The Problem
Workplaces are demanding for smarter automation. Traditionally, creating accurate 3D models and Digital Twins to enable accurate spatial mapping is a process that is:
- Expensive: Requires specialised hardware (such as very expensive professional LiDAR scanners).
- Slow: Requires hours of manual labour for post-processing and data cleaning.
- Complex: Requires advanced technical skills (photogrammetry experts or 3D modellers).
- Not scalable: It is difficult to create thousands of 3D assets for e-commerce or monitor large construction sites on a daily basis using traditional methods.
The Solution:
Luxolis offers an integrated solution for industrial automation that combines 3D artificial vision, industrial robots and a digital platform for data connection and analysis.
3D Vision technology allows robots to “see” and understand their surroundings, identifying objects and features, reconstructing space in 3D and performing accurate quality inspections in real time. These capabilities are applied to high-precision industrial robots, including Cartesian, gantry and cobot systems, which can be used in various sectors such as manufacturing, food tech and logistics for assembly, handling, pick-and-place and packaging activities. The system is complemented by a digital platform that allows access to data anywhere, monitoring robot performance and obtaining continuous insights for process optimisation, promoting data-driven decisions and continuous improvement of operations.
Additionally, the O-Hive platform can also be used to capture any space with a photo, video, or 3D scan, and the AI Assistant instantly detects objects and auto-generates annotated tags and comments for each item. O-Hive helps structure projects, analyze data and assign tasks. This allows useful information to be quickly obtained from disparate sources.
These solutions address the problem in the following way:
- Accessibility: They enable the generation of high-quality 3D models from simple photos or videos captured with smartphones or drones (using artificial intelligence and computer vision).
- Automation (AI-Driven): They drastically reduce processing times thanks to proprietary algorithms that automatically transform 2D data into 3D point clouds and textured meshes.
- Efficiency: They improve efficiency and industrial automation by combining precision robots with real time insights to continuously optimise and improve performances.
- Collaboration: O-Hive acts as an ecosystem for managing, visualising and sharing this spatial data, bridging the gap between data capture and its practical use in business.
Target Markets:
- AEC (Architecture, Engineering, Construction): Monitoring progress on construction sites.
- E-commerce: Creation of 3D assets for augmented reality (AR) to allow customers to visualise products.
- Real Estate: Virtual tours and accurate 3D floor plans.