Field-Focused Insights with 3D Precision
Our 3D LiDAR solutions provide precise and real-time data to dramatically improve decision-making on-site. We resolve complex issues in the construction, logistics, safety, and automotive industries through advanced 3D insights.

Solutions
Advanced LiDAR technology paired with robust perception software. Discover Sense Field solutions.
Volume Monitoring
Volume measurement is a critical technique not only in logistics but also in construction, mining, and manufacturing sectors. This method helps optimize processes by ensuring precise calculation of space and material usage, essential for planning, cost estimation, and operational efficiency. Advanced technologies like LiDAR sensors provide accurate and reliable measurements, making them invaluable across various industries. These tools facilitate streamlined workflows, enhance safety by reducing the need for manual measurements in hazardous environments, and help in maintaining quality control during production and construction phases.
Anomaly Detection
Anomaly detection is a pivotal application of LiDAR technology, particularly in environments where traditional cameras may fail. LiDAR's ability to generate accurate 3D maps of its surroundings makes it exceptionally useful for identifying discrepancies or anomalies that deviate from normal patterns. This capability is increasingly applied across various sectors, including safety monitoring and security. The technology's robustness in low visibility conditions, such as fog, darkness, or dust, enhances its utility in critical applications where precision and reliability are paramount. By leveraging LiDAR for anomaly detection, industries can achieve higher levels of operational safety, secure environments, and proactive risk management.
Autonomous Driving Software Integration
Autonomous driving technology integrates advanced robotics and computer vision to enhance transportation systems, focusing on the development of software that enables vehicles to operate without human input. A significant aspect of this field is the reliance on open-source software (OSS), particularly within ecosystems like the Robot Operating System (ROS) and its successor ROS2. These platforms facilitate the global collaboration and sharing of software solutions, accelerating innovation and adoption of autonomous driving technologies.