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SIH26007HardwareSmart Automation

Safe and Efficient Operation of Mine Vehicles in Fog and Low-Visibility Conditions in Open Cast Iron Ore Mines.

Ministry of Steel

Ideas submitted
245 / 500
Deadline
30 September 2026
Category
Hardware
Theme
Smart Automation

Looks like it needs

Computer VisionIoT / Embedded

Background

NMDC Limited is India’s largest Iron Ore producer, currently producing approximately 53 Million Tonnes Per Annum (MTPA) from its three fully mechanized mining complexes, namely BIOM-Kirandul Complex, BIOM-Bacheli Complex in Chhattisgarh, and Donimalai Complex in Karnataka. The Bailadila Region alone contributes nearly 37 MTPA of Iron Ore production. In line with the National Steel Policy, NMDC has set a target of achieving 100 MT production capacity by 2030, with approximately 80 MT expected from the Bailadila Sector.

The Bailadila mining region experiences severe monsoon conditions from June to October, including heavy rainfall, strong winds, high humidity, dense clouds, and thick fog. During this period, visibility on mine haul roads, particularly in hilltop mining areas, often reduces to as low as 3–5 meters. These conditions significantly affect the safe and efficient movement of Heavy Earth Moving Machinery (HEMM), especially dumpers engaged in ore transportation.

Problem Description

Dense fog and extremely low visibility during the monsoon season create major operational and safety challenges in the Bailadila iron ore mines. Poor visibility restricts dumper movement, forcing operators to reduce speed or temporarily halt operations to avoid accidents and unsafe conditions.This results in increased haul cycle times, reduced fleet productivity, lower ore evacuation, and production losses. The risk of vehicle collision, road accidents, and operational disruptions also increases substantially during such conditions. Existing visibility aids and operational controls have limited effectiveness in dense fog environments.There is a need for an intelligent, reliable, and technology-driven solution that can enable safe and efficient movement of mine vehicles under low-visibility conditions while ensuring continuity of operations and maintaining production levels. Expected Solution:

The proposed solution should improve operator situational awareness, assist in vehicle guidance and collision avoidance, and support real-time monitoring and decision-making for safe haul road operations during adverse weather conditions.

The solution may leverage technologies such as

• AI/ML-based analytics • Computer vision and thermal imaging • LiDAR and radar-based sensing • GPS/DGPS-based vehicle tracking • Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication • Autonomous or driver-assistance systems • IoT-enabled monitoring systems • Centralized command and control platforms • Digital Twin-based operational monitoring Expected Outcomes • Improved safety of dumper operations during foggy conditions • Reduction in collision risks and operational accidents • Improved haulage efficiency and reduced cycle times • Enhanced fleet utilization and continuity of mining operations during monsoon • Reduction in production losses caused by low visibility • Real-time monitoring and decision support for operators and control rooms • Scalable and deployable solution for large-scale mechanized open cast mines

How contested this one is

as of 28 Sept
245ideas submitted+49 in 2 days

That puts it 40th of the 240 statements that have any ideas at all, out of 240 on the board. It is moving, so the field here is already forming.

See what the whole field is picking →

Counted from the official portal twice a day. The portal itself only shows today.

How a winner reads this one

One idea submitted so far

This is the most specific statement on the board, and specificity is a gift. Visibility down to three metres. Dumpers on haul roads. Monsoon from June to October. Bailadila. You can name all of it, and most teams competing with you will write fog generically.

The trap is the obvious solution. Teams will propose an AI camera that detects obstacles. A camera cannot see through fog either. Neither can the driver, and that is the whole problem. Any answer built on vision falls apart the moment a juror asks what the camera sees at three metres.

The better read is that you are not trying to make anyone see. You are trying to make each vehicle know where the others are without seeing them. Position, not perception. Precise GPS on every dumper, geofenced haul roads, and a warning when two are converging. That works at zero visibility because it never needed visibility.

Use NMDC's own numbers. 53 MTPA now, 100 MT targeted by 2030. Downtime has a price and they know it.

Zaid Sayyed · SIH 2025 national winner

What a jury will ask about this

  1. 01“Who actually faces this problem today?”

    What works: Naming one real person and what they do instead right now. Reading the statement back is not an answer, they already read it.

  2. 02“This already exists. Why yours?”

    What works: That existing tools are consumer products. Yours is built for the ministry, works offline, in the local language, on official data.

  3. 03“Then why has nobody solved it yet?”

    What works: The real blocker. No connectivity, no incentive, nobody owns the data. You only know this if you read the ministry's own reports.

All 18 questions, with the trap answers →

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