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ATLAS leverages the growing capabilities of artificial intelligence to transcend the boundaries of traditional extended reality (XR) systems.
Built on the ATLAS platform’s scalable infrastructure, it empowers businesses to streamline inspections, reduce errors, and enhance training with unparalleled accuracy and seamless third-party integration.
Eliminate manual errors with intuitive AR-guided overlays. ATLAS Inspection and Maintenance delivers millimeter-level precision, aligning virtual instructions with physical components for seamless maintenance and troubleshooting experiences.
ATLAS can automatically detect the addition of foreign or missing objects, as well as identify potential defect areas for further inspection.
Gridraster Digital Twin automatically extract (segment) objects of interest from a large area scan and achieve XR-ready content in minutes.
Transform maintenance with step-by-step AR guidance. ATLAS provides contextual instructions and 3D visualizations, guiding novices through complex tasks—such as wiring harness installations—with expert-level precision.
ATLAS integrates effortlessly with third-party systems, ensuring cohesive workflows. Compatible with existing PLM and enterprise systems, it maximizes efficiency while maintaining robust cybersecurity and DevSecOps compliance.
Millimeter-level precision for flawless virtual and real-world integration.
Seamless integration with third-party systems and existing infrastructure.
Advanced AI algorithms for object recognition, scene understanding, and automatic segmentation.
Leveraging scalable computing infrastructure for optimized performance.
Maintaining complex equipment requires constant vigilance. A single misplaced component can have cascading consequences.
GridRaster’s AI-powered Dynamic XR extends the power of digital twin by intelligently comparing the captured data to a reference digital twin. Reference data could be generated during a previous scan, or based on design/engineering source data.
Discrepancies are instantly highlighted – such a missing or misplaced module, or a wire routed incorrectly – immediately alerting manufacturing or maintenance technicians to potential issues.
Similar to misplaced components, another common (yet critical) use case is the detection of missing fasteners. GridRaster’s AI-powered Dynamic XR is equally capable of quickly identifying missing bolts.
Upon completion of a manufacturing or maintenance workflow, the work example is scanned with an inexpensive lidar-enabled device (smartphone or tablet), and is analyzed by GridRaster’s AI-enabled Dynamic XR.
GridRaster compares the live scan data with reference data, and spatially marks the missing bolts in XR, empowering technicians to take action and reducing overall error rate.
GridRaster Digital Twin leverages cutting-edge technology to provide real-time sensor data streaming, revolutionizing the way industries manage their assets.
At the core of this innovation is high-resolution “sensor” data streaming (for example, scanners) combined with algorithms that enable precise localization, mapping, and visualization of practical data and metadata.
A critical use case is defect mapping. By integrating the scanning sensor data seamlessly into GridRaster Digital Twin, users are empowered to gain unparalleled insights into the real-time condition of their assets long their life cycle. Applications include monitoring infrastructure integrity, optimizing maintenance schedules, or facilitating rapid response to defects.
GridRaster Digital Twin sets a new standard for asset management efficiency and effectiveness.
