Building a Cattle Ultrasound Monitoring App for K-State

BCI Scan cattle ultrasound monitoring app interface
Kansas State University veterinary research application dashboard
Cattle ultrasound data collection and analysis platform

About the Client

Kansas State University's Beef Cattle Institute (BCI) is a leading research center focused on advancing cattle health, production efficiency, and veterinary education. Based in Manhattan, Kansas, BCI conducts applied research that directly impacts feedlot operations and herd management practices across the U.S.

BCI needed a purpose-built mobile tool that could bring real-time ultrasound imaging into the field — enabling veterinarians and ranch personnel to capture, evaluate, and process diagnostic data on-site rather than relying on lab-based workflows.

The Challenge

K-State needed a modern mobile app for veterinarians and ranch personnel to capture real-time ultrasound images using the Butterfly Network SDK, complete structured questionnaires, and process results through external disease-likelihood algorithms, with secure web-based review across feedlots.

The project required deep hardware SDK integration, structured clinical data collection, and algorithmic analysis — all packaged into a field-friendly mobile experience that could operate reliably in feedlot environments with inconsistent connectivity.

The Solution

Active Logic built BCI Scan, a Flutter-based mobile application with deep Butterfly Network SDK integration, structured clinical workflows, and a secure web dashboard for multi-herd data review.

Deep SDK Integration

Integrated the Butterfly Network SDK for live ultrasound imaging directly within the mobile app, enabling veterinarians to capture diagnostic images in real time and store them immediately for review and analysis.

Structured Data Collection

Built post-sonogram structured data collection workflows tailored to herd-health evaluation, allowing field personnel to complete standardized questionnaires tied to each ultrasound session for consistent clinical records.

Algorithmic Analysis & Review

Implemented disease likelihood scoring through external algorithmic analysis, with a secure multi-herd dashboard enabling researchers and veterinarians to review results across feedlots from any web browser.

The Outcome

BCI Scan replaced fragmented, lab-dependent workflows with a single mobile tool that veterinarians and ranch personnel use directly in the field. Ultrasound capture, structured questionnaires, and disease-likelihood scoring now happen on-site — reducing turnaround time and improving the consistency of herd-health evaluations across multiple feedlot operations. The secure web dashboard gives researchers centralized visibility into diagnostic data across herds, supporting both day-to-day veterinary decisions and longitudinal research at the Beef Cattle Institute.

Technology

Flutter Mobile Development SDK Integration

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