XenomatiX, ASAsense Collaborate on Infrastructure Management Solutions

LEUVEN, Belgium, Oct. 24, 2024 — Solid state lidar technology developer XenomatiX has entered into a collaboration with cloud-based sound recognition technologies company ASAsense to combine the companies’ portfolios for infrastructure management solutions. The collaboration will leverage technologies including edge AI, lidar, and sound and vibration analysis for comprehensive detection and localization solutions for pavement inspection, infrastructure digitization, soundscape monitoring, object classification, event detection, and source localization. The collaboration will operate under the name “XenomatiX Group”.

XenomatiX’s lidar technology is currently used in mobile mapping, automotive, and industrial sensing. According to Thomas Weyn, CEO of ASAsense, the collaborating companies are now poised to advance in the rapidly growing digital twin market and extend their international reach.

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Published: October 2024

Glossary

lidar: Lidar, short for light detection and ranging, is a remote sensing technology that uses laser light to measure distances and generate precise, three-dimensional information about the shape and characteristics of objects and surfaces. Lidar systems typically consist of a laser scanner, a GPS receiver, and an inertial measurement unit (IMU), all integrated into a single system. Here is how lidar works: Laser emission: A laser emits laser pulses, often in the form of rapid and repetitive laser...
edge ai: Edge AI, also known as edge artificial intelligence, refers to the deployment of artificial intelligence (AI) algorithms and models directly on edge devices, such as smartphones, sensors, IoT devices, and embedded systems, rather than relying solely on centralized cloud computing resources. On-device processing: Edge AI involves running AI algorithms and models directly on edge devices, enabling real-time data processing and decision-making without requiring data to be sent to a...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...