Slide 1: Making Cities Smarter: Cities 4.0 Presentation
For personal use only Making Cities Smarter Cities 4.0 Presentation March 2018 ASX: SNS 1 MAKING CITIES SMARTER
Slide 2: Contrasting Evolution: Driverless Cars vs Manual Compliance
Contrasting Evolution While we are talking about driverless cars For personal use only we still have cities sending officers to streets to manually monitor compliance 2 MAKING CITIES SMARTER
Slide 3: Contrasting Evolution: World Map vs Manual Asset Surveys
Contrasting Evolution When we have entire world map at our finger tips For personal use only cities’ civil surveyors still going to streets to manually survey assets 3 MAKING CITIES SMARTER
Slide 4: Contrasting Evolution: Precise Tracking vs Video Wall Monitoring
Contrasting Evolution When technology can track every object with high precision For personal use only we have armies of people sitting behind a video wall watching streaming cameras 4 MAKING CITIES SMARTER
Slide 5: Much can be done with today's technology
For personal use only While we must have an eye on the future there is a lot that can be done with today’s technology to make cities more efficient and to deliver more bang for the buck for its citizens 5 5 MAKING CITIES SMARTER
Slide 6: Making City Operations Smarter
Making City Operations Smarter For personal use only MAKING CITIES SMARTER BY ADDING VALUE THROUGH MULTIPLE TOUCHPOINTS Facilities Traffic Engineering Security and Safety Parking Operations Management Operations Operations Operations Access Control Security Analytics Sign & Line Audits Footfall Occu
Slide 7: Spectrum of Smart Cities
Spectrum of Smart Cities For personal use only MEGA MINI MICRO CITIES CITIES CITIES SHOPPING PROVINCES AIRPORTS CENTRES, HOTELS SKI RESORTS, CITY CASINOS NATIONAL COUNCILS PARKS ART NATION UNIVERSITIES CENTRES, CITIES LIBRARIES 7 MAKING CITIES SMARTER
Slide 8: Artificial Intelligence Solutions
Artificial Intelligence Solutions For personal use only powered by Deep Learning networks can tap into smart infrastructure of smart cities to Make City Operations Smarter While this impacts every aspect of city operations, we will focus on Parking, Transit, Road Safety, Facilities, Security in this
Slide 9: Artificial Intelligence and Deep Learning
Artificial Intelligence and Deep Learning For personal use only
Slide 10: Artificial Intelligence (AI)
Artificial Intelligence (AI) For personal use only l AI involves machines that can perform tasks that are characteristic of human intelligence It includes things like planning, understanding language, recognizing objects and sounds, learning, and problem solving. l Examples in life Virtual Perso
Slide 11: Machine Learning (ML)
Machine Learning (ML) For personal use only l Machine learning is simply a way of achieving AI You can get AI without using machine learning, but this would require building millions of lines of codes with complex rules and decision-trees. l Machine Learning involves Training – collects thousand
Slide 12: Deep Learning (DL)
Deep Learning (DL) For personal use only l Deep learning is one of many approaches to machine learning. l DL contains multiple layers instead of 1 or 2, which created its name “deep”.
Slide 13: Making Parking Operations Smarter
Making Parking Operations Smarter For personal use only Detecting Mobile Parking Signs Parking Parking & Creating Guidance Enforcement Parking Zones 13 MAKING CITIES SMARTER
Slide 14: Making Road Safety Operations Smarter
Making Road Safety Operations Smarter For personal use only Making Making Illegal Speeding Unsafe parking Vehicle detection Detection and Smarter enforcement Smarter 14 MAKING CITIES SMARTER
Slide 15: Making Security Operations Smarter
Making Security Operations Smarter For personal use only Overstay Vehicles and Armed Unattended Offender Object Detection detection 15 MAKING CITIES SMARTER
Slide 16: Smart Cities must also be about Smart Operations
For personal use only Smart Cities should not just be about Smart Infrastructure It must also be about Smart Operations There is a lot to be gained by focusing inwardly at Smart City Operations to become more efficient and deliver more value for the rates communities pay 16 16 MAKING CITIES SMARTER
Slide 17: Industry Recognition
INDUSTRY RECOGNITION For personal use only 2017 Merit Recipient – 2018 Global Smart 50 Award Foundation Partner, Automated Asset Winner – Intelligent Video Analytics NVIDIA Metropolis Partner Program Mapping Solution 17 MAKING CITIES SMARTER
Slide 18: For personal use only
For personal use only Subhash Challa | CEO David Smith | Executive Director Tim Dohrmann | Investor Relations subhash@sensennetworks.com dsmith@sensennetworks.com tim@nwrcommunications.com.au +61 409 082 952 +61 414 239 84 +61 468 420 846 Unit 4, 71 Victoria Crescent, Abbotsford, Suite 1404, 3 Sprin