DIGITAL DIVIDEND : TECH FOR GOOD
Mobilepedia : what we do Consulting services for government transformation Mobile-enabled applications Business analytics and intelligence tools Cloud-based end-to-end business process automation solutions Open source applications big data solutions CMS and web based dashboards GIS Map Integration Visualization engines
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Smartcity landscape in India total of 99 cities have been added to the Smart Cities Mission in 5 Phases Phase-1 20 smart cities Pahse-2 13 smart cities Phase-3 27 smart cities Phase-4 30 smart cities Phase-5 9 smart cities US$ 7.4 billion fund allocated by the central govt for smart cities development
Role of control and command centre in smart cities Single source of information” for all civic functions Process/analyze data from all the multiple sources Platform with the ability to receive, intelligently correlate & share information with stakeholders who are into city operations and planning to better predict outcomes Act as City’s emergency and disaster management platform
Options of control and command centre Motorola Serco Wipro Cisco Verizon Bosh IBM ESDS
Options of control and command centre HPE ETSI Cisco and Verizon excel in the width and depth of functionality offered across the value chain and vertical segments IBM and Bosch are embracing next-generation technologies like AI, block chain, and sensor data crowd sourcing to enable a new urban economy based on sharing, service, and cognitive business models for smart city services like community-based parking, automated surveillance cams, and block chain-enabled freight tracking
Scope of prototype Two cities panaji and bareilly are selected to showcase shared service platform Smart lighting and smart parking solutions integration with fiware to be showcased in selected smart ctities
Proposed case scenario-smart Lighting Energy efficient LED with sophisticated lighting management Centralized street lighting control system through Fiware with following features Switching and dimming of each light point in the network Centralized monitoring of performance of street lights Automated and manual controlling of all the street lights Immediate reporting of the Faulty street lights
Proposed case scenario-smart Lighting Mapping of all the street lights on the GIS maps System for citizens to report the faulty street lights through mobile application Reports and Dashboard
Proposed case scenario-smart Lighting
Proposed case scenario-smart parking Real-time, artificial intelligence image processing algorithm Edge computing of images Web based solution, mobile App and integration into navigation systems Significant savings in infrastructure costs when compared to installing sensors on the pavement
Proposed case scenario-smart parking
Current status of implementation Setup of fiare lab Basic configuration of fiware componenets done Philips will close the smart lighting in 1 week Integration of all the components and iot devices with be done in 1 month
Way forward Device provider devices to be made fiware compatible We need to setup a market place where cities can choose the specific solutions
DIGITAL DIVIDEND : TECH FOR GOOD www.mobilepedia.in +91-11-41003068 info@mobilepedia.in