What we monitor

Know where to look.
See what changed.

Cattle counts, movement, bunk visits, and more—with camera evidence behind each observation. Start with the question your team needs answered.

Discuss your priorities See the technology
Tagged cattle standing in a pasture at the Tuskegee University research deployment
Cattle at Tuskegee University. Every deployment starts with the animals, site, and question being studied.

Six monitoring areas

A practical answer to a real question.

Choose the area that matters to you. Coverage and measurements are configured for your site or study.

Configured per site

Inventory and presence

Does the observed pen count match the yard record?

Compare camera-observed counts with expected inventory, then review the evidence behind a possible mismatch.

What we record
  • Camera-observed cattle counts within defined coverage
  • Expected-versus-observed pen reconciliation
  • Evidence for possible missing, additional, or obscured animals

Configured per site

Movement and pen continuity

Did that transfer happen as expected?

Connects movement events to visual context so teams can review changes between counts.

What we record
  • Time-stamped activity at covered gates, alleys, and chutes
  • Track continuity across configured camera views
  • Review clips for wrong-pen or movement-record exceptions

Configured per workflow

Bunk and water-zone review

Has bunk or water-area use changed?

Review when cattle enter a configured zone, how long they stay, and changes in visit timing or frequency.

What we record
  • Presence and dwell time inside configured zones
  • Changes in visit timing or frequency
  • Evidence for absence or reduced zone use

Configured or research use

RGB and thermal context

What can color and thermal imagery show together?

Pairs visible and thermal context across day and night for field and research review.

What we record
  • Color imagery for visible context
  • Thermal surface patterns and asymmetry
  • Paired evidence from the same covered area or passage

Controlled chute workflow

Identity at the chute

Can a chute passage add an identity reference?

Builds controlled-chute identity context into existing livestock records and review workflows.

What we record
  • Face, muzzle, and visible-tag reference capture
  • Time-stamped chute passages
  • Visual references associated with EID/RFID and manifests

Configured per study

Research measures and exports

What does your study need to measure?

Gives research teams a field platform for study measures, review, and exports.

What we record
  • Study-defined zones, events, and observation windows
  • Reviewable clips and time-stamped records
  • Structured exports tied to the agreed research plan

Real views from the field

Different views.
More context.

Color imagery shows the animal and its surroundings. Thermal imagery adds surface-temperature and presence patterns as light conditions change.

These separate field views show what each camera captures. Teams review observations with their time and location; animal-health professionals make health decisions.

See the Tuskegee field deployment
Digital camera view of cattle gathered along a feed bunk
Color viewPosition and scene detail.
Thermal camera view of cattle positioned along a feed bunk at night
Thermal viewSurface and presence patterns.

From signal to action

See the observation. Inspect the evidence.

Source imagery stays connected to the count, movement, identity reference, or study measure it supports.

Models, camera geometry, site rules, and validation are configured for your operation or study.

  1. Capture the view

    Cameras record what happened, where, and when.

  2. Measure the activity

    Software organizes counts, presence, movement, and thermal observations.

  3. Compare with your records

    Site rules highlight a count mismatch, movement event, or identity to review.

  4. Review the source

    Your team checks the image or clip and decides what to do next.

Before you plan a site assessment.

Does the system replace EID, RFID, or feedlot management software?

Livestock Technologies works as a camera-based observation layer alongside EID, RFID, inventory systems, manifests, and the operating software a team already trusts.

How do behavioral and thermal observations support review?

A change in activity, zone use, visible appearance, or surface-temperature pattern gives animal-health professionals and operations teams time-stamped evidence for review.

Can the same platform support university research?

Yes. Research teams can define species, study zones, observation windows, labels, validation methods, evidence retention, and exports around a specific protocol.

Which question would you start with?

Tell us what your crew or research team needs to see. We'll discuss the coverage and records that fit.

For feedlot teams For researchers
Discuss your monitoring needs