Top Data Science

Monitoring certain key sensor measurements is crucial in many industrial applications for a number of reasons, such as quality and stability control, safety considerations and so on. Another reason could be identification of need for maintenance of critical parts of the system.
Please check our latest blog where we explain how we used deep neural networks and time series forecasting to support a leading Japanese energy company to advance their predictive maintenance practices.

https://topdatascience.com/time-series-forecasting-of-critical-sensor-data/

Time series forecasting of critical sensor data Monitoring certain key sensor measurements is crucial in many industrial applications for a number of reasons, such as quality and stability control, safety considerations and so on. Another reason could be identification of need for maintenance of critical parts of the system. Depending on the impl...

It is a great privilege to collaborate with one of the biggest energy companies in Japan to transform analog meter reading with computer vision.

In our blog we describe how deep neural networks are used to provide high accuracy and reliable meter and measurement detection even with a limited amount of data.

Check out the blog:
https://topdatascience.com/transforming-analog-meter-reading-with-computer-vision/

Transforming Analog Meter Reading with Computer Vision Power plants often rely on a diverse range of analog and digital meters to monitor their operations. To ensure the smooth functioning of the plant, it is essential to visually inspect and record the measurements from these meters each month. However, this task can be time-consuming and prone to huma...