ITI Limited Pioneers AI-Driven Road Safety Project in Uttar Pradesh
ITI Limited, in collaboration with mLogica, is set to launch an AI and Big Data Analytics-driven pilot project for enhancing road safety in Uttar Pradesh. Approved by MoRTH, the project will analyze multi-source data to predict accident black spots, identify accident causes, and generate real-time policy dashboards. The six-week prototype aims to improve public safety through targeted interventions. Upon successful trials, ITI plans to expand the AI system across core transport functions. This project adds to ITI's growing portfolio, which includes recent contracts for CCTV surveillance and GIS-based systems in Odisha and Chhattisgarh.

*this image is generated using AI for illustrative purposes only.
ITI Limited , India's premier telecom manufacturing company, is set to launch a groundbreaking Artificial Intelligence (AI) and Big Data Analytics-driven pilot project aimed at enhancing road safety and enforcement efficiency in Uttar Pradesh. This innovative initiative, approved by the Union Ministry of Road Transport and Highways (MoRTH), marks a significant step towards leveraging technology for public safety.
Partnership and Project Overview
The project, developed in collaboration with technology firm mLogica, will utilize a comprehensive analytics foundation to collect and analyze multi-source data, including:
- Traffic flow data (speed, congestion levels, and vehicle density)
- Environmental conditions
- Driver performance
- Vehicle data
- Accident reports
- Road infrastructure details
Project Objectives and Expected Outcomes
The six-week prototype phase aims to consolidate various data sources to develop AI models capable of:
- Predicting accident black spots
- Identifying root causes of accidents
- Generating real-time policy dashboards
- Improving public safety through targeted interventions
Key expected outcomes include:
- Identification of true causes of accidents and fatalities
- Mapping of high-risk areas requiring preventative strategies
- Data-driven policy recommendations
- Simulation capabilities for preventative models
- Real-time monitoring of progress towards identified goals
Expansion Plans
Following successful trials, ITI Limited plans to expand the AI system across core transport functions, including:
- Faceless licensing and permits
- Revenue collection
- E-challan operations
- Modernized enforcement
- Vahan Sarathi registries
Management's Perspective
Rajesh Rai, Chairman and Managing Director of ITI Limited, expressed enthusiasm about the company's foray into AI-driven traffic management. He stated, "We are very excited to enter this new area of AI-driven traffic management and are very humbled that Uttar Pradesh Government has chosen our model for its traffic management as a test case."
Rai added, "We hope this AI project will go a long way in ensuring smooth traffic management and in prevention of any mishaps. Our team's robust, AI-driven analytics and data foundation is aimed at significantly reducing road accident fatalities across the state and I hope this model becomes a benchmark."
ITI Limited's Growing Portfolio
This AI-powered road safety project adds to ITI Limited's expanding portfolio of technology solutions. The company has recently secured contracts worth approximately Rs. 88.00 crores for CCTV surveillance and GIS-based Land Intelligence Management Systems in Odisha and Chhattisgarh.
As a multi-unit central public sector undertaking, ITI Limited continues to strengthen its position in the telecommunications segment, offering a wide range of products and solutions. The company's diversification into defense, IoT, e-governance, and IT projects showcases its commitment to innovation and technological advancement in various sectors.
With this pioneering AI project, ITI Limited is poised to make a significant impact on road safety and traffic management, potentially setting a new standard for smart city initiatives across India.
Historical Stock Returns for ITI
1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
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+3.44% | +1.91% | -7.30% | -3.91% | +7.04% | +125.56% |