Reagent Color Recognition Model for Android Platform Based on OPENCV and Machine Learning
| Autor: | Jingfeng Qiu, Kejing He, Pengfei Liu, Qiaoyi Hu, Weifeng Zhang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Color recognition 05 social sciences 050301 education Machine learning computer.software_genre Software portability Artificial intelligence 0509 other social sciences Android (operating system) 050904 information & library sciences business 0503 education computer Social significance |
| Zdroj: | 2019 International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI). |
| DOI: | 10.1109/mlbdbi48998.2019.00060 |
| Popis: | To meet the needs of positive and negative identification of biological reagents, a set of color recognition App based on Android platform is developed, which mainly uses OPENCV and machine learning technology to realize the main functions of tube positioning, color extraction and classification. The development of the system lays a foundation for the establishment of real-time reagent identification, and has great economic and social significance. Compared with traditional detectors or manual discrimination, the system has the advantages of portability and high accuracy, and has broad application prospects in real-time detection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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