The company had to send technicians onsite to download battery health parameters.
We implemented electronics to collect, process and transmit data to the cloud. Carried out cloud computing to monitor the critical live battery parameters. Implemented machine learning techniques to predict useful battery life and impending failure conditions.
The implemented IoT solution ensured uptime and operational efficiency of the asset powered by the battery.