine learning can identify and differentiate known objects from foreign objects or objects with unexpected changes.
Our Quality Assurance with Computer Vision sprint is a hands-on experience where, together, we analyze how our expertise in Computer Vision can help optimize your Quality Assurance processes.
What to Expect?
Two times half a day workshops of intense collaborative sparring prepared by our technical experts. Together we analyze your existing business goals and objectives, work out specific pain points and introduce our approach for Quality Assurance with Computer Vision to you.
What Are the Outcomes?
Our Quality Assurance with Computer Vision sprint will lead to a general roadmap for the implementation of Quality Assurance with Computer Vision processes in your company.
Sprint Agenda
Research and Preparation
In preparation for the first part of the sprint, we will analyze all existing information and material on your specific use case.
Big Picture
In this first 4h sprint, we will discuss your specific business goals and objectives and based on that work out existing pain points. We will analyze your existing data sources and infrastructure and put it in context with our Motius approach to QA with CV.
Data and Infrastructure Analysis
After the first session, we spend some time further analyzing the data quantity and quality. We will then set up the dataset and computing infrastructure development cycle.
Evaluation and Selection
In the second 4h Refinement sprint, we will ideate and elaborate together on the selected use cases. We will evaluate and prioritize them. We will develop a business case and set up the roadmap for implementation.
Our Innovation Experts
Max Theilacker
Innovation & Design expert
Kevin Burger
Innovation & Design expert
Are You
Interested?
Experience our user-centric approach to product development
and find out how emerging tech could deliver results for your business.