Marvelmind precise indoor positioning system is the world’s most precise commercially available indoor positioning system (IPS) for industrial and robotics applications. It provides typical ±2cm accuracy. See live performance.
It is a off-the-shelf ready-to-use indoor navigation system based on stationary ultrasonic beacons united by radio interface in license-free ISM band (915/868 MHz or 433MHz). See more in the Architectures comparison.
Autonomous delivery robot to deliver boxes from a warehouse to the assembly line within a car assembly plant:
Autonomous advertising robots rambling inside a shopping mall on a predefined path and attracting a crowd and advertising a local dining place.
Autonomous inspection robots in metro and tunnels.
Myriads of different university projects in autonomous robotics:
Inspection drones for warehouses, construction sites and bridges. Virtually any kind of drones with external GPS inputs in the GNSS-denied areas. PixHawk-based drones. Both ArduPilot and PX4 stacks are support:
Interactive museum exhibitions showing different multimedia content depending on the type (color) of the visitor’s badge – kids, general audience, professionals
Multi-floor people tracking for industrial applications
Tracking of forklifts in a warehouse to collect the real-time location data and to optimize routing and movements of the forklifts in order to increase productivity
Tracking of forklifts including their forks in 3D in order to find misplaced palettes inside a warehouse more quickly
Automatic job assigning to the nearest forklift based on the job and forklifts locations
Speeding (accidents) prevention
Tracking of forklift-like vehicles in an aluminum melting plant to measure the drivers adherence to the working procedures and overall response time in case of accidents
An excavator and a team of 15 workers. The task was to calculate the excavator’s productivity by measuring the amount of movements the excavator’s bucket made during the working shift. Another task was to increase safety by creating geo-fencing zone around the excavator warn workers in case of dangerous proximity with the moving parts of the excavator
Precise position measurement of a huge hook with 42-tonne carrying capacity inside a steel melting plant. Precise tracking of the hook in 3D + hook’s angle against a bridge crane and against the loading vehicles. The setup used for productivity and safety
Local RTLS in the GNSS denied areas for public parking authorities
Bus parking assistance for bus drivers and autonomous buses
Automatic docking station of boats in harbor – precise localization of connectors from the ground charging station to the boats’ mating part
Learn more about alternative RTLS solutions in our popular detailed presentation “Review and comparison of different indoor positioning technologies and methods with focus on industrial applications” in PDF.
If interested to learn even in more details, watch a detailed 90-minute YouTube explanatory video about different types of indoor positioning or indoor real-time location systems for industry, warehousing, intralogistics, construction sites, mining and underground.
Read more about Indoor “GPS”.
Superior accuracy is the key differentiator indoor. That level of accuracy is achievable only by very few commercially available technologies:
– RTK GPS – but GPS/GLONASS doesn’t work indoor and, as a result, RTK GPS doesn’t work indoor either
– LIDARs – but they are very costly, power hungry, bulky and suitable only for limited applications in AGVs or autonomous robots. LIDARs are not generally suitable for people or assets tracking or drones. LIDARs are very good for obstacle detection and avoidance, but have limited practical usability for RTLS in complex industrial environment
– Optical motion capture – but that works only in limited area and is very costly, because requires a dense network of expensive high-speed cameras, cable wiring and fast computers and is not really suitable for industrial applications
In practice, it means that if you need indoor tracking accuracy better than that in UWB, the only viable option is Marvelmind RTLS.
For comparison, ultra-wideband (UWB) systems give around 10-30 cm positioning accuracy, which is great per se and is usually sufficient for people tracking in industrial applications, but not sufficient for robots or drones. Marvelmind gives ~10 times better accuracy that UWB and is less expensive at the same time. See a comparison video.
For info, see our practical recommendations for UWB system planning.
If you need even better accuracy than UWB gives, check the article: What is more accurate than UWB?
Unlike the UWB technology that is designed for RTLS and that is using time-of-flight (ToF) to measure the distances and trilateration to calculate the position (like GPS does), BLE or WiFi systems are based on the radio signal strength (RSSI-based RTLS) to estimate the distance and are not designed for RTLS.
Their RTLS capability is just a nice by-product of the overall great wireless data transmission technologies. But the data transmission technologies are not necessarily great for indoor positioning or RTLS in general. Thus, BLE systems give modest 3-10 meter accuracy (WiFi is even less precise). That is 100 times worse than the Marvelmind indoor positioning system.
The only great benefit of BLE is that you don’t need to have a mobile beacon (tag) on the person. Your phone is the mobile beacon. Thus, BLE is good for guiding people in shopping malls, museums or airports.
BLE is not well suitable for industrial or warehouse applications, where you need accuracy better than room-level or you have a lot of metal, because the RSSI is hugely distorted by the moving metal (vehicles, palettes, shelves, etc.) and the accuracy of the position estimation degrades further.
Also, it is worth noting, that for assets tracking you need have a mobile beacon (tag) anyway attach to the assets. Thus, benefits of BLE vanish even more as compared with tracking of mobile phones.
Check more info on better alternatives to BLE solutions.