Signalton

Problem

In general, our sensor network platforms can address almost all smart everything problem including those in smart home, building, city, manufacturing, industry, environment, transportation and energy applications. We target problems with highly scalable use cases and the ones with higher societal or environmental impact.

Çözüm

We developed working end-to-end applications (TRL5/6/7) for smart cities, environment, manufacturing and transportation using our platforms together with our cloud-side software for AI-based analysis, data presentation and mobile user interfaces. Those applications demonstrate the application of our based products and capabilities to specific use cases. One of our solutions is a Disaster Search and Rescue (DSAR) system for survivor detection and disaster management. Based on SigMote and the AI-based algorithms that we developed for sound, vibration and image/video analysis together with GIS based data presentation and a mobile app interfaces for users, SAR teams and disaster authorities, this end-to-end solution is a highly scalable product that can be used at each home just like a gas or smoke detector, and that locates survivors and saves lives in case of a disaster (of geological, extreme weather or fire origin). This product serves for the disaster resilience aspect of the smart city concept. Closely related to DSAR system, we also developed the conceptual design of a structural health monitoring solution of earthquake prone buildings (Smart-SHM). Another product we developed based on our platforms is an air quality and noise sensing (AQNS) system for smart city, environment, and manufacturing use cases. We develeped the system to be used on a mobile network of green vehicles (bicycles, scooters, buses, etc) in a smart city for dynamic instrumentation for air quality and noise measurements with more granularity and lower cost. This provides added value to fleet operations as well. Connected with this solution, we developed LOCOMOPT, an IoT device and platform based on DataMote for use in smart transportation including micro-mobility for vehicle tracking, GIS-based positioning and operational optimisation. We are integrating this device with a bicycle fleet operator into their specific types of shared/rental bicycles at the moment. We are also preparing a demo for another customer to integrate the IoT device as a vehicle tracking solution to their small electric vehicles for freight. We also have other national and international on-going contacts with fleet operators and vehicle producers for further integration and customisation. As a result of our involvement in an industry-technology partnership programme of TUSIAD (Industrial Business Association of Turkey) , we now work with Brisa Bridgestone Sabanci Tire Inc. to develop a tire failure early warning and safety system (TIWAS) based on our platforms and AI-based advanced vibration signal analysis. The result of this project will be a joint product that will be used in heavy duty trucks and the business around that product will be highly scalable. Within the same programme, this year we partnered with SOCAR Türkiye for active acoustic noise reduction in their petrochemical and petroleum refinery plants.

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