20‐4: An AI‐Driven Aquarium Guide System for Intelligent Museum

Author:

Liu Te-Chih1,Lin Yu-Hsin1,Cheng Ting-Hsun1,Chao Yu-Ju1,Chen Jian-Lung1

Affiliation:

1. Electronic and Optoelectronic System Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan R.O.C. 31040

Abstract

Visitors to aquariums often struggle to access information and differentiate between similar marine species. To address this issue, ITRI has developed an AI‐driven Aquarium Guide System that uses real‐time face tracking and recognition technology, along with fish identification and gesture recognition. When visitors stand in front of a fish tank, the system detects their gaze and facial features, and identifies the species they are looking at. The backend database then displays the fish's name and provides relevant information to visitors.This system has a 98% accuracy rate in recognizing marine life and can adjust the information based on visitor gestures with an accuracy error of less than 1.0 mm. It also uses virtual and augmented reality technology, paving the way for real‐time, immersive mapping technology.The AI‐driven Aquarium Guide System improves the visitor experience at tourist attractions by offering accurate and interactive information about marine life. This increases visitor understanding and appreciation of marine creatures while providing an engaging and enjoyable experience. We are thrilled to announce that this system has won the 2023 CES Innovation Award, recognizing its excellence and innovation. It has already been installed at the National Museum of Marine Science & Technology (NMMST), transforming the way visitors experience and learn about marine life.

Publisher

Wiley

Subject

General Medicine

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