The Barangaroo development project is completing the sweep of experiences along the Sydney CBD western waterfront and involves the construction of a number of landmark towers and structures.

A comprehensive and integrated real-time monitoring system was installed to monitor the foundation excavation and construction. Due to the heavily polluted ground material, all instruments were automated with wireless real-time dataloggers, to reduce man-power on site, and streamline data collection and reporting.

The Brunt Road Level Crossing Removal Project involves building a new road bridge over the rail line at Brunt Road in Beaconsfield. Removing this crossing will improve safety, reduce congestion, and allow more trains to run more often.

Sixense has implemented a settlement monitoring system for the road embankment at six locations, aiming to assess and manage potential embankment movements, especially in high-risk areas. The goal is to verify unexpected ground movement, enhancing overall safety and stability. Additionally, Sixense offered a rental for five weeks: the Syscom Rock Vibration meter.

Bunbury Outer Ring Road (BORR) is a 27-kilometre section of highway connecting Forrest Highway to Bussell Highway. By constructing BORR, the goal is to establish an alternative route around Bunbury, effectively segregating local and regional traffic.

Sixense has provided and installed a range of instrumentation at the embankment sites. Some sensors were equipped with dataloggers for real-time data transfer, while others required manual reading.

The Ciel Residential Tower in Dubai is a supertall skyscraper planned for the Dubai Marina. It is situated directly adjacent to the world-famous Cayan Tower on the north side of the Marina. Planned to be a 76‐floor high-end residential tower, the Ciel Tower will become a local landmark.

Sixense is performing the monitoring of the site to enhance safety, provide data for the verification of the initial design, and ensure that the tolerances associated with various structures/elements within the zone of influence are not exceeded.

The Darlington Upgrade Project, part of South Australia's ambitious North-South Corridor initiative, is transforming approximately 3.3 km of Main South Road. This significant redevelopment aims to enhance the region through reduced travel times and increased freight transport efficiency.

At Sixense, we have been instrumental in providing sophisticated monitoring solutions for a segment of this project. Our role involved delivering an array of monitoring sensors and a data acquisition system, encompassing tiltmeters and Cyclops ATS products. These were deployed by our clients on the ground, with our experts offering remote assistance for seamless installation and operation.

Further enriching our monitoring capabilities, we conducted an Atlas-InSAR satellite radar interferometry study over an expanse of around 3.4 km². This advanced technique allowed us to meticulously track deformation across the project area, enabling the collection of vital data on background movements and settlements.

The new Sydney Fish Market is set to be a magnificent display for the seafood industry, revitalising the beloved icon while maintaining its authentic charm. It aims to create a world-class piece of architecture that will attract both locals and global visitors, showcasing the region's fresh seafood and the city's beauty to the world.

In order to build the market over Blackwattle Bay, two hectares of seabed were exposed by pumping millions of litres from a temporary water-tight cofferdam designed to hold up to 5 meters of water.

The cofferdam played a vital role in ensuring the project's safety and to maintain its effectiveness, Sixense Oceania was engaged to provide and install the monitoring system.

The project involves construction of a new bridge over an existing rail line in the south-east of Melbourne, to improve local road connectivity, provide better access to the freeway network, and reduce travel times for local businesses.

On either side of the bridge, earth embankments are constructed to support the roadway and elevate it prior to crossing the rail line. The roadway and bridge are designed to operate within strict tolerances of movement, therefore the settlement of the soil underneath the embankments requires monitoring to ensure it compresses as anticipated by design.

Sixense Oceania has provided a settlement monitoring system for the road embankment to validate any unforeseen ground movements, thereby improving the overall safety and stability of the project.

To protect Quay Street in downtown Auckland, seismic strengthening of the 100-year-old seawall is needed to secure the area for the next 100 years. Without the Seawall, significant parts of downtown would be under water.

The Quay Street construction site has noise limits set at low levels due to many hotels operating in the area, especially when night-time works are required. The solution that has been deployed is NOVIA, a machine learning sound recognition algorithm for noise management developed by SIXENSE.

The South Gippsland Highway project involves the realignment of a 3.4km section of highway in Koonwarra to avoid several existing low speed curves and steep grades, along with two new bridges and an underpass.

Sixense has supplied and installed geotechnical sensors, including inclinometers, piezometers and extensometers, to monitor earthwork foundations for the new highway construction. Due to the remote location of the project, all sensors are automated, with wireless data transfer to Sixense servers.

The Sydney Opera House Western Waterproofing and Pavement Restoration Project involves the demolition of the existing pavement, the addition of a waterproof layer, and the installation of a new pavement around the Opera House. These actions are essential to address water penetration issues from the Western Forecourt to the Lower Concourse.

The project's central location raises concerns about vibrations impacting surrounding buildings and the need to ensure human comfort. To address this, Nora, an advanced artificial intelligence system, has been implemented to precisely identify and categorize sources of noise exceedances at the construction site, delivering automated and real-time information.