Integrating Drones into Police Patrol Operations

With support from the Ohio Office of Criminal Justice Services (OCJS), researchers from The Ohio State University’s conducted an implementation study of the Columbus Division of Police’s (CDP) Rapid Aerial Vehicle Enforcement Network (RAVEN) Pilot Program, a recently launched initiative designed to integrate drone technology into police patrol operations. The purpose of the study was to document how CDP has incorporated drones into patrol operations, identify promising practices and implementation challenges encountered, and develop recommendations to support future program development. The study also sought to capture lessons learned that may assist other Ohio law enforcement agencies considering the adoption or expansion of similar drone programs.

The study employed a mixed-methods case study design that combined quantitative and qualitative data sources. Researchers analyzed drone flight records and Computer-Aided Dispatch (CAD) data, conducted interviews with the RAVEN program manager, aviation-unit leadership, and drone pilots, reviewed relevant policies and program documents, and conducted field observations of drone operations during two major public events.

The analysis found that the RAVEN program was successfully integrated into CDP’s patrol operations and demonstrated operational value across a wide range of policing activities. Between November 2025 and July 2026, the program recorded 1,315 drone flights, including 637 flights associated with 308 unique CAD incidents. Drones were deployed in support of both citizen-generated and officer-initiated events and were used for a variety of activities including suspect searches, missing-person searches, scene overwatches, public events, and protest response operations. Nearly half (48%) of all drone-supported calls for service involved Priority 1 or Priority 2 calls, indicating that drones were frequently deployed during incidents requiring elevated levels of police response and enhanced situational awareness.

Interviews, field observations, and analysis of administrative data indicated that drones provided real-time situational awareness for officers and incident commanders. Personnel reported that drones improved monitoring of evolving incidents, enhanced search operations, assisted with perimeter management, and provided information that helped officers assess potentially hazardous situations before committing personnel. Researchers observed these benefits firsthand during large public events, where aerial perspectives improved commanders' awareness of crowd movements and changing situations. Thermal-imaging capabilities of drones were also identified as particularly valuable during suspect and missing-person searches.

This study also identified several implementation challenges affecting the efficiency, responsiveness, and long-term scalability of the RAVEN program. The most significant challenge stemmed from the patrol-based deployment model. Because drone pilots were required to travel to a suitable launch location before deploying an aircraft, aerial support was often delayed. As a result, drones were reported to be not first on scene in most requested deployments. While drones provided significant value during searches, special events, and other extended incidents, these deployment delays limited their ability to contribute during the earliest stages of rapidly evolving calls for service. This limitation was particularly evident in Priority 1 incidents, where reported effectiveness was lower than for less time-sensitive events that allowed greater opportunity for aerial support to be deployed and integrated into operations.

Staffing capacity emerged as a second major implementation challenge. Drone pilots performed aerial-support responsibilities in addition to their regular patrol duties, meaning that pilot availability was often influenced by patrol staffing levels, competing assignments, and supervisory decisions regarding officer deployment. Participants also identified inconsistent availability of trained visual observers, further constraining deployment capacity. The assessment also identified opportunities to improve training, policy development, and performance measurement. Pilots expressed support for additional refresher training, while interviews highlighted the need for standardized visual-observer training and increased supervisor awareness of drone capabilities and operational uses. The study further found that existing data systems do not yet support rigorous evaluation of program outcomes such as response times, apprehensions, officer safety, or operational efficiency.

Four strategic priorities emerged from the assessment. First, CDP should strengthen operational capacity by expanding pilot and drone availability and evaluating alternative staffing models, including dedicated drone operators. Second, CDP should improve deployment effectiveness by exploring alternative deployment approaches and strategically positioning drone resources in areas with high operational demand. Third, CDP should strengthen data integration and performance measurement systems to support future evaluations of operational outcomes and return on investment. Finally, continued attention should be given to governance, accountability, transparency, privacy protections, and community engagement as the program expands.