AI Brand Scanning for
Australian Cattle
Visual brand identification that supplements NLIS. Camera-based AI at the crush, in the yards, and at the saleyard. Fast enough for drafting-speed operation.
The Problem
What NLIS Doesn't Cover
NLIS tracks animals through electronic ear tags. But tags get lost, readers malfunction, and visual brand verification is still done by eye. There's a gap between the tag system and the animal.
✗ Lost & Damaged Tags
NLIS ear tags get torn out, damaged in yards, or become unreadable. When an animal loses its tag, identification falls back to visual brand reading — which is manual, slow, and error-prone in a dusty yard.
✗ Manual Brand Reading at Speed
Cattle move through yards at pace. Reading hip brands on a moving animal through dust and hair is unreliable. Brands overlap, fade, and distort — human eyes miss what AI can catch.
✗ Saleyard Bottlenecks
Australian saleyards process thousands of head per day. Manual verification creates bottlenecks at the draft point. Every delay costs money — and frustrated producers walk away from sales.
✗ Compliance Documentation
NVDs, movement records, and compliance paperwork still require manual data entry. Errors propagate through the supply chain, creating traceability gaps that only surface during audits or disease outbreaks.
The Solution
CattleVision: Visual AI That Supplements NLIS
Not a replacement for NLIS — a powerful supplement. Camera-based brand scanning that works alongside ear tag systems to provide a second layer of identification.
Camera at the Crush or Lane
Mount a camera at the crush, race, or drafting point. CattleVision captures brand images as cattle pass — no handler intervention needed.
AI Identifies the Brand
Computer vision isolates the hip brand through hair, dust, and movement. Matches against registered brand databases for the relevant state.
Cross-Reference NLIS
Scanned brand data is cross-referenced with NLIS tag reads. Mismatches are flagged instantly — catch wrong-pen sorting, tag swaps, and identification errors before they cost money.
Generate Compliance Records
Automatic documentation for NVDs, movement records, and audit trails. Every scan is timestamped, geotagged, and stored locally.
🔗 NLIS Integration Architecture
Electronic tag → panel reader → NLIS database. Standard industry flow.
Camera → brand recognition → cross-reference. Visual confirmation layer.
Two independent systems confirming the same animal. Tag loss, reader failure, or human error caught instantly.
Market
A Massive, Underserved Market
Cattle in Australia
Saleyards use Outcross — zero AI
AU agritech CAGR
Competitors with AI brand scanning
Integrations
Works With Your Existing Systems
CattleVision is designed to plug into the platforms you already use.
NLIS / MLA
Direct integration with National Livestock Identification System databases.
AuctionsPlus
Integration with Australia's largest online livestock marketplace.
Stocklive
Live auction integration for real-time identification during sales.
FarmGate
Compliance and movement record integration.
Outcross Systems
Designed to complement the platform 85% of AU saleyards already use.
Open API
RESTful API for custom integrations with any farm management software.
Hardware
Runs on a $100 Edge Device
CattleVision runs on a Raspberry Pi 5 with a Hailo NPU. No internet required. Mount it at the crush, connect a camera, and you have AI brand scanning that works in the middle of nowhere.
- ✓ Works offline — no internet required
- ✓ Weatherproof housing options
- ✓ Solar powered option for remote yards
- ✓ Data syncs when connectivity available
- ✓ No recurring cloud compute costs
FAQ
Cattle Brand Scanning Questions
Straight answers for saleyards, feedlots, producers, and stock agents evaluating computer vision as a second identification layer beside NLIS.
Does CattleVision replace NLIS tags?
No. CattleVision supplements NLIS with visual verification. It is built to catch tag loss, missed reads, wrong-pen sorting, and brand-record mismatches before livestock move through the yard or saleyard process.
Where can AI cattle brand scanning be used?
The strongest fit is fixed capture points: crushes, drafting races, feedlot lanes, loading ramps, and saleyard intake lanes where camera angle, NLIS reads, and operator workflow can be tied together.
Can it work without reliable internet?
Yes. The architecture is intended to run on an edge device beside the camera, so scanning can continue locally in regional yards and sync results later when connectivity is available.
What does a pilot need?
A practical pilot needs one controlled camera position, representative footage from the yard flow, a sample of branded cattle, and a target workflow such as NLIS reconciliation or saleyard intake.
Who is CattleVision best suited for?
Saleyard operators, feedlots, cattle producers, stock agents, and compliance-focused operations that handle enough livestock volume for small identification errors to become expensive, slow, or risky.
Be First in the Yards
CattleVision is in development. Register your interest and we'll notify you when early access opens. Early adopters get priority onboarding and founding-member pricing.
Register Your Interest →