Smart glasses in production

Faster and more efficiently with wearable displays

Whereas smart devices such as tablets and smartphones have long become established parts of our everyday lives, these technologies are much less in evidence in the industrial environment despite the fact that they have enormous potential in terms of process quality, productivity and transparency. They could connect employees very much more efficiently than is currently the case with production planning and quality systems, thereby supporting them in their activities. The vision of fault-free production thus moves another step closer.

Smart glasses are particularly suitable for use in a number of production processes: these permit the employee to obtain information in real time and in a location which may not be the point at which value is added thereby exerting a positive influence on throughput times and error rates. The personal smart glasses system also enables individual employees to pass on process-related information, thereby contributing to continuous improvement.

Previous experience demonstrates that the use of smart glasses reduces error rates by over 50 percent, depending on the application and that lead times can be shortened by approximately one third.

Our “oculavis” smart glasses solution consists of an app, the smart glasses themselves and a web-based environment to model the application scenario which communicates with the glasses. The sequences can be displayed in detail in the view field of the glasses and augmented with additional information in the form of images, audio and video data and even 3D models. The quality of manual processes can be improved significantly in this way.

Process variations are generated automatically by the software and can be allocated to specific orders on the basis of QR codes or NFC tags, for example. The system additionally provides the option of analyzing contextual information such as times, error reports or suggestions for improvement before deriving measures which can be implemented in order to improve the process.

“oculavis” has been used effectively in manual control cabinet assembly processes, for example, to achieve a considerable reduction in the error rate in test runs. The system supports the worker and provides the necessary information – entirely as required and on-demand – from images of the storage location of components to video-based assembly instructions. If required, the machine’s communication protocol OPC Unified Architecture provides the operator with extensive insights into machine data and status information, while the integrated videophone function enables a quick clarification of queries regarding the production process.