SenSen Networks. Making Cities Smarter. Dr. Subhash Challa, Founder & CEO

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1 SenSen Networks Making Cities Smarter Dr. Subhash Challa, Founder & CEO

2 Citizens of smart cities navigate smarter, park smarter, run their businesses smarter, use energy and utilities smarter. A smart city is a city that is smart at all scales in an integrated & unified way Smart Cities have smart universities, smart roads, smart gaming venues and more and help citizens in an integrated & holistic way

3 Smart Cities & Fractals A fractal is a natural phenomenon that exhibits a repeating pattern that displays at every scale. Cities City Councils Micro Cities Airports Communities Casinos Universities Transit Hubs e.g., Rail Stations Shopping Centres

4 Smart Cities & Fractals A fractal is a natural phenomenon that exhibits a repeating pattern that displays at every scale. Cities City Council Safety, Security, Customer Analytics, Parking Micro Cities Airports Safety, Security, Customer Analytics, Parking Communities Casinos Safety, Security, Customer Analytics, Parking Universities Safety, Security, Customer Analytics, Parking Transit Hubs e.g., Rail Stations Safety, Security, Customer Behavior Analytics, Parking Shopping Centres Safety, Security, Customer Behavior Analytics, Parking

5 SenSen Strategy to realise The Smart City Vision By making all aspects of smart city at all scales to be smart. i.e., smarter parking, smarter gaming, smarter retail, smarter security and implementing it at all scales

6 Smart Cities Powered by SenSen Melbourne, Australia Crown Casino, Melbourne Customer Analytics VIC Roads Road Safety Melbourne City Council Pedestrian traffic Flow

7 Smart Cities Powered by SenSen Sydney, Australia NSW Crime Commission Intelligence Operations Manly City Council Parking Enforcement and Officer Safety RMS Road Safety Solutions Sydney Ferries Capacity Utilization and Planning

8 Smart Cities Powered by SenSen Singapore Land Traffic Authority (LTA) Singapore Police

9 Smart Cities Powered by SenSen Abu Dhabi, UAE Abu Dhabi Airport International Petroleum Investment Corporation (IPIC)

10 MAKING PARKING SMARTER CITIZEN PERSPECTIVE

11 MAKING PARKING SMARTER CITY PERSPECTIVE

12 MAKING GAMING SMARTER

13 MAKING TRANSIT SMARTER

14 Smart city solutions need an IOT platform that can scale from communities to connected Mega cities and meet the requirements in a unified and integrated way SenSen has developed such a platform using NVIDIA GPUs over the last 7 years SenDISA SenSen s Distributed Intelligent Sensor Analytics Platform

15 SenDISA Platform Objectives Collect Sensor data Drive Big Data Applications Analyse the data in real time Integrate with Enterprise IT Data Warehouses, Business Intelligence Tools Combine it with other information sources Control sensors and devices to generate better data and/or automated alarms and other enterprise automation systems

16 Sensor Data Acquisition & Actuator Drivers REST API, SQL, SOAP, JSON, File Exchange Video Tyco IP Cameras Digital Cameras The SenDISA Platform Data Acquisition from Multiple Sensors & API Integration to Multiple Enterprise IT Systems Law Enforcement Solutions Schweers itree Android Phones Integrated Colour/ANPR Cameras Integrated Colour/Thermal Cameras Time of Flight Cameras Webapp Dashboards & Reports Web Services Security & Access Control CNL PSIM RBH Genetec Gait Sensors Body Cams Wifi Wearable Devises AGD Radar SICK Laser GPS Backend Real Time Video & Sensor Analytics Event Handler JMS Database PostGres Automated Payment Systems Milestone Mt. Baw-Baw Back Office Park & Fly Payment Data Cubic Bluetooth Wireless Sensors Temp, Humidity etc Traffic Lights Alarms Meshlium Gateway Pan-Tilt Controls Camera Controls Zoom, Shutter, Aperture Illumination Control Relays Business Rules, GIS, Point of Sale & Other Business Transaction Data Business Analytics Systems Toll Applications TanGam Thales - Sydney Ferries E-connect Streetline Thales Tolling Watchdata

17 Backend = Network Edge Parking Bay Occupancy Detection Casino Bet Detection Over Crowding Detection Bi-Directional People Counting Gigabytes of streaming video and other sensor data Backend Backend can detect any subset of these events on many video and other sensor sources simultaneously Vehicle Violation Detection combining, video, radar, GPS & GIS Traffic Incidence Detection Heavy Vehicle Detection and Control of traffic signals Dynamic Control of Camera sensor s exposure and shutter speed long with illumination for variable license plate reflectivity situations Dwell time estimation, Queue length estimation using 3D Time of flight sensors Fusion of colour, IR and thermal cameras for high accuracy incidence and violation detection Face Detection and Gender Classification Anomaly Detection and more

18 Backend Computing Platform EFFICIENT Uses massively parallel SIMD NVIDIA CUDA GPGPUs LOW COST Ordinary PC, totally hardware agnostic RELIABLE Mean time between failures 3 months + FAST Many-channel realtime, 100s FPS SCALE Mass produced consumer & gaming market equipment Backend RAPID DEVELOPMENT Fast deployment of latest algorithms thanks to CUDA and Sensen platform FLEXIBLE One software platform can do any combination of analytics RESPONSIVE Well structured API, can easily add or modify image processing

19 Backend Foundations GPGPU based architecture Riding on Multi $B Gaming Industry Investment Accelerating in processor speed, Memory Product Dev. cycle Low Cost Generic Hardware CPU + GPGPU Architecture Riding on Multi $M Proprietary Hardware and Embedded Code Development Investment Stagnating in processor speed, Memory Product Dev. Cycle High Cost Proprietary Hardware CPU + DSP Architecture Copyright SenSen Networks Pvt Ltd

20 Latest from NVIDIA Copyright SenSen Networks Pvt Ltd

21 SenDISA Software Stack Investigation Configuration Web Browser Web Server Database Presentation Intelligence Context Event Handler Events Alerts Backend Video, Sensors, Control

22 New JMS based Architecture Backend Adapter MQ Events 3 rd Party App Settings MQ Event Handler MQ Ev. Notif. MQ Backend Adapter MQ Events Settings Alerter MQ MQ Webapp Alert Notif. MQ Database File Store

23 SenDISA Objectives Sense Drive Big Data Applications Analyse Integrate with Enterprise IT Data Warehouses, Business Intelligence Tools Fuse Control

24 SenDISA Open Sensor Analytics Platform Analysis Sensing Support all popular standards for sensors by building a rich API so any type of sensor device can be supported for seamless integration Provide an open, well documented, standard design patterns for addition and management of new IoT analytics modules and enable third parties to write and further enhance the IoT analytics software that comes as standard in the SenDISA platform Control Support all popular standards for actuators Enterprise Integration Build a well documented RESTful API and make it more standards driven platform for seamless integration in Enterprise IT systems Big data analytics Apply some of the algorithms developed and develop new algorithms to support Big Data Applications. Cloud Readiness Move from using self hosted/managed servers for sensor processing to a cloud platform. Enhance SenDISA to become an Enterprise platform to support private and public cloud models.

25 SenDISA Open PLATFORM SenSen s Distributed Intelligent Sensor Analytics Platform Casino Player Behaviour Intelligent Transport Services Security & Facilities Management Consumer Business Analytics Parking Management SenSen s Flagship customers

26 The Team Behind SenDISA SenSen was founded in 2007 as a spinout from the University of Technology Sydney. SenSen is active in Australia, USA, UK, Europe, India, Singapore, UAE and New Zealand Proven, patented technology that provides most accurate and comprehensive intelligence features. SenSen is backed by global team of scientists & engineers with HQ in Melbourne, Australia and offices in Hyderabad, India and San Francisco, USA

27 Thank You