Vehicle Image Processing Priority for Dangerous Driving Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for connected cars face high processing loads and delayed responses due to the need to collect and process large amounts of information from vehicles, particularly when detecting dangerously driven vehicles, which can lead to inefficiencies in identifying and prioritizing image processing tasks.
Innovation Solution
An information processing device that includes a receiver unit for capturing and processing image information from multiple vehicles, a setting unit to establish a priority level for image processing based on predetermined conditions, and an image processing unit to identify characteristics of dangerously driven vehicles, thereby expediting the processing by prioritizing image information from vehicles that have detected such vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image information from multiple vehicles is collected and processed to detect dangerously driven vehicles, then the ability to identify dangerous driving improves, but the processing load increases and response time delays
Solution Approach 1:
The patent segments the image processing task by first detecting dangerously driven vehicles at the vehicle level (in-vehicle device), then only transmitting and processing images related to those detections at the cloud server level. This divides the processing workload into local preliminary processing and centralized verification processing, reducing overall processing load while maintaining detection accuracy.
Solution Approach 2:
The in-vehicle device performs preliminary detection of dangerous driving conditions using its own sensors and image data before transmitting information to the cloud server. This preliminary action filters out non-dangerous situations early, so only critical cases require further processing at the cloud server, thereby reducing total processing volume and improving response time.
2Reliability
If all image information from vehicles is processed equally, then comprehensive monitoring is achieved, but processing time increases
Solution Approach 1:
The patent applies different processing qualities to different image data based on local conditions. Image information from vehicles that have detected dangerously driven vehicles is marked with higher priority and processed more extensively at the cloud server, while images from vehicles without such detections undergo minimal or no processing. This localized quality differentiation maintains comprehensive monitoring coverage for critical events while reducing overall processing time.
Solution Approach 2:
The system dynamically adjusts processing priorities based on real-time detection results. When a vehicle detects a dangerously driven vehicle, the image processing priority for that specific vehicle's images is dynamically increased. This dynamic prioritization ensures that time-sensitive dangerous driving events receive immediate processing attention while routine images are processed at lower priority, reducing overall processing time.
Data Source
AI summary
An information processing device that is configured to: receive, from each of two or more vehicles, image information captured by an image capture device installed at a vehicle, and vehicle information including position information on the vehicle; in a case in which a dangerously-driven vehicle has been detected by vehicles, establish a priority level for image processing of image information captured by the vehicles that have detected the dangerously-driven vehicle, in accordance with a predetermined condition; and based on the image information, perform image processing to identify a characteristic of the dangerously-driven vehicle in accordance with the established priority level.