The challenger
APTIV is an Irish automotive technology supplier with headquarters in Dublin.
APTIV develops safer, greener and more connected solutions, which enable the future of mobility.
Challenge
APTIV launched the challenge “Eye See Glasses – Remote Support”.
They were looking for an SME or a startup that could create the Eye See Glasses, where the multi interaction could become possible, increasing response quality and, therefore, customer satisfaction.
Solution Provider
Dropslab, a company from Luxembourg, is a provider of industrial augmented reality (AR) solutions.
They introduced the AR Assistance Platform as a matured and sustainable solution for APTIV, which can be used for current and future remote collaborations and support scenarios. With the mission to empower frontline workers to achieve their tasks faster and in higher quality, Dropslab cooperated with APTIV.
Solution Proposed
The solution developed by Dropslab for APTIV is AssistAR, an artificial intelligence-based assistance solution that translates procedures into an interactive guide and walks users through the necessary processes to make the task easy to understand and simple to perform, resulting in increased efficiency and reduced errors.
The purpose of AssistAR is to minimize non-value-added activities to ensure value creation without interruptions or failures in the process.
Conclusions
The project started in July 2021 and ended in January 2022. PITCCH supported the first phase with the intend to facilitate the initiation of longer-lasting Open Innovation collaborations and stimulate the adoption of this approach by companies.
The solution proposed by Dropslab consists of two integrated modules: Dropslab Core and Drosplab Sense. Dropslab Core enables users to design, follow and monitor procedures and workflows. Moreover, related media such as photos and videos can be included to enable frontline teams to understand tasks better. Dropslab Sense connects the teams on the field seamlessly with the colleague in the office. It allows interacting with colleagues remotely by chat and video features in real-time on iOS devices, Android devices or smart glasses. Moreover, it helps teams understand processes faster.
The implementation of the assistance platform involves an Industrial Internet of Things (IoT) model, which allows sufficiently accurate tracking of process conditions, in a particular work step, involving the interaction between the human worker, the components and the industrial environment. The architecture ensures a concept for information management for collecting individualized data, unique identification of products and support for industrial processes.
The achieved effect is the reduction of non-value-added activities to the minimum to ensure value creation without interruption or breakdowns in the processes.
The involved parties recognise that the collaboration during the 6 months was carried out according to the agreed planning and that the outcomes were aligned to the technical requirements.
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To read a summary of all the challenges, download the Booklet