This Government Contract opportunity from Georgia was posted on June 12, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
AI-Based Pavement Distress Analysis & Scoring
Contract Overview
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AI Contract Overview
This contract involves the development and implementation of an AI and machine learning-based system to analyze pavement imagery for the City of Sandersville, Georgia. The primary objective is to detect, classify, and score various pavement distresses such as cracking and potholes, ultimately generating Pavement Condition Index (PCI) metrics. This advanced analytical approach aims to enhance the accuracy and efficiency of pavement condition assessments, supporting infrastructure maintenance decisions. Issued as a subcontract under NAICS code 541715, the contract was posted in June 2026 with a response deadline in late August 2026. Although specific location details and points of contact are not provided, the contract focuses on serving the city's needs through cutting-edge technology for pavement distress evaluation and scoring. The integration of AI/ML techniques is intended to streamline data processing and improve the reliability of pavement condition evaluations.
General Info
Place of Performance
GA, USASet-Aside
Documents
This scope was carved out of 2026-10.
The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.
2026-10 PAVEMENT MANAGEMENT PROJECT
AI Contract Breakdown
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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