AI Edge Incident Detection for Automatic Roadside Alerts
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Solution Overview
Problem
Current systems for reporting highway accidents rely on human intervention, which can be delayed and inefficient, and autonomous vehicles are not yet fully developed to provide immediate automated notification to first responders.
Innovation Solution
A road incident monitoring and reporting system using artificial intelligence (AI) and edge computing to identify incidents and alert response teams without delay, utilizing IoT sensors and edge computing to analyze data from cameras or temperature sensors to determine if a vehicle is involved in an incident and transmit alerts to emergency services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If human intervention is used to report highway accidents, then the system can be simple and reliable, but the response time is delayed and efficiency is reduced
Solution Approach 1:
The system enables automatic incident detection and notification without human intervention. Sensors continuously monitor the environment and automatically trigger alerts when incidents are detected, eliminating the need for manual reporting while maintaining system simplicity through automated self-service functionality.
Solution Approach 2:
The patent replaces manual human reporting mechanisms with automated sensor-based detection systems. Mechanical and human operations are substituted with electronic sensors, processors, and automated communication systems that detect incidents and notify authorities without human involvement.
2Productivity
If automated crash notification applications are used, then response time is improved, but the system requires additional vehicle equipment and user action
Solution Approach 1:
The system performs automatic incident detection and notification without requiring driver or passenger action. The sensors and processing units autonomously monitor conditions, detect incidents, and trigger alerts, completely eliminating the need for user intervention in the notification process.
Solution Approach 2:
The patent extracts the notification function from manual user action and embeds it within the vehicle's automated systems. The notification capability is integrated into the vehicle's electronic architecture, removing the need for users to manually activate emergency services.
3Measurement precision
If manual reporting by witnesses is used, then no additional vehicle equipment is needed, but reporting accuracy and efficiency are reduced
Solution Approach 1:
The system replaces manual human observation and reporting with automated sensor-based detection. Sensors objectively measure incident conditions and parameters, providing accurate data without human error, while the electronic processing and communication systems handle reporting automatically.
Solution Approach 2:
The sensor system autonomously detects incidents and generates accurate reports without human intervention. The system self-monitors environmental conditions, processes sensor data, and automatically transmits incident information with precise details to authorities.
Data Source
AI summary
A road incident monitoring and reporting system includes a sensing device that collects data indicative of whether an incident has occurred involving a motor vehicle on the road. The sensing device transmits a sensor signal including the data. An electronic processor is communicatively coupled to the sensing device and received the sensor signal. The electronic processor determines, based on the sensor signal, whether the incident has occurred involving a motor vehicle on the road. The electronic processor transmits an incident notification to a response team only if it has been determined that the incident has occurred involving a motor vehicle on the road.


