Vehicle Event Response Using Local Video Classification
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Solution Overview
Problem
Existing vehicle detection and response systems are limited in their ability to discern various types of events and generate appropriate responses due to bandwidth constraints and the need for rapid event response, and they often rely on incomplete data processing.
Innovation Solution
A system that processes video footage locally at the vehicle and transmits event categorizations to a remote location for determining appropriate responses, using machine learning models to analyze data and generate targeted device actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video footage is transmitted to a remote location for event analysis, then comprehensive event detection is improved, but data transmission bandwidth requirements increase
Solution Approach 1:
The patent extracts only the essential event detection results from the video footage processing, rather than transmitting the entire video stream. The local computing device performs preliminary event detection and extracts key information (event type, location, timestamp) which is then transmitted to the remote device, significantly reducing data transmission volume while maintaining detection accuracy.
Solution Approach 2:
The system segments the event detection process into two parts: local preliminary detection and remote verification/enhancement. The local device handles real-time event detection and categorization, while the remote device provides additional analysis capabilities for complex events. This segmentation allows comprehensive detection without requiring full video transmission.
2Loss of time
If event response is accelerated, then response time is improved, but event analysis completeness may be compromised
Solution Approach 1:
The system performs preliminary event detection and categorization locally at the vehicle before transmitting results to the remote device. This preliminary action enables immediate local response to detected events while simultaneously allowing the remote device to conduct more comprehensive analysis, thus achieving both rapid response and complete analysis.
Solution Approach 2:
The system implements a feedback mechanism where the remote device can request additional video footage or data for specific events that require further analysis. This selective feedback approach ensures that only events needing additional verification trigger extra data transmission, maintaining fast response times while ensuring analysis completeness when necessary.
Data Source
AI summary
Automated response system for vehicles. A device associated with a vehicle automatically performs an action based on a detected event in the vicinity of the vehicle. The event is captured on video footage that is processed locally at the vehicle to categorize the event. The categorization is sent to a remote processing device. The remote processing device generates a signal that causes the device associated with the vehicle to respond in a particular way to the detected event.