Computer Vision Platform with Scania
Sustainable Transport Systems
What are we looking for?
Scania is a world-leading provider of sustainable transport solutions. Now, Scania has a need for a computer vision platform to automate manual work and to ensure quality within production and logistics. Ultimately, this will improve process quality and enable employees to focus on tasks where their competence has the biggest impact.
Quality inspection with new solutions
Complex products and processes sometimes require full-time employees to do manual quality and process control. Whereas traditional image processing has become a commodity, this area is fragmented with several standalone solutions that do not interoperate together, resulting in inefficiencies for large-scale industrial processes.
To improve current processes, Scania seeks scalable computer vision solutions and new ways of working. As an example, computer vision systems could be used to carry out quality and process control, which has traditionally required human intervention.
Manual inspection is repetitive and error prone. A sophisticated interplay between manual tasks and automation can produce higher quality output and enabling employees to focus on the tasks for which human intelligence matters the most.
Scania does not seek a one-off solution, but rather a company-wide platform to further develop computer vision capabilities in a flexible manner. In other words, a computer vision platform that assists in the areas of data collection, pre-processing, modelling, deployment and maintenance, with easy adaptability to future advancements in each of the areas. An ideal solution is a plug & play approach with high interoperability, e.g. the possibility to easily train, deploy and manage custom models. The platform should be both hardware and cloud agnostic.
Your opportunity with Scania
Scania is looking for startup and scale-up partners, with expertise in industrial computer vision platform solutions, that can enable automation of traditionally manual industrial tasks, such as quality assurance in logistics, assembly, and process quality control.
A successful pilot will get a structural agreement with Scania with the aim of scaling across different business units within Scania. If a suitable scalable platform solution is found, there is an opportunity of scaling the technology into Scania’s production sites globally. Scania also wants to explore the possibility of deploying within the TRATON Group.
Examples of solutions we’re interested in
Logistics quality gate
Computer vision can be used to ensure that the right set of parts have been picked for their corresponding order. A detection model, for example, can be used.
Assembly quality gate
A simple classification algorithm can check if the right part is assembled within the production line. Sometimes image processing (e.g. edge detection) will do the job.
Process quality gate
A sophisticated system can enable automatic visual inspection of surfaces that have been welded, machined, painted or otherwise treated and mark defects.
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