Vehicle Image Compositing With Driver Overlay for Versatile Monitoring
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Solution Overview
Problem
Current image processing technologies lack the ability to diversify applications of images obtained, limiting their utility beyond initial intended uses.
Innovation Solution
An image processing device that acquires a vehicle surrounding image, driver image, and vehicle state information, generating a composite image by superimposing the vehicle image on the surrounding image, allowing for versatile applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing technology is used for basic vehicle monitoring, then the basic function is achieved, but the application diversity is limited
Solution Approach 1:
The image processing device is designed to perform multiple functions by processing the same input images (vehicle surrounding images and driver images) through different processing modes to generate various types of output images. The same hardware system can produce composite images for monitoring, extracted images for analysis, and processed images for recognition, thereby achieving application diversity without proportionally increasing system complexity.
Solution Approach 2:
The image processing functionality is divided into distinct processing modes (composite image generation mode, extracted image generation mode, and processed image generation mode). Each mode handles specific processing tasks independently, allowing the system to flexibly switch between different applications based on the required output type while maintaining a unified overall architecture.
2Adaptability or versatility
If multiple types of images are generated for diverse applications, then application versatility improves, but processing complexity increases
Solution Approach 1:
A single image processing device performs multiple image generation functions by configuring different processing modes. The device can generate composite images by superimposing vehicle surrounding images and driver images, extract specific regions of interest, or process images through various algorithms, all within one unified system that manages complexity internally while providing diverse outputs.
Solution Approach 2:
The image processing system employs dynamic processing modes that can be switched or combined based on the required application. The processing complexity is adjusted dynamically by activating only the necessary processing modes for each specific application scenario, rather than always running all processing functions simultaneously.
Data Source
AI summary
The present invention is an image processing device processing an image of a vehicle, comprising a first acquisition unit for acquiring an image showing a situation around the vehicle as a vehicle surrounding image, a second acquisition unit for acquiring information indicating a state of the vehicle, a third acquisition unit for acquiring an image of a driver of the vehicle as a driver image, and an image generation unit for generating an image of the vehicle as a vehicle image based on the information acquired by the second acquisition unit and generating a composite image by superimposing the vehicle image and the driver image on the vehicle surrounding image.