Sensorem provides expert asset inspection and digitisation services using advanced drone technology and remote sensing. Our high-tech drones, including the Drone-in-a-Box, conduct safe and efficient inspections of infrastructure, reducing the need for manual inspections. We also specialise in asset digitisation, creating detailed 3D models and digital twins through meticulous data capture and processing. These services offer real-time data analysis, proactive maintenance insights, and comprehensive asset management, enhancing safety, operational efficiency, and asset longevity.
Asset Inspection
Sensorem specialises in comprehensive asset inspection services utilising cutting-edge drone and remote sensing technologies. Our advanced drone fleet (including Drone-in-a-Box), equipped with high-resolution cameras and sensors, performs detailed inspections of infrastructure, including bridges, towers, pipelines, and more. The use of drones allows for safe, efficient, and thorough assessments of hard-to-reach areas, minimising the need for costly and hazardous manual inspections. We provide real-time data collection and analysis, ensuring prompt identification of potential issues and facilitating proactive maintenance strategies. This results in increased safety, reduced downtime, and extended asset lifespans for our clients.
Asset Digitisation
Leveraging the latest advancements in drone technology, imagery, and laser scanning LiDAR, Sensorem excels in asset digitisation. Our process begins with meticulous planning and data capture using state-of-the-art drones and ground-based laser scanners. The collected data is then processed with powerful computer systems and advanced software, creating detailed 3D models and digital twins of physical assets. These digital representations provide precise measurements and comprehensive visualisations, enabling accurate monitoring, analysis, and management of assets over time. Sensorem’s asset digitisation services empower clients with actionable insights, enhancing decision-making and operational efficiency.