How Slamcore makes it happen
PositionWhere am I?
Robust, computationally efficient, ROS and C++ compatible localization, for high performance even on low-cost hardware.
- Accurate positioning, indoors and outdoors even in the largest warehouse – right down to centimeters.
- Shared coordinate system across your entire fleet that stays accurate every day, even when the layout or lighting changes.
- Ground plane detection means positions are always grounded in reality.
MapWhat’s around me?
Because maps are produced in real-time in a computationally efficient manner, memory used is managed and stays bounded even as larger environments are mapped.
- Choose from 2D, 2.5D and 3D representations of occupied and unoccupied space.
- Define the resolution of your maps to balance detail with memory requirements.
- Advanced obstacle detection – even at height.
PerceiveWhat are the objects around me?
Slamcore uses deep learning to help robots, consumer products and drones identify objects and people around them.
- Dynamic object detection improves overall performance, even when the world gets chaotic.
- Easily remove or ignore specific objects from the user map to cut down on the digital clutter.
- Object level positioning and mapping means you always know what and where things are around you.
High quality intelligence
Efficient positioning and mapping intelligence that works in real time on low-cost sensors and hardware, using less power – without compromising performance.
Reliable and trusted
Millions of meters covered, trusted by some of the world’s biggest tech companies, tested over thousands of hours, and designed by experts focussed on one goal.
Faster than the rest
Unleash speeds up to three times faster than open-source alternatives in benchmarking tests, with reduced processor use, and minimal load and memory usage.
Made for the real world
Tuned for dynamic real-world environments and to operate at scale. From warehousing to weather reporting, trust our software in the most unpredictable environments.
Check the specs
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