S-0235
Pixel Eye Safety Helmets Detection
Considering the large and increasing number of construction projects conducted in the HK, there is a growing need to develop innovative methods to monitor the safety of the workers at construction sites automatically.
We aim to automatically detect the uses of construction helmets (e.g., whether the construction worker wears the helmet or not) by analyzing the construction surveillance images. Based on the collected images, we first detect the object of interest (i.e., construction worker) and analyze whether the worker wears the helmet or not by using computer vision and machine learning techniques.
城市管理
发展
就业及劳工
环境
基础设施
人工智能
数据分析
深度学习
机器学习
自然语言处理
影像分析
Imagine you want to monitor a vast construction site or a large factory to see whether people wear their safety gear. Monitoring people 24/7 across a large area is almost impossible with human operators. Our technology can detect whether people were wearing their safety helmets and generate an alert in case they weren’t.
Application Technology Co. Ltd
34897999
Unit 207, 2/F, 19W, 19 Science Park West Avenue, Hong Kong Science Park.
若政府部门欲对创科方案进行PoC试验或技术测试,请联络Smart LAB。