Technologies Used
JavaScriptPython
Machine Learning
Sensors
Azure Machine Learning
Azure
Arduino
Vue.js
Project Team
About
Analyzing datasets to predict and prevent failures in urban property facilities. We use past events to make predictions and alert property managers on what actions to take.
Comments
Krzysztof Machowski - 673d
Thank you, the team from SHK were very helpful answering our questions during our intitial research.
Krzysztof Machowski - 673d
Indeed, with the rise of low cost hardware we will likely be seeing more of these sort of smart/ low power sensors.
Dr Toa Charm - 673d
How does it differentiate from the similar technologies in the market?
Good to have a specific problem to solve by your innovation and technology
Good to have physical objects to demo
Good visualization interface
Good use of preventive maintenance
Jainam Mehta - 673d
Thank you for your kind comments. There is definitely movement in this area, as evidenced by many articles stating such.
Jainam Mehta - 673d
We believe our differentiator would be our use of commodity hardware allowing for low cost sensors, as well as self-reinforcing machine learning that would reduce the work load in the future for on site staff.
Jason Chiu - 673d
Krzysztof Machowski - 673d