Sensor Fusion Optimisation for Health Security and Fire Safety Using Intelligence at The Edge

#edge #computing; #Machine #learning; #smart #sensors; #TinyOs
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Engineers are problem solvers looking for breakthrough solutions. Sensors have been used to deliver process performance data in almost every vertical market. Sensors are being developed regularly to collect data from many different applications making data science an incredibly in-demand pursuit. Few realise that the overwhelming growth in sensors, data and analysis requires expensive resources to manage, cleaning & store for analysis. The existing infrastructure is straining to a point snapsots (truncated data) is used because real time data is difficult to get, essential for real time operations. This presentation will show how TinyML, a machine learning solution at the edge, has successfully overcome most of these issues very efficiently and effectively. The presenter will explain the technology and take the audience through several examples backed by analytic data.



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  • Date: 24 May 2022
  • Time: 05:30 AM UTC to 06:30 AM UTC
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  • Sydney, New South Wales
  • Australia 2109

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  • Co-sponsored by Prof. Subhas Mukhopadhyay


  Speakers

Mr. Ollencio R. J. D'Souza

Topic:

Sensor Fusion Optimisation for Health Security and Fire Safety Using Intelligence at The Edge

Engineers are problem solvers looking for breakthrough solutions. Sensors have been used to deliver process performance data in almost every vertical market. Sensors are being developed regularly to collect data from many different applications making data science an incredibly in-demand pursuit. Few realise that the overwhelming growth in sensors, data and analysis requires expensive resources to manage, cleaning & store for analysis. The existing infrastructure is straining to a point snapsots (truncated data) is used because real time data is difficult to get, essential for real time operations. This presentation will show how TinyML, a machine learning solution at the edge, has successfully overcome most of these issues very efficiently and effectively. The presenter will explain the technology and take the audience through several examples backed by analytic data.

Biography:

IEEE Life Member. Widely Travelled on behalf of several multinationals I worked for to their regional offices and factories. I am a Hands-on-Manager, Leader, Engineer (B.E. Electronics and Telecommunications), Manager (Master's in Operations Management MGSM), Intrapreneur (corporate in house entrepreneur) - who enjoys deploying technology, new developments, innovation and groundbreaking events. With two co-patents and several innovative designs converted into working projects such as the Ferry Wharves Passenger Safety System. He savours the pleasures of practical, creative & successful solutions. Worked for several Multinationals like Philips, Sony, Vicon, Chubb, UTC, etc. Seeks constant food for thought, stimulated by the membership of esteemed organisations like the IEEE and participation in committees that set trends and provide thought leadership, such as Standards Associations and User Groups, make it an exciting life. Working towards a PhD formally. Presently developing in house solutions using core OEM PSIM and Video & Audio Analytic Technology. In the end it is a close family that keeps you firmly on the ground because they only appreciate and do not want to see beyond, the real you.