Microscopic Camera Hygiene Detection for Everyday Bacterial Identification
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Solution Overview
Problem
Conventional microscopes are expensive, bulky, and difficult for everyday use, making it challenging for ordinary people to identify bacteria categories in daily life without professional equipment and knowledge.
Innovation Solution
An electronic device equipped with a microscopic camera or an external microscopic camera connected to it captures images of objects, analyzes the category and quantity of bacteria, and provides intelligent prompts on hygiene status through a knowledge graph, allowing users to identify bacterial categories and hygiene levels conveniently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional microscope is used to identify bacteria, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses a camera to capture images of bacteria and creates digital copies that can be analyzed without requiring a physical microscope. The camera captures visual information that is then processed through image analysis algorithms, effectively copying the observation function of a microscope into a digital format that can be viewed and analyzed on electronic devices.
Solution Approach 2:
The patent replaces the mechanical optical system of a conventional microscope with an electronic imaging system. Instead of using lenses, mirrors, and mechanical adjustment mechanisms, the system uses a camera sensor, image processing algorithms, and electronic display to achieve bacterial identification, thereby eliminating the complexity of mechanical microscope systems.
2Measurement precision
If a conventional microscope is used to identify bacteria, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent creates digital copies of bacterial images that can be viewed and analyzed on common electronic devices like smartphones or computers. This allows users without specialized training or equipment to access and analyze bacterial images, dramatically improving ease of operation while maintaining identification accuracy through digital image processing.
Solution Approach 2:
The system incorporates automated image analysis capabilities that can independently process and identify bacteria from captured images. The electronic device automatically analyzes the captured images and provides identification results, reducing the need for users to have specialized knowledge or perform complex manual analysis, thereby improving ease of operation.
3Measurement precision
If professional bacterial identification equipment is used, then measurement precision is improved, but ease of manufacture deteriorates
Solution Approach 1:
The patent uses standard camera components to capture bacterial images and digital processing to analyze them, replacing expensive specialized microscopy equipment. This approach allows the system to be manufactured and deployed using off-the-shelf electronic components, dramatically improving ease of manufacture while maintaining identification precision through software-based analysis.
Solution Approach 2:
The patent employs inexpensive camera modules and electronic components that can be easily manufactured and replaced if needed. Rather than investing in expensive, complex microscope systems, the solution uses affordable digital imaging technology that simplifies manufacturing and deployment while achieving the same identification goals through software processing.
Data Source
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AI summary
This application discloses a method for identifying a hygiene status of an object and a related electronic device, and relates to the field of artificial intelligence and computer vision. The method includes: An electronic device determines a category of a first object. The electronic device collects a first image of the first object by using a first camera, where the first image is a micro image. The electronic device obtains a hygiene status of the first object based on the category and the first image of the first object. The electronic device may obtain, based on the micro image of the first object, information such as a category and a quantity of bacteria existing on the first object, or may obtain information such as a color and luster, texture, and an air hole of the first object. In this way, the electronic device can perform comprehensive analysis with reference to the category of the object and the micro image of the object, determine the hygiene status of the object, and output an intelligent prompt.