Vehicle-Mounted Camera Code Scanning with Temporal Image Parsing
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Solution Overview
Problem
In driving scenarios, code scanning operations using intelligent terminal devices like mobile phones are cumbersome, distracting, and prone to safety hazards due to the need for unlocking and opening applications, leading to inefficiencies and potential traffic jams.
Innovation Solution
A code scanning method utilizing a vehicle-mounted camera that continuously collects and parses images within a preset time frame, allowing for improved parsing efficiency by using subsequent images if initial images are incomplete or distorted, and adaptive adjustments to vehicle status for better imaging, along with security verification to ensure safe operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a mobile phone is used for code scanning in driving scenarios, then code scanning can be performed, but the operation becomes cumbersome and time-consuming due to unlocking and opening applications
Solution Approach 1:
The patent merges the code scanning function with the vehicle's existing camera system and control unit. The camera, originally intended for other purposes, is integrated to capture encoding patterns, and the control unit processes these images directly, eliminating the need for separate mobile phone operations.
Solution Approach 2:
The vehicle's own camera and control system serve the code scanning function autonomously. The system automatically captures images, processes them to extract encoding information, and executes corresponding operations without requiring driver intervention to operate a mobile phone.
2Adaptability or versatility
If a mobile phone is used for code scanning while driving, then code scanning functionality is available, but driver distraction increases and safety hazards arise
Solution Approach 1:
The patent extracts the code scanning operation from the driver's hands and attention by implementing it through the vehicle's automated camera system. The encoding pattern recognition and processing are performed by the control unit without requiring driver interaction, removing the distraction element entirely.
3Speed
If the vehicle-mounted camera captures images at high speed during driving, then code scanning can be performed dynamically, but image quality deteriorates due to motion blur and distortion
Solution Approach 1:
The system performs preliminary actions by continuously capturing images before the optimal scanning moment is reached. When an encoding pattern is detected, the system has already accumulated multiple pre-captured images that can be used for scanning, eliminating the need to wait for perfect timing during high-speed motion.
Solution Approach 2:
The patent changes the parameter of image capture timing by using pre-captured images taken at slightly different moments. Instead of requiring a single perfectly timed capture during high-speed motion, the system utilizes images captured in the immediate past, where motion blur and distortion are reduced.
4Ease of operation
If the vehicle-mounted camera is used for code scanning, then operation simplicity is improved, but parsing success rate decreases due to image incompleteness and distortion
Solution Approach 1:
The patent implements continuous image capture and processing, where the control unit continuously monitors captured images for encoding patterns and immediately processes them. This continuous operation ensures that no potential scanning opportunities are missed and that parsing is attempted on every relevant image, maximizing success rate.
Solution Approach 2:
The system performs preliminary image processing and analysis to identify encoding patterns before final parsing. By pre-processing images to enhance quality and detect potential encoding patterns, the system improves parsing success rates even when individual images have motion-related quality issues.
Data Source
AI summary
The present disclosure relates to code scanning methods based on vehicle-mounted cameras. One example method includes collecting a first image by using a vehicle-mounted camera, parsing a target encoding pattern included in the first image, and when no parsing information is obtained, collecting, based on image data obtained by the vehicle-mounted camera, another image that is close to the first image in a time relationship for parsing to attempt to obtain parsing information in the target encoding pattern.