AI/ML Video Analytics Engine Development

The contract seeks the development and integration of AI and machine learning models designed for real-time detection of wrong-way vehicles using edge-based video analytics. The work will focus on deploying intelligent algorithms directly on edge devices to process video feeds with low latency, enabling immediate identification of vehicles traveling in the wrong direction on highways or restricted roadways. Key objectives include model tuning for high detection accuracy, optimizing computational efficiency for edge hardware, and significantly reducing false positives through advanced filtering and contextual analysis techniques. The solution must operate reliably under varying environmental conditions such as lighting changes, weather, and camera angles without relying on cloud infrastructure. This is a subcontract under the NAICS code 511210 for software publishing, issued by the Missouri Department of Transportation, St. Louis District. The solicitation was posted on August 10, 2026, with a response deadline of August 17, 2026, at 3:00 PM. The contract emphasizes performance at the network edge, requiring vendors to deliver a complete, self-contained system capable of continuous operation without constant connectivity. While specific deliverables are not outlined here, the scope implies development of both software models and supporting infrastructure for integration into existing traffic monitoring systems, with performance benchmarks focused on speed, precision, and operational robustness to enhance highway safety.