Accelerating Adoption of Emerging Technologies in Government – Kerala Development and Innovation Strategic Council

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Digitized Governance

Problem

• Lack of emerging technologies for providing government services to common man effectively.
• There was no way to timey identify leakage in water supply systems to avoid wastage of water. 
• There was no provision to ensure quality of blood right from the donor to the recipient.
• 13% of the retinal images were not suitable for Diabetic retinopathy detection..
• Farmers do not have access to real time localised weather data and alerts, and the crop insurance calculations are not known to them.

Solution

• Developed Consumer Billing App for Drinking Water Supply for self-reading of water meters and digital payment. 
• Replaced the handheld devices of meter readers with mobile application enabled with UPI payment.
• Facilitated emerging technology driven continuous Water Supply System through IoT based cloud solution for tracking the Water Supply System. 
• Replaced all manual registers and introduced IoT based solution to monitor blood bags, including monitoring of storage and transit temperatures.
• AI based identification of diagnosability of the retinal images done and feedback shared within seconds.

Outcomes

• Now consumers can take the photo of the meter and report meter reading online and make online payment with the QR code provided in the app.
• AI based system identifies whether the quality of retinal image is good for AI based diagnosis.
• With the use of IoT based weather stations, farmers were able to get real time weather data and alerts, which can be used for crop insurance claims.
• Blood Bag Traceability Project – vein-to-vein traceability is made possible from donor to recipient. 
• Achieved patient level accuracy with sensitivity 93.33% and specificity 95.56%. Image Field Definition Model with an accuracy of 95.99% in Diabetic Retinopathy.

Challenges

• Issues in reading water meter from the uploaded images due to image quality issues. 
• Low accuracy in the installed IoT sensors.
• Temporary increase in workload of the users, when both manual data entry in Registers and in the tracking, system was to be done till system stabilised.
• Immediate feedback from the Central AI server depended on good Internet connectivity between the AI server and the Public health centre.
• Issues in wireless data communication of smart weather stations and low accuracy of IoT devices. 

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Case Study

Digitized Drinking Water Supply 

Introduction 

Use of Emerging Technologies like Blockchain, Machine Language, Artificial Intelligence, Internet of Things, Gaming and Virtual reality, Augmented Reality, Big Data etc. for providing government services to common man effectively.

Problems

Earlier, the average bill amount for water consumption was low and there was no way to identify leakage and the level of water tanks. There was no provision to ensure quality of blood right from the donor to the recipient. 13% of the retinal images were not suitable for Diabetic retinopathy detection and farmers did not have access to real time localised weather data and alerts, and the crop insurance calculations were not known to them.

Solutions

KWA officials and pump operators have been equipped with an application to effectively monitor the pumping and distribution operations from their mobile. Implementation of IoT based quality assurance and end-to-end traceability has ensured quality of blood being used. Alert of low quality images is reported to the operator within seconds. Also, farmers can get real time weather information and alerts.

Outcomes

Consumers can take water meter reading and upload with photos. The blood bags can be traced right from the donor to the recipient. AI based system identifies whether the quality of retinal image is good for AI based diagnosis. With the use of IoT based weather stations, farmers are able to get real time weather data and alerts, which can be used for crop insurance claims.

Challenges

There were issues in reading water meter from the uploaded images due to image quality issues. A temporary increase in workload of the users was to be done till system stabilised. Immediate feedback from the Central AI server depended on good Internet connectivity between the AI server and the Public health centre. Issues were faced in wireless data communication of smart weather stations and low accuracy of IoT devices. Insurance agencies were reluctance to faster insurance settlements.

Innovation

Automatic geotagging was done to ensure that meter reading is correct. Meter and QR coding was also introduced in the mobile app for hassle-free payment. Strategically placed IoT sensors to measure and monitor the water supply system. Temperature sensors were deployed in the refrigerators and ice boxes carrying blood bags. AI based system for automatic screening of Diabetic Retinopathy through AI based image quality assessment software.

Opportunities

OCR based automatic meter reading from the images is also planned for next phase. AI based system for automatic screening of Diabetic Retinopathy being expanded for use by 172 family health centres, where there are no regular ophthalmologists.

Summary

The programme leverages the vast opportunities of emerging technologies to provider faster and better service to the citizens. It also explores new service possibilities.

For more information, please contact:
Dr Unnikrishnan Potheri Vasudevan, Member Secretary at ms.kdisc@kdisc.kerala.gov.in

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