MODEX 2024: Slamcore launches Slamcore Aware for manually operated vehicles

Real-time edge computing designed for dynamic environments

Donald Halsing / PEERLESS MEDIA


Slamcore Aware showcased its new API and SDK package, combining stereo camera hardware with simultaneous localization and mapping (SLAM) software, at its booth at MODEX 2024.
Machine vision software provider Slamcore recently launched its Slamcore Aware hardware and software package, which enables real-time mapping in dynamic facilities.

Machine vision software provider Slamcore launched its Slamcore Aware system at MODEX 2024. The trade show was held March 11-14 at the Georgia World Congress Center in Atlanta, GA. 

Slamcore said its latest hardware and software package improves the accuracy, robustness, and scalability of 3D localization data for tracking intralogistics vehicles. Collecting and processing visual data, Slamcore Aware provides rich, real-time information on the exact position and orientation of manually driven vehicles. 

Slamcore said its new package is easy to commission and scales easily across large, complex, and ever-changing industrial and warehouse sites. Slamcore Aware is now available to pre-order. 

SDK and stereo cameras allow real-time facility mapping

Slamcore Aware combines the company’s software development kit (SDK) with industrial-grade hardware, which Slamcore said can provide an all-in-one solution for fast installation on intralogistics vehicles and seamless integration with new and existing real time location systems (RTLS). 

Incorporating Slamcore’s AI, Slamcore Aware perceives and classifies people and other vehicles. RTLS applications can use this data to improve operational efficiency and safety.

The new product uses visual-inertial simultaneous localization and mapping (SLAM) technologies developed for autonomous mobile robots (AMRs). By bringing this visual-spatial intelligence to manual vehicles, it provides estimation of location and orientation of important assets with centimeter-scale precision. 

Using stereo cameras and advanced algorithms, the Slamcore Aware module automatically calculates the location of the vehicle it is fitted to and then begins to create a map of the facility as the vehicle moves around. Changes to layout, position of vehicles, goods and people are automatically noted even in dynamic environments. 

Local “edge” visual data processing supports API

Slamcore Aware does not require installation of line-of-sight antennas throughout a facility. Instead,  Slamcore takes an inside-out approach that scales in line with the number of vehicles deployed, irrespective of the areas they must cover, or the complexity of internal layouts. 

As new vehicles are added to a fleet, an additional module can be fitted to each one so that every vehicle automatically and continuously determines its location wherever it is across the whole site. Visual spatial intelligence data is processed onboard each vehicle

Position and orientation data is shared via an application programming interface (API) for use in route planning, analytics, and optimization platforms. Slamcore said its new package allows RTLS to adapt and scale in ever-changing, complex intralogistics environments without compromising on performance. 

Owen Nicholson, CEO of Slamcore:

“Prospective customers tell us that they are looking for a fast-to-deploy and scalable method that will provide the location data they desperately need to optimize warehouse and factory intralogistics for speed and safety. Slamcore Aware marks a significant leap forward in intralogistics management bringing the power of visual spatial awareness to almost any vehicle in a way that is scalable and can cope with the highly dynamic and complex environments inside today’s factories and warehouses.”

Check out Robotics 24/7’s Tuesday MODEX 2024 recap for more photos from Slamcore’s booth.


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Donald Halsing / PEERLESS MEDIA

Slamcore Aware showcased its new API and SDK package, combining stereo camera hardware with simultaneous localization and mapping (SLAM) software, at its booth at MODEX 2024.


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