The department has been keeping a database repository of insect and specimens for decades. The department intends to establish a structured knowledge base (KB) about different species of insects. According to the expert of the subject area, one of the challenges to establish the KB is matching the newly found specimen against the image database which was created via highly sophisticated microscopic devices. As the industry players keep discovering new species (such as:https://hk.news.appledaily.com/local/daily/article/20190402/20646945), the image matching challenge could be a hurdle for the KB. We hope to find viable technology which can improve the image matching accuracy for insects.
Service Needs
ServiceNeedRef
N-0006
Title
Image Matching for Insect Knowledge Base
Business Needs / Challenges
Application Areas
Environment
Health
Expected Outcomes
Image matching accuracy for inserts could be improved so that the KB could be established.
Technologies to be Used
Artificial Intelligence (AI)
Data Analytics
Deep Learning
Machine Learning
Image Recognition
