scenseit is an IoT company that delivers high end product that will provide in real time the indoor & air quality in a simple way on one hand and on the other allow you to get more info on your envirioment. the system will analyse the user home air enviroemtn, and will allow him to control his exposure for danger pollution, thud reducing the risk of sickness. The product will also allow the user to spread fragrance in a controlled and fully automated way, which will reduce his cost. We will provide prediction for the upcoming days. The product will consist of several sensors (VOC, CO, Co2, o3, particles). the user will be able to connect several devices that will enable him to control all of his home. on the server side we will collect outdoor air quality and through the use of geographical location algorithm will provide a detail information on the air pollution in the current location. we will provide the user a remote access app to control his device, but will allow after some time ...
scenseit is an IoT company that delivers high end product that will provide in real time the indoor & air quality in a simple way on one hand and on the other allow you to get more info on your envirioment. the system will analyse the user home air enviroemtn, and will allow him to control his exposure for danger pollution, thud reducing the risk of sickness. The product will also allow the user to spread fragrance in a controlled and fully automated way, which will reduce his cost. We will provide prediction for the upcoming days. The product will consist of several sensors (VOC, CO, Co2, o3, particles). the user will be able to connect several devices that will enable him to control all of his home. on the server side we will collect outdoor air quality and through the use of geographical location algorithm will provide a detail information on the air pollution in the current location. we will provide the user a remote access app to control his device, but will allow after some time to build an automated control for the device after learning the user habits - when he's out of the home, etc..
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