Optical Adhesive Identification via AR Imaging
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Solution Overview
Problem
Existing methods for selecting adhesives to bond surfaces are prone to user error due to the similarity of products and lack of precise identification by chatbots, requiring extensive user search and expertise.
Innovation Solution
A method using optical imaging devices and a model associating surfaces with suitable adhesives, enabling identification of suitable adhesives through optical signals, such as watermarks or QR codes, and providing notification signals for user selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If chatbots are used to assist users in finding the right adhesive by limiting options to a set of suitable adhesives, then the selection process is simplified and guidance is provided, but the chatbots do not identify the adhesive specifically and require further user effort to search for product availability on shelves or in warehouses
Solution Approach 1:
The patent replaces the manual mechanical search process (physically browsing shelves and warehouses) with an automated optical imaging system using augmented reality devices. The system captures images of adhesive products, automatically identifies them through image recognition, and provides real-time guidance, eliminating the need for users to manually search through products.
Solution Approach 2:
The patent introduces an intermediary system consisting of an augmented reality device with image recognition capabilities and a database. This intermediary automatically identifies adhesive products by capturing their visual features, compares them against suitable adhesives determined by the chatbot, and provides real-time feedback to the user, bridging the gap between adhesive selection and product location.
2Loss of information
If products generally look the same and technical information is provided, then basic information is available, but the selection process is prone to errors due to inability to successfully distinguish similar products
Solution Approach 1:
The patent utilizes visual features such as color, packaging design, labels, and other distinctive visual characteristics of adhesive products. The augmented reality device captures these visual properties and uses them to uniquely identify specific adhesive products, enabling reliable distinction between similar-looking products based on their appearance rather than just technical specifications.
Solution Approach 2:
The patent replaces manual visual inspection and comparison of product information with an automated image recognition system. The system automatically captures images of adhesive products, extracts visual features, and performs pattern matching to accurately identify specific products, eliminating human error in distinguishing similar products.
3Reliability
If users process a lot of graphical and textual information to identify the most suitable adhesive, then comprehensive information is considered, but the process is time-consuming and prone to human error
Solution Approach 1:
The patent replaces manual processing of graphical and textual information with an automated computer vision and image recognition system. The augmented reality device captures images of adhesive products, automatically extracts and analyzes visual features, and rapidly compares them against the database of suitable adhesives, providing accurate identification without human error and in a fraction of the time required for manual analysis.
Solution Approach 2:
The patent creates a digital copy of the adhesive product information in the form of visual features extracted from images. These visual copies (images and extracted features) are stored in a database and can be rapidly compared and matched, eliminating the need for users to repeatedly examine physical products or process the same information manually multiple times.
Data Source
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AI summary
The invention relates to method implemented by a processor for determining an adhesive suitable for bonding two or more surfaces. An information relating to the surfaces comprising the material type two surfaces is obtained. Using a model associating surfaces with adhesives suitable to bond them together, a set of adhesives suitable for bonding the two or more surfaces is determined. An optical signal enabling identification of adhesive products is acquired using an optical imaging device by orienting the optical imaging device towards an adhesive product. Based on the signal, it is determined whether the adhesive product corresponds to an adhesive from the determined set. If that is the case a notification signal highlighting the identified adhesive product to a user is output.