Sole Source Notice - Zing Drone Detection Services

The Oregon Department of Corrections (ODOC) has issued a Sole Source Notice for a Drone Detection Services contract with Zing Drone Solutions, seeking to implement an advanced perimeter security technology through a pilot project. The procurement is specifically for a Software as a Service (SAAS) drone scanning system that utilizes AI-powered computer vision and RF analytics to identify, classify, and respond to unauthorized unmanned aerial vehicle (UAV) threats. The system's key technical capabilities include comprehensive risk management strategies such as secure data encryption, false-positive filtering, and defined detection zones, with machine learning models designed to detect drone activities while maintaining privacy by anonymizing data inputs. The sole-source procurement is structured as a pilot project to evaluate the technology's effectiveness, with success metrics including detection accuracy, reduced false alarms, rapid incident response, and user satisfaction during real-world testing. The notice was posted on June 27, 2025, with a protest deadline of July 4, 2025, during which affected parties can submit written objections to the Designated Procurement Officer via mail or email, providing detailed legal and factual grounds for their protest.

The procurement appears to have no specific set-aside designations or restrictions on responding organizations, and the contract is open to qualification-based evaluation. Zing Drone Solutions, located in Saint Petersburg, FL, is the sole proposed vendor for this pilot project. The estimated total contract value is $100,000, representing an initial investment to test and potentially develop a permanent drone scanning program for the Oregon Department of Corrections. The technology will replace current limited visual and radar technologies with a more comprehensive detection system. ODOC intends to use the pilot results to inform a future competitive Request for Proposal (RFP) solicitation, suggesting this is a preliminary exploration of drone detection capabilities. The system's design emphasizes technological integration, focusing on detecting drone hardware rather than surveilling individuals, and provides advanced features like AI-driven computer vision and RF signal analysis to enhance perimeter security monitoring.