Page 35 - 2023 Taiwan Food and Drug Administration Annual Report
P. 35
2Consolidated Management over
Food Safety
Section 5 II. Development of web
crawlers for the supervision
Apply Artificial and management of
Intelligence to Assist emerging web-based food
in Food Safety Risk businesses
Decisions
In order to keep track of the e-commerce
▍ Introduction of the Policy platform, supervision and management of
emerging web-based food businesses are
In light of the diversified types of foods reinforced. Web crawlers are applied to
imported and their continuous growths and automatically extract information on food
the prevalent online consumption in the post- sales from various online platforms, including
pandemic era, for the sake of reinforcing e-commerce websites, food delivery platforms,
food safety management, big data analysis and blogs. This information is then used to
and technology have been incorporated into build databases and is cross-referenced and
risk management to ensure public health. In analyzed against food cloud data to keep track
addition, the “TFDA African Swine Fever of potentially risky businesses.
Emergency Response Working Group”
continues to conduct regular response III. Deal with African Swine
notifications and education training based on Fever emergency response
the guidelines of risk management and crisis and notification
management from various agencies under the
Executive Yuan. In order to block the smuggling and
importation of swine products from swine
▍ Implementation Strategy fever areas in Africa, responsive measures
continued. Representatives were sent to
I. Advancement of AI participate in the meetings of the “African
machine learning algorithm Swine Fever Central Disaster Response
technology Center” to keep track of the inter-departmental
coordination work.
Through the BPI system, the hit rate of
inspections across a total of 12 food categories ▍ Achievements and Benefits
was improved by a factor of 1.21 compared
to the period before its implementation, I. Advancement of AI
effectively enhancing the efficiency of border machine learning algorithm
food safety management. technology
Through the BPI system, the hit rate of
33
