Fridge sensors: IoT application development
The core of the project is an IoT solution providing HoReCa venues with a possibility to monitor the work of industrial (commercial) refrigerators online, get instant alerts on urgent issues and manage historical data.
Business сhallenge
The objectives of the project set for SumatoSoft team by the Client were the following:
- to plan, design and develop an MVP (minimum viable product) version of
the solution to prove the feasibility of the project to potential investors and
demonstrate an effective solution to future clients; - to implement Big Data and Machine Learning solutions;
- to integrate the new application into the ecosystem of the client’s existing
solutions.
By the time the client turned to SumatoSoft for software development assistance and guidance they had already developed and tested the
required devices.
The major challenge of our team was to develop administrative and enduser panels, implement core features for monitoring, visualization of data (multiple indicators: temperature, electricity, door sensors, etc.), database management, and provide integration with the data source.
In addition, the Client requested introducing AI & ML algorithms for anomaly detection.
SumatoSoft team was also entrusted with connection of the IoT devices (smart sensors) to the wireless network, enabling transmission and processing of data collected by the sensors:
- develop administrative and end-user panels;
- connect IoT devices;
- implement features for data transmission, processing, visualization and database management.
Our solution
SumatoSoft created an application with main technological features, sufficient for initial commercial use and user feedback.
MVP included:
- a tool for data gathering and systematization;
- a web panel for service administration and sensors setup;
- a web panel for end users.
The application incorporated a number of specific features, such as:
- robust integration with an external data source (Firebase);
- integration with JS library for extensive data visualization;
- custom system for roles administration with extended permissions management;
- machine learning integration;
- Ddata visualization.
The solution allows to:
- monitor refrigerators in real time (condition, temperature, whether doors are closed);
- detect anomalies and get instant alerts in case of emergencies;
- be notified when refrigerators need to be repaired;
- access and control historical data and analyze statistics introduced in intuitive and interactive dashboards (track condition over time).
Results
The Client succeeded in testing the business idea: the solution was presented to potential customers, received positive feedback and approval, which allowed the client to move forward with the project development. What is more, major existing customers of the Client have shown an interest in the product and placed orders.
Have an app idea?
Let’s start with a free quote!
See our other case studies
Graphical user interface for robot operation
IoT application with sensors for industrial fridge monitoring
Innovative big data trading platform
