MVIS leverages the power of AI and machine learning to automate and optimize the inspection process of rolling stock. By using advanced image processing, our system identifies defects and other anomalies in wagons. It significantly enhances operational safety, reduces downtime, and minimizes manual inspection errors, providing railway operators with comprehensive insights for timely maintenance and predictive analysis.
Using advanced fiber-optic technology, L2MRail has developed the innovative Wheel Impact Load Detection (F-WILD) system in partnership with RDSO and Indian Railways. This cutting-edge system monitors wheel health by capturing wheel signatures as trains pass over an instrumented track zone. The data is processed in real-time, securely stored in private cloud servers, and made accessible through a customized GUI for authorized personnel, with critical alerts sent to designated authorities.
Using advanced fiber-optic technology, L2MRail has developed the innovative Wheel Impact Load Detection (F-WILD) system in partnership with RDSO and Indian Railways. This cutting-edge system monitors wheel health by capturing wheel signatures as trains pass over an instrumented track zone. The data is processed in real-time, securely stored in private cloud servers, and made accessible through a customized GUI for authorized personnel, with critical alerts sent to designated authorities.
Advanced real-time management system for industrial sidings, powered by our proprietary Cyber Signalling technology. Combining the IoT-based Track Occupation Information System (ITOIS) and Wireless Operation of Point Machine (WOPM), it ensures 24/7 wireless monitoring with second-by-second data recording. Designed for decentralized control, it enables seamless operations for multiple on-the-move operators, with real-time cloud-based data access for authorized personnel.
The Automatic Detection of Uneven Loading by Optical Sensing Technology is a cutting-edge system designed to monitor and detect uneven loading in railway wagons. It utilizes advanced Fibre Bragg Grating (FBG) sensing technology to identify load imbalances with high precision. The system incorporates edge computing, cloud-based data processing, and novel algorithms to analyze the data in real-time. Alerts are automatically sent via SMS, WhatsApp, or email, enabling quick responses to potential issues.
The Automatic Detection of Uneven Loading by Optical Sensing Technology is a cutting-edge system designed to monitor and detect uneven loading in railway wagons. It utilizes advanced Fibre Bragg Grating (FBG) sensing technology to identify load imbalances with high precision. The system incorporates edge computing, cloud-based data processing, and novel algorithms to analyze the data in real-time. Alerts are automatically sent via SMS, WhatsApp, or email, enabling quick responses to potential issues.
