S-0856
CMLO 海岸垃圾智能监测平台(无人机 AI 测绘及洁净度指数)
CMLO converts drone imagery of shorelines into standardised, georeferenced litter density maps, material-category classifications and a quantitative cleanliness index. AI model is trained based on over 2.6 million annotated litter items detect objects down to about 2 cm, with results gridded at 10 x 10 m and aligned to international indicators (UN SDG 14.1.1b, EU MSFD). The platform has been deployed across 23 countries in more than 1,800 survey flights. It replaces subjective visual cleanliness ratings with repeatable, quantified and comparable data, enabling departments to target cleaning resources, verify the effectiveness of clean-up operations and generate monitoring reports automatically.
城市管理
环境
康乐及文化
人工智能
数据分析
图像识别
流动技术
CMLO converts a manual, subjective five-level visual rating into a quantified, auditable and time-comparable index.
How it improves public services:
(1) objective, photo-verifiable cleanliness ratings for every surveyed shoreline, comparable across sites and across time;
(2) density maps by material category, so clean-up resources are deployed where litter actually accumulates;
(3) before/after quantification of clean-up operations, providing the effectiveness data currently missing;
(4) automated bilingual monitoring reports.
Costs and benefits: the solution is flight-based and requires no permanent installation, no hardware on-site and no system integration required.
A one-kilometre shoreline is surveyed in a single flight of under one hour; outputs are delivered within days. A full proof-of-concept covering multiple sites and several survey cycles is about HK$250,000.
前沿策略有限公司
+85244029740
7/F, Centre Parc, 11 Sheung Yuet Road, Kowloon Bay, Kowloon, Hong Kong
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