Increased Effectiveness and Safety of Product Assembly and Repair Processes

Stakeholders' Roles

SPACE will be the business owner of the pilot offering access to edge devices, and engaging technicians in the experimentation. SYN will be the integrator of the personalized XR solutions for training and repairs.

Motivation & Description

As part of its security solutions portfolio, SPACE assembles and configures tailored edge devices with sensors and actuators that are mainly focused on physical security applications. These devices feature an LTE (Long Term Evolution Model) modem, analog and digital I/O set, and a lightweight compute node hosting the IoT edge logic. SPACE develops a bespoke agent for these devices, which connects to the Guardian™ 2.0 PSIM platform for integrated surveillance rule-based incident response (e.g., triggering alarms, locking of doors and safes, lighting control etc.). Such devices have been installed and operate in several enterprise customers of SPACE (e.g., in the banking sector). However, their assembly and support are quite challenging, given the variety of components and configurations that they entail. SPACE is seeking solutions that can facilitate its engineers to carry out the assembly process in less time, yet increased quality and safety. In this direction, XR solutions (including VR/AR cyber-representations) could greatly benefit SPACE, through safe and effective training of engineers in the assembly process and through remote support to field workers in maintenance and repair tasks. Such solutions are already offered by SYN to several industrial end-users, yet existing solutions are not personalized to the knowledge and skills of the workers. This pilot will implement and demonstrate XR solutions for training and support of SPACE’s workers in the edge devices assembly, deployment, and repair processes. Most importantly, it will prove the importance and effectiveness of personalized instructions during assembly and repairs of edge devices, notably instructions that address two different skills levels (i.e., beginner, intermediate). To this end, the pilot will develop personalized content and workflows as part of two UCs.


Average reduction to the time needed to assemble an edge device>=20%; Increased engagement of lower-skilled technicians in the process>=50%; Average Reduction of the Cost of the Assembly and Repair Processes>20%

Use Cases

This Use Case will develop personalized VR/AR content and guidance for the assembly of SPACE’s edge devices. Three variations of XR content and workflows will be developed for the two profiles. To this end, the human-centred DT’s platform of the project will construct and instantiate digital images for the specified profiles. Explanations and recommendations for the next step of the assembly process will be also developed and superimposed over the XR content to provide the necessary level of guidance. The implementation will be based on the SYN’s Unity-based XR training solutions, which will be used to develop the training application. It will integrate 3D Visualizations and content created for SPACE’ edge device.

This Use Case will focus on the development of personalized and guided AR content that will be used to instruct technicians on how to identify defected edge devices and to carry out related. The content personalization will be driven by the level of the workers’ expertise and AI-based analytics (explanations, recommendations) about the potential failures and malfunctions to be addressed. Low-skills workers will be provided with more detailed and analytical step-by-step guidance, including richer content. Higher skills workers will be guided to more concise and less verbose inspection and repair solutions to allow them to identify the defect’s exact position and to leverage repair instructions.