AgTech Case Study Computer Vision

YardScan AI: Bridging the Digital-Physical Gap in Saleyards

Australian saleyards process thousands of cattle per sale day, yet 85% of yards have zero automated visual identification. Sparrofox built YardScan AI to add the visual layer to livestock management—automatically scanning brands and cross-referencing NLIS tags in real-time.

The Challenge

The vast majority of Australian saleyards use Outcross Systems for management, but identification remains a primary bottleneck. While NLIS (electronic) tags track identity, visual verification of brands is still a manual, high-stress task for yard hands.

Errors at the drafting gate—where cattle are sorted into pens—lead to lot mismatches, compliance issues, and financial losses. The industry needed a way to verify that the animal in the pen matched the data in the system, without adding more manual labor.

The requirement: "Automate brand scanning at the draft point and loading ramp, even when the internet is down."

The Solution

📡 Edge AI Vision

• Raspberry Pi 5 + Hailo NPU hardware for on-site inference
• No dependency on cloud processing—critical for regional connectivity
• Sub-second brand recognition and identification
• Ruggedized camera housings for harsh yard environments

🔗 NLIS & Outcross Sync

• Instant cross-reference between electronic tag and visual brand
• Auto-population of draft records into Outcross Systems
• Real-time alerts for "wrong animal, wrong pen" scenarios
• Digital paper trail for biosecurity compliance

📋 Automated Reporting

• Generation of NVD (National Vendor Declaration) movement logs
• Sale-day analytics (throughput, processing times, error rates)
• Historical database of all animals processed by the yard

Ready to modernise your yard?

YardScan AI is a custom solution built for the unique demands of Australian saleyards. Contact Sparrofox for a site assessment and integration roadmap.

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