Acuity and Accuracy
Even a tiny natural phenomenal change in the space can be detected by device. The ups and downs of the temperature, rise and fall for the air quality, and a flare of flame, are all supervised by this app.
The machine learning algorithm developed also makes the analysis less probable to be wrong. Users can count on our output and make a devision how to tackle the problems which have been detected.
The machine learning algorithm developed also makes the analysis less probable to be wrong. Users can count on our output and make a devision how to tackle the problems which have been detected.
Holistic Approach
Take indoor and outdoor cases into consideration. We simulated a user's daily life and measured everywhere he/she could stay in weekday and weekends, office and home, kitchen and garden and so on. Try the best to eliminate blind spot locations that could have bad air quality and harm people's body health.
Muti-Functional IoT device
Using python multithread programming to let device do multiple works simultaneously and increase its throughput for uploading data to AWS. Besides, with the physical functions support like fire alarm service, this IoT app can act both data analyzer and security guard.
Cost and Effective
The total budget of this IoT app is no more than 30 dollars, including building the backend and front end server, while it performs well in data collecting and security insurance. If we could have more budget, we would give it more good-looking appearance which would attract consumers to spend money on it when shopping in the mall.