Little Ripper Life Saver | Innovation & Technology
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Shark Spotter

Shark detection using deep learning and artificial intelligence.

Professor Michael Blumenstein, from the University of Technology Sydney (UTS), is heading a team to develop an algorithm to automatically detect sharks from the video footage streamed from the Westpac Little Ripper Lifesaver UAVs.

 

The aim is to initially conduct shark detection in real time from the downlinked video from the UAVs and then to move to shark detection in real time on the UAVs themselves, with only detections downlinked to the UAV pilots and operators.

CrowdAR

Real time post-disaster assessment

Little Ripper Lifesaver is collaborating with the University of Southampton, UK, on their CrowdAR Real Time Video Analysis and Crowd Sourcing system for post disaster assessment.

 

The CrowdAR technology automatically analyses and augments live video footage using technology developed as part of the £5M ORCHID Project utilising multiple coordinated UAVs with a 24/7 operational capability.

LATAS

Low Altitude Traffic and Airspace Safety

Little Ripper is collaborating with US company PrecisionHawk to integrate their LATAS (Low Altitude Traffic and Airspace Safety) system.

 

The system operates over global cellular networks and satellites and connects leadings airspace management technologies for drone control and management.

Precision Autonomy

Monitoring and identifying UAVs while in flight

Little Ripper is also collaborating with an Australian and US based company Precision Autonomy, and trialling their system which provides a method of monitoring and identifying UAVs while in-flight as well as tracking their lifecycle operations and performance.

RealSense

Real time collision avoidance

Little Ripper Lifesaver with the assistance of Intel, will trial state-of-the-art collision avoidance technology and algorithms for UAVs.

 

Following Intel’s investment in German based Ascending Technologies, Intel’s RealSense cameras have been combined with Ascending Technologies’ auto pilot system to deliver a new level of UAV collision avoidance technology which is very important for BVLOS operations.

Imaging & Sensing

Providing industry leading aerial information

The Little Ripper Lifesaver UAVs will be equipped with state-of-the-art,high-fidelity imaging and sensing technologies.

 

Imaging and sensing payload devices deployed on the UAVs and being investigated by Little Ripper Lifesaver include electro-optical cameras, thermal and multispectral cameras, LiDAR photogrammetry and 3D mapping, and Hyperspectral imaging or imaging spectroscopy

LiDAR

Light Imaging, Detection and Ranging

High-definition LiDAR multi-spectral and photographic capabilities are utilised to collect georeferenced data that informs stakeholders through detailed digital elevation modelling and topographic contouring.

 

LiDAR can also be used to create 3D visualisations to identify and inspect, volumetric analysis, and flood risk and view-shed analysis

Got Something

That we need?

Little Ripper Lifesaver are always on the lookout to partner with new innovations that enable us to continue to lead in saving lives through the safe deployment of autonomous UAV’s