S-0326
Indoor Dirt Detection Video Analytics Module
To develop an indoor dirt detection video analytics system for an automated cleaning robot. To identify and locate 3 types of indoor dirt in front of the robot through video analytics and send an executable signal to the cleaning robot's control logic; significantly improving the effectiveness of its cleaning ability.
City Management
Health
Transport
Deep Learning
Internet of Things (IoT)
Machine Learning
Video Analytics
The solution can be applied on multi-function cleaning and disinfection robotic system to perform the autonomous cleaning and disinfection works. Before all the cleaning actions, camera on the robot and video analytics module will be operated for the identification of target dirty regions on different surfaces, from carpets to polished smooth surfaces and from dry to wet dirt. The analysis could facilitate cleaning and disinfecting target dirty regions autonomously. It also could be used to notify operator once the cleaning task is completed and alert operator if another dirty region is identified.
Bayesian Co. Limited
51006355
Unit 1603, Tower 1, Silvercord, 30 Canton Road, Tsim Sha Tsui, Kowloon, Hong Kong.
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.