Real-time 3D mapping and navigation capabilities with advanced object detection and avoidance are enabling AMRs to operate autonomously and safely in complex environments.

• Accurate object detection and recognition, capture detailed images and data about the surrounding environment.
• Help AMRs avoid collisions, improving safety and reducing downtime.
• Optimizes the path planning and routing of AMRs, reducing travel time and improving efficiency.
• Enable AMR to work in a variety of lighting conditions and environments, provide reliable and consistent performance and reduce downtime.

A depth camera enables Collaborative Robots (Cobot) to respond to human commands, gestures and interact safely with human intuitively.

• Accurate and precise object detection and tracking, enabling cobots to work safely and efficiently alongside human workers.
• Avoid collisions, improve working safety and improve workflow and efficiency.
• Detailed 3D models help optimize the placement and positioning of cobots and equipment, reduces the risk of damage components during operations.
• Real-time monitoring and analysis identifies inefficiencies allowing ongoing optimization of the process.

3D maps of indoor environments used in robotics and augmented reality applications are created using 3D cameras.

• Supports real-time 3D mapping and navigation, enables simultaneous localization and mapping (SLAM) in complex environments.
• Accurate object detection and recognition, improves navigation and positioning accuracy, reduces drift.
• Optimize the path planning and routing of robots, improves efficiency and reducing travel time.
• Supports feature extraction and loop closure detection and supports multiple camera views to improve map accuracy.