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DIGITAL DIVIDEND : TECH FOR GOOD
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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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Mobilepedia : top clients
The World Bank The Asia Foundation Department of land records, Government of India national rural health mission, Government of India ANSA, Bangladesh Government of Bhutan Rural Water & Sanitation program Governments of UP, Bihar, Assam & Jharkhand Government of NCT of Delhi International finance corporation brac , Bangladesh
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Mobilepedia : solutions
local Governance Citizen Engagement Monitoring & Evaluation M-Health Watershed PROCESS MANAGEMENT Smart cities with green growth Field Force Management
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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
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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
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Options of control and command centre
Motorola Serco Wipro Cisco Verizon Bosh IBM ESDS
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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
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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
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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
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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
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Proposed case scenario-smart Lighting
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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
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Proposed case scenario-smart parking
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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
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Way forward Device provider devices to be made fiware compatible
We need to setup a market place where cities can choose the specific solutions
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DIGITAL DIVIDEND : TECH FOR GOOD
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