Railway Track Inspection with RedX
Case Study: Railway Track Defect Monitoring.
Background:
In the fast-paced telecommunications industry, ensuring the safety of workers during the construction and maintenance of tower infrastructure is paramount. A leading tower company, which specializes in erecting and leasing tower structures to telecom operators, aimed to elevate its safety protocols. To achieve this, they turned to innovative AI technology and partnered with us to deploy a state-of-the-art solution.
The Challenge:
It is critical to identify any defects in railway lines, especially those used by ports and large warehouses on a daily basis. Hence, the client wanted an automated system that could not only help in identifying such defects on railway tracks, but also pinpoint the location for quick repairs.
The Solution: RedX AI Automation Platform:
In order to continuously monitor the railway track, we created and installed a special hardware device on the brake van (the last coach of a train). During operations, the dedicated camera with integrated computer vision scans the railway track’s clips. After real-time image processing, if any clip is found to be missing from the track, the built-in GPS module is activated to extract the precise geo-location of the missing clip.
Impact & Results:
The deployment of the RedX platform transformed safety monitoring from a manual, error-prone process to an automated, efficient, and reliable system. The ground-based human tracing cameras provided comprehensive coverage of the site, enabling real-time detection and alerts for any safety gear non-compliance.
This not only streamlined the monitoring process but also significantly enhanced the safety culture among workers. The tower company experienced a marked reduction in safety incidents and non-compliance, highlighting the effectiveness of integrating AI technology into safety protocols.
Conclusion:
The integration of RedX at the tower company’s construction sites has set a new industry standard for safety and efficiency. This case study exemplifies our dedication to harnessing AI for meaningful applications, ensuring safer work environments, and leading the charge in technological innovation within traditional sectors.
This case study highlights our commitment to improving workplace safety through technological innovation, demonstrating how AI can be leveraged to make traditional industries safer and more efficient.