S-0810
AI城市與物業邊緣智能系統
This solution is an edge computing device that comes with over 60 built‑in AI algorithms, including facial recognition, intrusion detection, personal protective equipment (PPE) detection, illegal parking detection, people counting, and more. The device can be deployed at the edge in construction sites, corporate campuses, office buildings, or refuse transfer stations, analysing camera feeds in real time without uploading video to the cloud – reducing latency and ensuring data privacy. It effectively enhances construction site safety, enterprise personnel management, and operational automation, contributing to the development of smart cities.
城市管理
工商業
基礎設施
法律及保安
人工智能
雲端運算
電腦視覺
數據分析
深度學習
圖像識別
物聯網
影像分析
How to Improve Public Services: Traditional surveillance relies on post‑event playback and cannot prevent violations or accidents in real time. This solution identifies events such as missing hard hats, intrusion, smoking, illegal parking, and more at the edge in real time, pushing alerts to the management platform or on‑site public address system within seconds, significantly improving response speed.
Costs and Benefits:
● Costs: A single device can replace multiple servers, requires low-cost GPU, and has low power consumption.
● Benefits:
○ Construction site accident rates is reduced, decreasing work stoppage losses and insurance claims;
○ Manual monitoring costs is reduced;
○ Data remains on‑premises, complying with privacy ordinance requirements.
知榆科技有限公司
+85221113142
Unit 9, 8/F, Nan Fung Commercial Centre, 19 Lam Lok Street, Kowloon Bay, Kowloon, Hong Kong
若政府部門欲對創科方案進行PoC試驗或技術測試,請聯絡Smart LAB。