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PRODUCTS / PROJECTS
Maybe it can now be said that the driving assistance systems of today's modern vehicles save lives, but it is safe to say that they significantly help and support transport and driving. With our parking solution, we had the opportunity to participate in the final phase of the development of a new ADAS driving assistance system, where the final operation of the solution was demonstrated.
In cooperation with one of the most famous Hungarian driving support software startups, one of the major mobile service providers has developed a self-driving parking system that is fully self-driving in underground garages. The car needs to know the occupancy status of the parking slots and with this information it can go to the nearest empty parking space soonest.
For the demonstration of the self-driving parking system in Hungary, we delivered sensors for the parking spaces of the underground garages and managed to provide these data to the self-driving car. The Smart Parking sensor developed by us is able to transmit occupancy data using geomagnetic measurements to the server which finally sends to the self-driving car.
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At the request of a leading insurance company in Hungary, we have made an end user equipment that can be easily installed by its customers. It helps to detect the most common damage events (pipe breakage, water intrusion, frost and fire damage) in time, reducing the amount of damage and thus the insurer's share. Our solution is a small unit with sensors based on NB-IoT data transmission, which sends the data to our central receiving software, from where it is transferred online to the insurance company. Customers are notified through a mobile app with push notifications. Inside the app they can check previous device alerts or status messages to make sure devices are working perfectly.
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It is a challenge for Hungarian water utilities to locate faults in the tens of thousands kilometers of district pipelines running around the country, and to reduce loss of drinking water. During the project, we delivered NB-IoT consumption measuring devices to one of the regional water utility, which units were installed on the district supply meters. The device transmits hourly data to our application installed in Customer's data center. The central receiving application transmits this data to a SCADA application, that has been running there for a long time and by using a newly developed interface the water consumption of each district can be displayed in a central system. With the help of the higher resolution data provided by the system, the waterworks achieved better fault localization as a result of targeted interventions and restoration works on the pipeline network, thus reducing the amount of leakage caused by cracks and making its service more efficient.
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The aim of the project is to optimize the collection of selective waste and increase customer satisfaction in the field of supply of the local waste management public service provider. For this reason, as part of a project, we have installed load monitoring sensors on 102 public trash collector containers, which transmit the measured data to our central application via NB-IoT data network. This data is displayed in a user-friendly interface, where the service provider's specialists can see up-to-date information about the current waste level of containers, abnormal events (overturning, fire), browse historical data and organize the collection more efficiently supported by various reports. The second phase is currently underway, where a designated group of abroad installed containers in the service provider's supply area has been installed with sensors, significantly reducing the mileage of the collection vehicles, and enabling more optimal flight management, resulting in less environmental impact and financial savings. In the meantime, we have also developed a mobile application for our central application to plan the route of vehicles and to navigate the vehicle based on this.
City / Region where the solution was deployed
Belgium, France, the Netherland, Switzerland, Bulgaria, Italy, Monaco, Romania, the US, Mexico, Singapore, HonKong, Rwanda, Tunisia, , Székesfehérvár