Technologies
Ubudu supports most standard low power radio technologies BLE, UWB and LoRa to offer affordable solutions that best fit your requirements and environment.

Radio Technologies
Ubudu hybrid approach leveraging different radio technologies through the same system enables to adapt the solution to all use cases in different environments with the highest ROI.
Uses a very low energy level for short impulses, wide-bandwidth that are immune to multi-path and interference to bring high accuracy.
Is used to provide considerably reduced power consumption and cost while maintaining a similar communication range than classic Bluetooth.
Low Power, Wide Area (LPWA) networking protocol designed to wirelessly connect battery operated ‘things’ to the internet with very long range.
Radio standards
IEEE radio standards are used in all Ubudu products to ensure system openness, compatibility and cost efficiency.
Highly secured
Security from the transmission of wireless data packets to data access and management on the software hosted on the cloud or on-premise.
Low maintenance
High availability & redundancy, horizontal scalability through automatic load balancing and supervision tools with automatic alerts
Technical architectures
Ubudu Hybrid RTLS technical architecture can be used separately or simultaneously.
Infrastructure can even be mutualised between different technical architectures.
UWB Time Difference of Arrival (TDoA) uses the difference in the time of arrival of the signal received by different anchors from the tag to measure the distance of the tag to the anchors and compute a position through trilateration.
BLE Smart architecture uses the RSSi value of wireless BLE emitters (Beacons) received by the Tags and transmitted back to the network through Bluetooth Low Energy.
BLE Smart LoRa architecture uses the RSSi value of wireless BLE emitters (Beacons) received by the Tags and transmitted back to the network through LoRa network.
BLE Network Directional architecture uses the RSSi value received by the directional antennas from the tags to detect the tag by zone in real-time.
Our Technology Partners
Software technology features
Ubudu RTLS platform
Ubudu takes advantage of word class algorithmic approaches developed in C++ to compute locations with data available combining a dozen of advanced techniques :
Ubudu platform is designed to scale in the cloud or on-premise to provide high scalability thanks to its horizontally scalable architecture and high performant micro-services :
Ubudu develops since 2013 its own firmwares which is fully parametrisable and provides some unique features in the market :
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Interested to see how the solution works ?
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Industries
Ubudu solutions are used in different industries to answer different needs such as operations' efficiency, asset traceability, worker safety, resource optimisation or even visitor experience.
Manufacturing & Logistics
Make your operations more efficient by optimizing operational flows and increasing visibility on production.
Quick Service Restaurant
Avoid time wasted by waiters searching for customers at their table and make your customer experience more seamless.
Healthcare
Make it easy for your staff to find equipment they need, reduce yearly expenditure on new equipment and improve patient satisfaction.
Construction
Optimize the usage of expensive machinery on-site and reduce the risk of accidents caused by collisions or hazardous zones.
UWB TDoA has the highest accuracy and can compute positions up to a 20-30 cm accuracy of thousands of tags simultaneously.
BLE frequency is 2.4GHz.
UWB supports 9 RF bands from 3.5 GHz to 9 GHz. We typically use channel 5 at 6.48 Mhz.
LoRa frequency for Europe is 868MHz.
Impulse radio UWB (Ultra Wide Band) outperforms other technologies because it is very short impulsions concentrate energy and are therefore more immune to multi-path and interferences that narrow band technologies such as BLE and Wifi.
Ubudu tags typically integrates an accelerometer or eventually even an IMU that can be used in conjunction with RF signals to estimate position of tags. In our mobile SDK we leverage all sensors from smartphones (GPS for outdoor, accelerometer, gyroscope, magnetometer, barometer). All sensors data and RF localisation techniques are fused with particle filtering algorithm methods (a set of Monte Carlo algorithms used to solve filtering problems arising in signal processing and Bayesian statistical inference).