UP 112 ERSS - India

UP 112 ERSS - India

Uttar Pradesh, with a population exceeding 270 million, is the most populated state in India and is leading the way in public safety by pioneering the Next Generation ERSS Dial 112 (Emergency) or UP 112. This project signifies a pivotal advancement in the evolution of emergency response systems in India, showcasing the immense potential of AI in addressing complex challenges in public safety and emergency management.

ASTRIKOS team is involved in Sindalah island ICT enablement project as a partner to guide the Unified Operations Centre for the island occupants comfort governance along with Safety Security, Access Control, Building Operations across multiple clusters, Fire and Emergency Management

The challenges lie in improving the efficiency and effectiveness of the emergency response system in Uttar Pradesh. This includes issues such as:
• Slow response times
• Inefficient resource allocation
• Lack of data-driven decision-making
• Difficulty in anticipating and responding to emergencies

Problem Statement

Problem Statement

Solution

Solution

Astrikos' Collaborative Business Intelligence Platform for the Emergency Response Support System is designed to address these challenges by:

• Aggregating and enhancing data quality: Providing a comprehensive view of emergency response data.

• Anticipating incidents and optimizing resource deployment: Enabling proactive and efficient resource allocation.

• Analyzing trends and forecasting: Identifying patterns and predicting future needs.

• Optimizing first responder response times: Improving the speed and efficiency of emergency response.

• Providing CXO-level dashboards:Enabling data-driven decision-making at the highest levels.

Premium UX Template for Framer


Astrikos' Collaborative Business Intelligence Platform for the Emergency Response Support System is designed to address these challenges by:

• Aggregating and enhancing data quality: Providing a comprehensive view of emergency response data.

• Anticipating incidents and optimizing resource deployment: Enabling proactive and efficient resource allocation.

• Analyzing trends and forecasting: Identifying patterns and predicting future needs.

• Optimizing first responder response times: Improving the speed and efficiency of emergency response.

• Providing CXO-level dashboards: Enabling data-driven decision-making at the highest levels.

Premium UX Template for Framer

Astrikos' Collaborative Business Intelligence Platform for the Emergency Response Support System is designed to address these challenges by:

• Aggregating and enhancing data quality: Providing a comprehensive view of emergency response data.

• Anticipating incidents and optimizing resource deployment: Enabling proactive and efficient resource allocation.

• Analyzing trends and forecasting: Identifying patterns and predicting future needs.

• Optimizing first responder response times: Improving the speed and efficiency of emergency response.

• Providing CXO-level dashboards:Enabling data-driven decision-making at the highest levels.

Premium UX Template for Framer

Impact

What our users say

What our users say

The challenges lie in improving the efficiency and effectiveness of the emergency response system in Uttar Pradesh. This includes issues such as:
• Slow response times
• Inefficient resource allocation
• Lack of data-driven decision-making
• Difficulty in anticipating and responding to emergencies

Problem

Enhanced public safety and security

Data-driven decision-making for better emergency management

Improved resource allocation

Reduced response times

Impact

ASTRIKOS team is involved in Sindalah island ICT enablement project as a partner to guide the Unified Operations Centre for the island occupants comfort governance along with Safety Security, Access Control, Building Operations across multiple clusters, Fire and Emergency Management

The challenges lie in improving the efficiency and effectiveness of the emergency response system in Uttar Pradesh. This includes issues such as:
• Slow response times
• Inefficient resource allocation
• Lack of data-driven decision-making
• Difficulty in anticipating and responding to emergencies

Intelligent Emergency Management

Data-driven decision-making for better emergency management

Strengthened Public Safety

Enhanced public safety and security

Optimized Resource Allocation

Improved resource allocation

Faster Emergency Response

Reduced response times

Intelligent Emergency Management

Data-driven decision-making for better emergency management

Strengthened Public Safety

Enhanced public safety and security

Optimized Resource Allocation

Improved resource allocation

Faster Emergency Response

Reduced response times