AI Camera Technology
Overview
Buyer
Place of Performance
NAICS
PSC
Set Aside
Original Source
Timeline
Qualification Details
Fit reasons
- NAICS alignment with historical contract wins in similar service areas.
- Scope strongly matches core technical capabilities and delivery model.
Risks
- Past performance thresholds may require one additional teaming partner.
- Potential clarification needed on staffing minimums before bid/no-bid.
Next steps
Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.
Quick Summary
The Food Safety and Inspection Service (FSIS), under the Department of Agriculture, has issued a Request for Information (RFI) titled "AI Camera Technology" (RFI Number: FSIS-FY26-0002). This RFI seeks industry insights on AI Camera Technology to enhance FSIS's capabilities in detecting pathogens, contaminants, and performing visual inspections in food processing environments. The information gathered will inform future procurement strategies and technology implementations. Responses are due by February 20, 2026.
Purpose & Objectives
FSIS aims to explore AI Camera Technology solutions that can assist in improving food safety by accurately detecting pathogens, identifying contaminants, and performing real-time visual inspections. This initiative supports the Poultry Products Inspection Act's requirement for postmortem inspection, with technology assisting inspectors without compromising food safety.
Scope of Interest
FSIS is interested in solutions addressing:
- Pathogen Detection: Capabilities, accuracy, sensitivity, and limitations.
- Contaminant Identification: Effectiveness in detecting physical, chemical, and biological contaminants.
- Visual Inspection: Ability to identify defects, foreign objects, and anomalies, including resolution, speed, and accuracy.
- Cost Estimates: Detailed breakdown of implementation, setup, maintenance, and ROI.
- Implementation: Proposed timelines and models (FSIS-implemented vs. plant-implemented), including training, calibration, and monitoring.
- Data Security & Regulatory Compliance: Measures for data privacy, encryption, access controls, and adherence to food safety regulations.
- Training & Support: Programs for FSIS personnel and technical support availability.
- User Feedback & Scalability: Mechanisms for feedback and the technology's ability to accommodate varying volumes.
- Integration with Existing Systems: Compatibility with current FSIS infrastructure, considering environmental factors (temperature, condensation, cleaning), blind spots, lighting, storage, and processing speed.
Requested Information
Respondents should provide detailed information on their AI Camera Technology solutions, including case studies, past performance, cost models, recommendations for Key Performance Indicators (KPIs), and potential implementation barriers. Information on required Government FTE time is also requested.
Reverse Industry Day
FSIS will host an in-person Reverse Industry Day in Beltsville, Maryland, during the last week of February 2026. This event will allow technology providers to present their perspectives directly to FSIS teams. Interested parties must indicate their interest by February 13, 2026. Questions for the Reverse Industry Day are due by February 9, 2026.
Submission & Deadlines
- RFI Responses: Submit electronically in PDF format to George.Baptist@usda.gov and monika.masei@usda.gov by February 20, 2026.
- Interest in Reverse Industry Day: Submit to the same emails by February 13, 2026.
- Questions for Reverse Industry Day: Direct to monika.masei@usda.gov by February 9, 2026.
Disclaimer
This RFI is for planning purposes only and does not constitute a solicitation or obligation. No compensation will be provided for responses.