delaware and Robovision launch AI partnership

After having worked together on a project for a joint customer, delaware, a business advisor and IT services provider, and Robovision, an AI company that develops deep learning applications, decided to set up a more thorough partnership. As such, companies can autonomously infuse their processes and operations with AI, leading to more valuable interpretations and automated intelligent decision-making.

Delivering tomorrow today.

“A company that wants to stay competitive, has to become an intelligent enterprise,” says Olivier Verberckmoes, partner at delaware and AI expert. “By partnering with Robovision, we can bring an AI technology like computer vision within the reach of many more companies. The combination of delaware’s knowledge of systems and processes within complex production environments and Robovision’s AI platform will enable companies to make great improvements in efficiency and effectiveness.”

“We are all about the application of deep learning. With our self-service AI platform, companies can start applying AI on their production floor within weeks”, says Daan Gheysens, sales director at Robovision. “There’s a good match with delaware, also culturally. As they focus on the go-to-market, we can confidently focus on expanding our platform.”

Gheysens continues: “Over the past decade, companies invested in systems to capture and own their data, so that one day, they could use it to optimize processes and increase value. With our RVAI platform we get our customers to the next level, where they capture and own the intelligence that is present in their company today. Once installed, customers can update existing as well as new deep learning models themselves. This gives them all the flexibility and empowerment they need to try out new use cases and start applying AI in an industrial context.”

AI and computer vision

AI combines many different technologies. Three key elements are computer vision, natural language processing and intelligent devices. Within this partnership, the focus is on computer vision. 

Typical computer vision applications consist of visually detecting or recognizing specific items or objects, either from images, video or cameras. Data is then labelled and turned into a series of insights from which a number of actions are derived. These can range from simple yes-no questions, over object detection to segmentation and similarity detection. Some examples are:

• Within the food industry, the quality of crops or the width and height of vegetables can be identified automatically. As such, production can be optimized and quality can be improved.
• Within manufacturing, product defects can be spotted sooner and defected products can be removed from the production line more quickly, greatly optimizing the total throughput.

All of these AI technologies use deep learning, meaning that the system becomes smarter: it learns with every new case presented. Depending on the nature of the implementation, additional calibration of the algorithms and sometimes also human interaction is still needed to make the process even more performant.