TECH OFFERS

With the prevalence of Internet of Things (IoTs), urban cities have evolved into Smart Cities, where information is constantly collected and fed into the cloud. Hence, there is a need for a smart grid system that can analyse these data and use it to provide real-time or predictive assistance to citizens and businesses to improve quality of life. This technology offer is a highly customisable AI system for real-time monitoring, anomaly detection and predictive maintenance. The AI is able to provide real-time monitoring of desired systems from distribution networks (power, water, and gas) to other applications such as fibre optics cable monitoring. This monitoring system includes an automated detection and localisation of network anomalies and defects based on incoming sensor data. Using data-driven forecast, it is able to provide insights for predictive maintenance and minimise the disruption of the monitored system. The use of this technology is suitable for other cases such as route optimisation, smart mobility and CO2 forecasting. The technology owner is interested in pilot projects, R&D collaboration as well as to license this technology.

Direct visual SLAM is the state of the art in 3D computer vision. As compared to traditional feature-based SLAM, this Direct Sparse Odometry approach works reliably in featureless, repetitive and complex outdoor environments. The technology offer presents a software that adopts direct visual SLAM. It can turn 2D images from off-the-shelf cameras into a precise understanding of the position and 3D environment, thereby enabling accurate, robust and safe navigation of autonomous robots or advanced spatial intelligence applications. Additionally, it does not require expensive systems, such as LiDARs, and is more independent and reliable than Global Navigation Satellite System (GNSS) or HD maps. Besides cameras, the input from IMUs, GNSS, wheel odometry or LiDAR may be optionally fused for increased reliability or to address edge cases of particular applications.