Maris-Tech confirms customers signing up for Jupiter Drones codec and AI-powered system
Launched at AUSA in October, the company’s multi-stream video codec is attempting to bring a new lease of life to drone technology through its AI accelerator.
Ainstein has launched the K-79 autonomous vehicle imaging radar sensor, which produces high-resolution, detailed point cloud of a vehicle’s surroundings for both moving and stationary objects, the company announced on 14 January.
The sensor is optimised for autonomous operation of self-driving industrial trucks, tractors and similar specialty vehicles in hazardous conditions such as low-light and extreme dust.
The K-79 can identify the location of objects and provide range, speed, azimuth and elevation information. It can create a 2D point cloud map of surroundings and is capable of producing 3D images of detected objects, offering LiDAR-like image quality in poor conditions. It also allows for target classification to differentiate between vehicles and pedestrians.
A custom K-79-based sensing solution is currently being piloted by an organisation to automate mining excavation and material removal.
Launched at AUSA in October, the company’s multi-stream video codec is attempting to bring a new lease of life to drone technology through its AI accelerator.
Quantum-Systems has been upgrading its UAS family, with new versions of the Vector, Reliant and Twister drones set for release throughout 2025.
The service has been using a Directed Requirement (DR) approach to speed up the deployment of a Medium Range Reconnaissance capability.
AeroVironment’s portfolio will grow thanks to the eVTOL P550 aimed at battalion-level tactical forces.
The Royal Australian Air Force is advancing its unmanned aerial vehicle (UAV) capabilities across three key programmes as it works with the likes of Boeing and Northrop Grumman to reshape Australia’s defence strategy.
Prototypes from Griffon Aerospace and Textron Systems recently passed through MOSA conformance trials and flight tests.