Asset tracking and management for pharmaceutical, life sciences & healthcare
Navenio transforms asset use optimization, validation, and calibration for on-time compliance increasing workforce productivity while lowering costs
World-class science behind our infrastructure-free technology
Navenio’s Intelligent Workforce Solution is created from World-class University of Oxford Science. Using only a smartphone’s sensors, the fusion of core technologies creates a highly scalable indoor location, providing actional insight immediately – which in turn feeds Navenio’s advanced scheduling AI for optimum performance.
Crowdsourced Auto Mapping
Self-Learnt Ambient Signal Map
Award Winning Motion Tracking
Advanced Scheduling Algorithms
Robust Sensor Fusion Algorithms
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Robust odometry across critical mobile assets ,people and vehicles
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Uses IMU data from a smartphone’s sensors for navigation
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PDR algorithms adjust for the different ways a smartphone is held and overcome sensor noise to derive accurate user movement
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Deep learning based pose estimation can use inertial data only (acceleration and gyroscope) for continuous asset tracking – e.g. for motion estimation
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In environments where both inertial and camera data are available, deep learning visual inertial odometry approaches offer low drift odometry for vehicles and robots, as well as for people using VR/AR applications
AI-Powered Motion Tracking
Award-Winning Map Matching
Indoor-Outdoor Detection
Multi-Floor Localization
3D Localization Without Maps
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Experience maps are built via crowdsourcing users’ movements using inertial, pressure, Wi-Fi, BLE and GPS data
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Using a Wi-Fi or BLE scan, Navenio’s technology can detect the 3D location of a user on an experience map
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Patented map matching algorithms constrain a user’s odometry to the features of the map
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Works with noisy trajectories and floorplans where changes may have occurred
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Uses a fusion of inertial, GPS and Wi-Fi data to accurately detect the time/ place of entry and exit into a building
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Algorithms work when we do or do not have knowledge of the location of entry/exit points
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Algorithms can localise assets and people across multiple floors without prior knowledge of floor change transitions
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Using pressure, inertial and signal-map data, Navenio’s technology identifies floor change transitions and what floor an asset or user is moving to
