FARNESS
FARNESS
Identification of surrounding elements
Leverage the spatial precision of LiDAR to detect objects with high accuracy in 3D environments. Our software interprets Doppler and point cloud data to distinguish between static and dynamic objects in real time, a crucial feature for autonomous vehicles, drones, and robotics.
Understand what the system sees
Beyond detection, our LiDAR processing software integrates machine learning to classify objects based on shape, motion, and reflectivity patterns. This enables autonomous systems to differentiate between pedestrians, vehicles, obstacles, and infrastructure with high confidence.
Accurate tracking of detected objects in motion
Track the precise position, velocity, and trajectory of each detected object within the environment. By analyzing Doppler data and point cloud shifts over time, our solution enables dynamic scene understanding for navigation, avoidance, or targeting applications.
Intrusion detection powered by LiDAR
Deploy LiDAR to secure sensitive areas with wide-field, real-time 3D scanning. Our solution detects intrusions, classifies threats, and tracks movement along fences or restricted zones with centimeter-level precision — ideal for industrial sites, energy facilities, or remote infrastructure.
Gain real-time, 360° environmental understanding through precise 3D object detection, classification, and motion tracking — even in complex or dynamic settings.
Operate reliably in tunnels, indoor areas, or remote zones thanks to LiDAR-based perception that doesn’t depend on satellite signals.
Enable smarter navigation, obstacle avoidance, and intrusion detection with rich spatial data that supports autonomous decision-making and threat response.
Deploy LiDAR-based intelligence on a wide range of systems — from drones and ground robots to industrial facilities — with modular software that integrates easily via ROS or custom APIs.