City Detect
4 Case Studies
A City Detect Case Study
The City of Cathedral City faced significant operational challenges within its Code Enforcement department, including inefficient manual processes, limited proactive capacity, and a lack of comprehensive data for identifying community blight. To address these issues and transform their reactive, complaint-driven workflow into a proactive, data-informed program, they partnered with City Detect.
City Detect implemented its PASS AI® platform, an AI-powered computer vision system that captures and analyzes street-level imagery to automatically detect a wide range of code violations and blight conditions from public roadways. The solution streamlined workflows, automated reporting, and enabled cross-department collaboration, resulting in the identification of 623 parcel violations and over 18,000 roadside issues. The platform acted as a force multiplier, allowing the city to reallocate staff time strategically, create a new job classification, and shift to a preventive enforcement model, fundamentally transforming their municipal operations.
Justin Gardiner
Director of Code Enforcement