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A.I. for Social Good: Drone x Object Recognition Workshop cum Competition

A.I. for Social Good: 無人機 x人工智能物件辨識工作坊暨比賽

A.I. for Social Good: Drone x Object Recognition Workshop cum Competition is a joint initiative developed by the Department of Computing and Service-Learning & Leadership Office of The Hong Kong Polytechnic University (PolyU) in AY2022/23. In this project, 190 PolyU students formed in teams to conduct workshop on A.I. object recognition, machine-learning and drone operation with block programming for youngsters in Hong Kong and South Africa. After completion of the 10-to-12-hour workshop, youngsters participated in the competitions in teams to showcase their programming skills for a drone flying mission and presented their original ideas on A.I. object recognition x drone application for social good.




Competition Details 比賽詳情

The competition consists of two parts, the A.I. National Park Service Ranger, and the Future Developer for A.I..


Each team needs to program the drone to fly within the designated area of the miniature National Park and recognize the animals, visitors, and suspicious people with corresponding signaling as far as possible when flying. Points will be awarded for each successful recognition. Each team has a maximum of three flying attempts. The best score out of the attempts is used for final marks calculation.

Each team needs to present an original and creative idea on how A.I. object recognition and drone can be applied for social good in daily life and make a positive impact to the community. Originality and creativity, relevance, and presentation clarity are taken into consideration for assessing their performance.


Part I A.I. National Park Service Ranger
A total of eight to nine target objects are placed around the national park, each carry 20-30 points
Sub-total 分部總分

Part II Future Developer for A.I.
Judging Criteria 評分準則 Score 佔分 Sub-total 分部總分
Originality and Creativity
30 80
Adherence to the Theme
Presentation Clarity
Grand total 總分 300

Terms and Conditions 計分細則

If multiple teams score the same, the rank is determined following these priorities:
(1) the one who complete Part I with fewer attempts wins;
(2) the one who complete Part I using less time wins

(一) 第一部分巡邏次數較少者勝;
(二) 第一部分巡邏時間較快者勝



Participating Units & Award List 參與單位及獎項

The performance of each team was recorded to determine the Champion, 1st Runner-up, and 2nd Runner-up of each participating unit. Please refer to the below for information:


Champion 冠軍: 趙梓維, 彭凱謙, 吳志威, 黃旖鈞

1st runner up 亞軍: 譚竣熙, 張俊杰, 林卓羲

2nd runner up 季軍: 吳國恒, 戴誌恒, 鍾梓軒

Champion 冠軍: 楊周祥, 潘瑋謙, 張文遜, 蔣定成

1st runner up 亞軍: 謝熙樂, 李柏熙

2nd runner up 季軍: 鄔日晞, 陳震滔, 李展維


Champion 冠軍: 周子晴, 何嘉文, 陳燕萍

1st runner up 亞軍: 譚彥希, 許廣寧

2nd runner up 季軍: 林頌平, 王澤勛 

Champion 冠軍: 林銘堯, 龔俊豪

1st runner up 亞軍: 吳欣賢, 黃琛瑜, 鄧嘉盈

2nd runner up 季軍: 邱瑞晞, 陳韻伊

Champion 冠軍: 何瑞偉, 盧晉宇

1st runner up 亞軍: 陳婉楠, 鍾漢曦

2nd runner up 季軍: 何建樂, 李思毅

Champion 冠軍: Malapane Tshepang, Pule Botshelo Princess, Sithole Sicelo Thokozani

1st runner up 亞軍: Ngoasheng Paballo Katlego, Ntuli Ziyanda Hope, Motlou Junior

2nd runner up 季軍: Tjale Lethlabile Alicia, Ntombi Phahlamohlaka





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