Multi-Angle Video Inspection for Liquid Impurity Detection
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Solution Overview
Problem
Existing methods for liquid impurity inspection in bottled products are labor-intensive, inefficient, and subjective, leading to fluctuations in inspection accuracy and missed defects.
Innovation Solution
A method involving video capture from multiple preset angles, followed by image processing and alignment, and construction of differential matrices to enhance image features and improve inspection precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If artificial light inspection method is used, then inspection can be performed, but labor intensity is high and efficiency is low
Solution Approach 1:
The patent replaces the manual artificial light inspection method with an automated image processing system that uses cameras to capture images from multiple angles and computer vision algorithms to detect impurities, thereby eliminating manual labor and significantly improving inspection efficiency
Solution Approach 2:
The patent creates digital copies (images) of the liquid product from multiple angles using cameras, processes these copies through image alignment and differential matrix construction, and detects impurities in the replicated images rather than directly inspecting the physical product, enabling automated high-speed inspection
2Reliability
If artificial light inspection method is used, then inspection can be performed, but inspection results are subjective and stability is poor
Solution Approach 1:
The patent divides the inspection process into multiple independent components: capturing images from multiple preset angles, aligning images through feature extraction, constructing differential matrices, and detecting impurities. This segmentation allows each component to be optimized independently and ensures consistent, objective results
Solution Approach 2:
The patent transitions from single-angle inspection to multi-angle inspection by adding the dimension of capture angle. By capturing images from multiple preset angles and processing them through image alignment and differential matrix construction, the system achieves more comprehensive and stable inspection results that are not affected by subjective factors
3Measurement precision
If artificial light inspection method is used, then inspection can be performed, but missed inspection rate fluctuates significantly
Solution Approach 1:
The patent performs preliminary actions by capturing images from multiple angles before final inspection. The image alignment and differential matrix construction are performed in advance to prepare enhanced image data, ensuring that impurity detection is based on comprehensive and stabilized image information rather than single-angle snapshots
Solution Approach 2:
The patent adds the dimension of multi-angle capture to the inspection process. By capturing images from multiple preset angles and processing them through image alignment and differential matrix construction, the system eliminates the fluctuation in missed inspection rate by considering impurities from multiple perspectives simultaneously
4Measurement precision
If multiple preset capture angles are used, then image features are enhanced and inspection precision is improved, but device complexity increases
Solution Approach 1:
The patent uses a universal image processing pipeline that handles multiple capture angles through the same sequence of operations: feature extraction, image alignment, differential matrix construction, and impurity detection. This multi-functional approach allows the system to process images from any preset angle using identical algorithms, managing complexity through standardization
Data Source
AI summary
Embodiments of the present application provide a method, a system and an apparatus for impurity inspection in a product, a device, a storage medium, and a software product. The method includes: determining a product object to be inspected and placing the product object in an inspection state, performing video capture on the product object in the inspection state from a plurality of different preset capture angles to obtain captured videos of the product object at each of the preset capture angles, performing image processing on the captured video to obtain captured images corresponding to each of the preset capture angles, and performing impurity inspection on the product object according to the captured images corresponding to each of the preset capture angles to generate a corresponding inspection result.