Vehicle Imaging Camera With Guided 360° Capture and Auto Enhancement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Commercial photography, particularly in capturing high-quality images of vehicles, faces challenges in standardizing image capture, requiring manual adjustment of lighting, composition, and image enhancement, which can be time-consuming and prone to human error.
Innovation Solution
An image capturing module (ICM) equipped with a gyro-sensor and user interface, capable of automatically generating 360° images and providing real-time guidance, applying image adjustments based on pixel segmentation and color identification, and utilizing AI for background removal and glare correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of lighting, composition, and image enhancement is used, then image quality can be optimized, but time consumption and human error increase
Solution Approach 1:
The system performs automatic image analysis, lighting adjustment, and enhancement without requiring manual photographer intervention. The camera autonomously analyzes the scene, adjusts parameters, and applies filters based on pre-programmed algorithms, enabling the system to serve itself rather than relying on human operators for each adjustment.
Solution Approach 2:
The system automatically modifies multiple image parameters including lighting conditions, composition framing, color balance, contrast, and saturation based on real-time scene analysis. These parameter adjustments are made dynamically without manual input, transforming the manual optimization process into an automated parameter tuning system.
2Manufacturing precision
If manual adjustment of lighting, composition, and image enhancement is used, then image quality can be optimized, but human error increases
Solution Approach 1:
The system performs automatic image analysis, lighting adjustment, and enhancement without requiring manual photographer intervention. The camera autonomously analyzes the scene, adjusts parameters, and applies filters based on pre-programmed algorithms, enabling the system to serve itself rather than relying on human operators for each adjustment.
Solution Approach 2:
The system continuously analyzes captured images and uses feedback from this analysis to automatically adjust lighting, composition, and enhancement parameters. This closed-loop feedback mechanism ensures consistent application of optimization rules without human error, as the system objectively evaluates and adjusts based on measured image quality metrics rather than subjective human judgment.
3Productivity
If automatic image analysis and enhancement is applied, then time efficiency improves, but device complexity increases
Solution Approach 1:
The camera system integrates multiple functions including scene analysis, lighting adjustment, composition guidance, and image enhancement all within a single device. Rather than requiring separate tools for each function, the system provides universal image optimization capabilities that handle multiple tasks automatically, reducing the need for additional equipment while maintaining time efficiency.
Solution Approach 2:
The system replaces manual mechanical adjustments (physical lighting modifiers, manual framing) with automated digital processing and electronic control. Image enhancement is achieved through software algorithms rather than physical filters or manual editing, substituting mechanical and human operations with electronic and computational processes that reduce device complexity while improving productivity.
4Stability of the object's composition
If pre-determined image standard profile is applied, then image consistency improves, but adaptability to different styles decreases
Solution Approach 1:
The system employs dynamic parameter adjustment that adapts to different scene types and user preferences. Rather than applying a fixed standard profile, the system modifies lighting, color, and enhancement parameters based on real-time scene analysis and selected styles (e.g., portrait, landscape, product photography), allowing consistent quality across different contexts while maintaining adaptability to various imaging requirements.
Solution Approach 2:
The system applies different enhancement parameters and processing techniques to different regions and types of images based on scene analysis. Rather than uniform application of a single standard profile, local adjustments are made to lighting, color balance, and contrast based on the specific characteristics of each scene and the desired photographic style, maintaining consistency within each style while allowing versatility across styles.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates standardized, high-quality image capture with reduced manual effort, ensuring consistent image quality and eliminating the need for post-processing adjustments.
Implementation Method 1
an image capturing module (ICM) may be configured to capture a real-time image of a target object (e.g., a car). The ICM, for example, may include a gyro-sensor
Data Source
AI summary
Apparatus and associated methods relate to image generation systems. In an illustrative example, an image capturing module (ICM) may be configured to capture a real-time image of a target object (e.g., a car). The ICM, for example, may include a gyro-sensor and a user interface. For example, in a studio mode, the ICM may automatically generate a 360° image of the target object as a function of the gyro-sensor measurement. In a guided capture mode, for example, the ICM may generate guidance indicia at the user interface to assist in capturing components of the target object. In some implementations, the ICM may automatically apply image adjustments based on pixel segmentation and color identification such that the images captured are according to a predetermined image standard profile. Various embodiments may advantageously automatically be captured and standardized images of a target object based on the real-time image.