The CEMIT Intelligent Railway System™ redefines how you build, operate and maintain railways. As an intelligent predictive fault identification system for the railway industry, we use it to integrate data silos from different sources, including mounted inertial measurement units and machine vision cameras, into one holistic system.
The data, gathered during normal operational hours, is analyzed using advanced intelligent algorithms in order to identify anomalies and accurately predict when maintenance is required. The System delivers clear and measurable improvements on fault reduction, accuracy, efficiency and predictability by using smart sensors, machine learning, and data visualization, in combination with our unique railway expertise.
CEMIT Intelligent Railway System™ technology has been designed specifically with maintenance, delay, and reach-issues in mind. By perfecting the way we measure, share, and use data to not only streamline rail travel, but improve how and where it can be built, CEMIT’s goal is to contribute to a greener, safer and better future for the global rail industry.
CEMIT Intelligent Railway Technology will ensure early fault detection during continuous monitoring of rail infrastructure.
CEMIT Intelligent Railway Technology will assist in maintenance planning thereby limiting downtime and increasing accuracy.
CEMIT Intelligent Railway Technology will result in more efficient transportation, resource utilization, and maintenance based off the analysis of acquired and existing data.
CEMIT Intelligent Railway Technology will deliver increased predictability by using smart sensors, machine learning, and data visualization in combination with unique railway expertise.
Utilizing low cost railway sensors, the CEMIT System is able to effectively gather data during normal operational train times.
Integrating a super-scalable Cloud system, CEMIT gathers data from any sensor or source into one accessible location, eliminating the use of data silos.
Combining advanced Artificial Intelligence (AI) with railway domain analytics gives CEMIT technology the immense power to predict and prevent issues before they arise.
CEMIT has designed intuitive dashboards and visualization tools that directly make railway operations and maintenance smarter, safer, and more sustainable.
A low cost, off the shelf hardware, combined in innovative ways to create large amounts of valuable information. Intelligent algorithms in sensor, edge computers and the cloud make sense of the data, providing accurate insight and enabling us to see things from a new perspective. Without the need to integrate with onboard systems, the hardware is straightforward when both installing and removing.
This is a cloud infrastructure built intentionally for scalability. It receives data from all sources, keeps it there securely, and allows the AI/ML system to operate within the data to create valuable and usable insights. Holding all datatypes, whether raw or refined, the results, measurements and calibration reports enables the AI/ML to train and refine itself based on the data it's collecting. Additionally, the cloud can integrate with any 3rd-party source that would be beneficial to expose through the unified CEMIT API. The integration can be in the form of duplication or access.
Working from the large amounts of collected cloud data, the AI/ML Engine is built to predict the future. By taking previous happenings and developments into account, it can tell you what to expect. Through such data-based predictive insights, you will have the tools needed to improve company decision making. Such valuable insights will also enable a shift from preemptive maintenance to predictive maintenance, supporting a goal to only replace what you have to when you have to. The result is a significant reduction in costs and waste.
High performance, low latency, and secure APIs provide access to the cloud. Use them to build a customized visualization service (as we have), or use them to power your business tools. Get ready-made results at an instant, or trigger long-running processes and return to see the results.