Integration of wearable sensors and a real-time localization system for Industry4.0 applications
We at OMTLAB have developed our unique indoor positioning platform, the SUNSTONE RTLS. We focus on the manufacturing and logistics industry. Based on the feedback of our customers we foresee a huge market potential in wearable sensors combined with a high accuracy indoor positioning system. Though personnel tracking is not welcome in general, in case of safety and security oriented applications it has a great potential. These use cases range from work in hazardous environments to disabled operators in logistics or manufacturing and human-machine cooperation.
In the frame of this proposed experiment we intend to develop our RTLS-enabled wearable devices based on the WeSu platform. We will incorporate the platform’s kinetic sensors to enhance tracking accuracy and to provide fall detection. We will integrate customized environmental sensors (e.g. gas, temperature and radiation) to the WeSu platform so that we can provide safety wearable sensors in the chemical and pharmaceutical industry.
We heard about FED4SAE from BME, the Hungarian advanced technology and networking partner. We have been consulting with them during the preparation of the proposal. We think that the support is a big opportunity for our company to cooperate with ST in order to extend our sensor solutions. We are looking forward to technical support from them in order to optimize our wearable product.
Human tracking will be used only for safety and security applications, for example in case of collision avoidance, panic signaling, work in hazardous environment or the support of disabled operators.
Target customers are factories, warehouses and logistics centers carrying a wide range of applications under one roof from small automated trolley carts to heavy duty forklifts. Their business model focuses on resource and time efficient and reliable manufacturing and warehousing processes. These companies can benefit from:
Production efficiency: precise and reliable position tracking of personnel and machines is the basis of collision avoidance that enhance human-machine cooperation on the shop floor and in warehouses
fall detection, panic button and other alerts based on wearable kinetic sensors
improved response time to emergencies
automated keep-out zone detection and alarm signaling for operators