An Intelligent Transportation Safety Monitoring System with Rider Risk Assessment and Violation Analytics
An ESP32-Based Smart Safety Platform for Real-Time Helmet Compliance Monitoring, Alcohol Detection, Drowsiness Assessment, and Rider Risk Evaluation
₹5500.00₹4500.00
The Intelligent Transportation Safety Monitoring System with Rider Risk Assessment and Violation Analytics is an advanced IoT-enabled safety solution designed to enhance the safety and operational efficiency of two-wheeler riders, delivery personnel, and fleet operators. The system integrates multiple embedded sensors and real-time analytics to continuously monitor rider behavior, identify safety violations, and assess accident risks before they lead to critical incidents.
The platform utilizes an ESP32 microcontroller to acquire and process data from helmet detection, alcohol sensing, and drowsiness monitoring modules. Based on the collected information, the system evaluates rider safety conditions and generates a dynamic Risk Assessment Score that reflects the rider’s overall safety status.
A cloud-connected dashboard provides live visualization of rider performance, violation records, safety trends, and compliance statistics. The analytics engine tracks unsafe behaviors such as riding without a helmet, alcohol influence, and driver fatigue, enabling proactive intervention and safety enforcement.
The system supports real-time alerts, violation logging, performance reporting, and safety score computation, making it suitable for smart transportation ecosystems, logistics fleets, food delivery services, and occupational safety applications. By combining embedded intelligence, wireless connectivity, and data-driven analytics, the proposed solution contributes to accident prevention, rider accountability, and safer transportation environments.
Key Features
Real-time helmet compliance detection
Alcohol consumption monitoring
Driver drowsiness and fatigue detection
Intelligent rider risk assessment
Safety score generation and analytics
Violation tracking and event logging
ESP32-based wireless connectivity
OLED-based local status display
Cloud dashboard visualization
Historical trend analysis and reporting
Automated safety alerts and notifications
Applications
Food Delivery Rider Safety Systems
E-Commerce Logistics Fleets
Smart Transportation Networks
Fleet Safety Management
Occupational Health and Safety Monitoring
Two-Wheeler Compliance Enforcement
Smart City Mobility Infrastructure
Rider Performance Analytics Platforms
Address
111, middle street, Vaniyampatti
Srivilliputhur, TN 626125
Contacts
+91 63854 79706
gvmurugaraj@gmail.com
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