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Designed for smart cities, Shark Analytics integrates with urban traffic systems to optimize road safety and improve traffic flow. Its AI-powered analytics help city planners reduce congestion, enforce driving regulations, and create safer streets for residents.

Our Solutions

Our Solutions

Intelligent Traffic Flow Optimization

Intelligent Traffic Flow Optimization

AI-powered insights help city planners adjust traffic lights and routes to reduce congestion.

Violation Trend Analysis for Policy-Making

Violation Trend Analysis for Policy-Making

Provides data-driven insights into recurring traffic violations, supporting policy adjustments.

Real-Time Smart Traffic Management System

Real-Time Smart Traffic Management System

AI-powered dashboards allow city authorities to manage traffic dynamically in response to real-time events.

Integration with Existing Smart City Infrastructure

Integration with Existing Smart City Infrastructure

Seamlessly connects with smart city platforms and traffic control systems.

Accident-Prone Zone Identification

Accident-Prone Zone Identification

AI-driven detection of high-risk intersections and roads, enabling proactive urban planning.

Automated Incident Detection & Response

Automated Incident Detection & Response

AI alerts authorities to accidents or violations for faster emergency response.

Traffic Demand Forecasting & Infrastructure Planning

Traffic Demand Forecasting & Infrastructure Planning

Uses AI to predict future traffic patterns and optimize road expansions.

Dynamic Speed Limit Enforcement

Dynamic Speed Limit Enforcement

Adjusts and enforces speed limits based on real-time road conditions, reducing accident risks.

Helmet Detection for Motorcycle Safety

Helmet Detection for Motorcycle Safety

AI-powered helmet detection for motorcycles to enhance road safety and enforce compliance.

AI-Powered Environmental Impact Assessment

AI-Powered Environmental Impact Assessment

Monitors traffic-related emissions and congestion, supporting sustainability initiatives.