Project description
AI for better visual inspection in manufacturing
As digitalisation advances, the advantages it offers to the industrial sectors worldwide grow. However, manufacturing still largely relies on humans because of the cost and limitations of machines. This hinders manufacturing processes as visual inspection accounts for a high chance of errors. The EU-funded MoonVision 2.0 project aims to introduce and spread an artificial intelligence (AI) computer-vision platform. Designed to replace current visual inspection systems, this new platform uses proprietary algorithms and events that allow for lower costs, higher optimisation and better data generation while remaining easy to operate and learn. Many renowned companies already include MoonVision.
Objective
"Manufacturing and other companies still rely on humans for visual inspection checks despite the high error rates. This is because automated systems are too general and too expensive and conventional machine vision is too simple. Computer vision and AI can bring the next needed revolution in digitization. They allow machines to see and understand processes in their environment.
The AI computer vision platform MoonVision detects item type and amounts on a visual basis using proprietary algorithms and triggers events including the optimization of machines, payment processes or data generation. MoonVision works with a wide range of commonly available hardware and the deep learning algorithms only require a small amount of images and data to learn.
MoonVision can be applied in a wide range of industries ranging from inspecting metal surfaces to tracking the types of containers in waste processing. Several renown companies are already using MoonVision including Miba, Audi, Sacher, etc. MoonVision has allowed us to enter the AI image recognition market that was valued at €1 billion in 2017. We could gain the part of the market that is dedicated to recognizing images for industrial applications.
We follow an SaaS business model with different subscription levels depending on the vertical. Our customers are different companies in manufacturing, hospitality and anyone who needs visual inspection. The most important types of suppliers are hosting, computation and data suppliers.
Our core team has three members. Our CEO and Founder Florian is a web developer and entrepreneur and holds an MS in Economics. The Executive Director and COO Kamil has worked in consulting since 2008 and holds a BA in business. Tatiana is our AI data engineer and holds a PhD in Optics and Musical Acoustics.
Advanced technologies are currently fueling the ""fourth industrial revolution,"" with the potential of transforming EU industries and creating enormous growth in the European economy."
Fields of science
Not validated
Not validated
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionimage recognition
- social sciencespolitical sciencespolitical transitionsrevolutions
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
1220 WIEN
Austria
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.