An agency in Texas is seeking information from vendors regarding the provision of a hazard detection and monitoring system designed to deliver real-time alerts at high-risk railroad areas. The desired system should be capable of detecting, classifying, and alerting relevant personnel—including operators, dispatchers, supervisors, police, and maintenance employees—about hazardous situations at rail grade crossings, station platforms, bridges, tunnels, and other critical points along the railroad right-of-way.

The agency is particularly interested in solutions that leverage multi-sensor configurations such as LiDAR, radar, video, and thermal imaging for comprehensive detection at various ranges. The use of AI and computer vision technologies to detect, classify, and track objects like pedestrians, vehicles, and debris is required. Automated, real-time alerts should be generated without the need for manual intervention, with the ability to prioritize these alerts based on severity. The proposed system should support integration with existing railroad infrastructure to minimize new installation costs and offer flexibility in network communications, including wired, cellular, and satellite options.

Additional requirements include a secure system architecture featuring modern firewalls, encrypted communications, and strict user access controls, as well as network segmentation for enhanced cybersecurity. The solution must be scalable to support multiple locations while maintaining high performance and reliability. Centralized management tools for monitoring and configuration, along with configurable alert prioritization and escalation settings, are also essential to ensure appropriate responses based on user roles.