The Smart Sensing, Coding, and Analytics (SmaSCA) Lab aims to fill the gap in multimedia signal processing research at Deakin University. Super-reality 3D digital environment with new multimedia sensing modalities (e.g., hyperspectral and LiDAR imaging) is one of the fundamental technologies aiding the Fourth Industrial Revolution (Industry 4.0) through automation (autonomous vehicles and advanced manufacturing), information superhighway (ultra compression and coding for machines), virtual presence (remote healthcare and training), and smart living (resource conservation and environment monitoring with smart sensing). Research in the SmaSCA Lab focuses on these emerging areas by consolidating our existing expertise in Internet-of-Things (IoT), image processing, and machine learning research. By affiliating with the CITECORE, D2i, and CS3 research centres, the SmaSCA Lab also aims to provision effective inter-centre collaboration, especially by complimenting research in the IoT Platforms and Applications Lab at CITECORE, the Machine Intelligence and Data Analytics Labs at D2i, and the Emerging and Education Tech Innovation Lab at CS3.

News

02/10/2023 Professor Manzur Murshed has secured a grant with the ​​​​​​​Department of Environment, Land, Water and Planning.

Project Summary: Serrated tussock is a major weed in the Western Grasslands Reserve (WGR), which is a 15,000 ha reserve on the urban fringe of Melbourne that is within BAS’ serrated tussock containment area. A key vegetation community that the WGR seeks to protect is Natural Temperate Grassland, which is threatened by serrated tussock and a range of other invasive weeds. This project aims to develop tools with novel image processing and machine learning techniques to characterize Victorian grassland communities and target invasive weed species at landscape and paddock scales, leveraging a suite of readily available remotely sensed imagery.

Research themes

Members of the SmaSCA Lab carry out both basic and applied research in the following (but not limited to) themes:

• Multimedia sensing (RGB, multi-view, hyperspectral, and point cloud imaging)

• Smart multimedia analytics (3D scene understanding, autonomous machines, and data-driven dynamic modelling)

• Multimedia signal processing (data compression, storage, and transmission)

• Remote sensing (health and environment analytics)

• Smart living (smart home and smart city)