The core of the Oblik system is its Сloud services that perform operations on reading recognition, checking, analyzing, storing and user data maintaining for applications and external services like Google Home, Amazon Alexa and others.
Digital reading values are stored together with the original picture in order to be proven at any moment.
Cloud uses the Machine Learning approach for permanent improvement of readings recognition coming from numerous meter types.
Oblik's predictions also use Machine Learning to find and track each user's consumption model because users are different.
The Oblik team is aiming to develop the Oblik core, making it more smart and robust with Machine Leaning and Artificial Intelligence Technologies.
| Feature | Oblik | Energomonitor | Altero MeterCam |
|---|---|---|---|
| Mobile application | • | • | • |
| Web application | • | • | |
| Budget usage statistics | • | ||
| Comparative resources consumption charts | • | • | • |
| Expenses forecasting | • | ||
| Data for making and paying utility bills | • | ||
| Meter readings database | • | • | • |
| Cloud data store | • | • | |
| Easy device installtion procedure | • | ||
| Compatibility with all (99%) meter types | • | ||
| Compatibility with meters without pulse output | • | • | |
| Compatibility with multi-tariff meters | • | • | |
| Compatibility with meters that have an electronic display | • | ||
| Real-time readings access | • | ||
| Requirements for calibration | • | • | |
| No construction works (drilling, screwing etc.) for installation | • | ||
| Role-based multi-user access accounts | • | ||
| Email notifications | • | • | • |
| Native application notifications | • | ||
| Google Home support | • | ||
| Amazon Alexa support | • |
