For feedlots, ranches, and agriculture auditors. We build custom computer vision engines that count cattle via drone or gate camera with 99.9% accuracy, automating inventory audits and preventing shrinkage without manual labor.
Livestock inventory is your bank balance standing in a field. Yet, most operations rely on rough estimates or manual clickers. Relying on human counting creates three financial risks.
A 2% error on a 10,000-head feedlot means 200 missing animals. That’s $400,000 in lost revenue. Our vision-based AI provides audit-grade counts to verify assets for bank loans.
Manual counts take days of labor, extra riders, and stress on the cattle. With our AI vision software running on your drone or cameras, you can count animals in minutes, without moving the herd or causing shrinkage.
When cattle bunch up at a gate or chute, people miss animals in the middle. Our overhead vision tracking follows each animal individually, so even during fast loading or unloading, every head gets counted once.
Manual counts often don’t match records across systems, leading to disputes and financial discrepancies. Our AI ensures consistent, verifiable data across operations and reporting.
We build AI and computer vision that program drone flights to scan thousands of acres, stitch the footage, and accurately count every animal, automatically separating cattle from rocks, brush, and shadows.
For shipping/receiving, mount a camera above the loading ramp. The system counts animals as they load onto the truck, providing a video-verified digital receipt to prove exactly what was shipped.
For daily ops, cameras mounted on feed trucks or pen riders' helmets scan the bunk line. The AI compares the visual count to your records, flagging "Ghost Cattle" (dead or missing) instantly.
Cows look different from 10ft (Gate) vs 100ft (Drone). We train models on multiple datasets to recognize the dorsal (top-down) view of the animal regardless of height.
When cows bunch together, they look like one big blob. We use Instance Segmentation (Mask R-CNN) to draw outlines around individual animals, separating a "cluster of 5" into five distinct counts.
For gate counting, we don't just count frames. We track the unique ID of the cow as it moves across the screen. If a cow walks back and forth, the logic corrects the count (-1 / +1) to prevent duplicates.
No internet in the pasture? No problem. We deploy the counting model on the drone controller or a ruggedized tablet, giving you the final number before you even leave the field.
Folio3 AI has built an advanced livestock monitoring solution using computer vision and behavioral analysis to automate counting, track animal health, and optimize farm operations at scale. Key Outcomes Achieved 99.9% accurate livestock counting with AI vision Reduced labor costs through automated monitoring and reporting Detected early health and behavior anomalies in real-time Improved operational efficiency with data-driven livestock insights
Automate livestock counting with AI vision to reduce errors, save time, and maximize operational efficiency.
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
