Aerial view of four monitored cattle pens at the Tuskegee University feedlot

Feedlot cattle inventory

Know what is in every pen.
Know what changed.

Compare expected head counts with camera observations. Review the mismatch or movement that needs attention—with the imagery behind it.

Discuss your feedlotSee what your team receives

Works alongside your yard software and EID/RFID records. No new wearable required.

From camera to crew

A short list of what needs a closer look.

Your software holds the expected record. Cameras add what was observed. Your team reviews the difference.

Fixed camera view of cattle at the bunk in the Tuskegee monitored feedlot
Actual camera view from the Tuskegee University research feedlot.
  1. 01

    Does the pen count match?

    Compare the expected head count with observed cattle by pen and time. Give the crew a mismatch to review, with the source imagery.

  2. 02

    What changed between counts?

    Review pen entries, exits, and wrong-pen events. See the movement evidence before updating processing or shipping records.

  3. 03

    Can chute identity follow the animal?

    Keep face, muzzle, and visible-tag reference views alongside EID/RFID records. Bring that context into missing-tag and pen-presence reviews.

Read the pen-count guide

Documented field deployment

Installed at Tuskegee.
Designed around your yard.

The research-feedlot installation records 60 cattle across four pens, with fixed cameras, on-site processing, and chute reference capture.

See the installation and field report

Start with the problem, then the camera plan.

Tell us which count, movement, or identity question costs your team time. A yard map is useful if you have one.

Coverage and performance depend on pen layout, camera geometry, power, network, and operating workflow. We design those together.

What we cover in a deployment plan

  1. Choose the inventory workflow

    Start with nightly pen reconciliation, movement exceptions, missing-tag review, or chute-to-pen identity continuity.

  2. Map the deployment footprint

    Use the yard layout, pen dimensions, power, connectivity, and desired field of view to specify cameras, lenses, and data infrastructure.

  3. Design the operating workflow

    Define how observed counts, movement exceptions, and identity context connect with yard records and the teams who use them.

  4. Expand the field platform

    Add coverage and workflows as the yard needs them.

Before you decide

Keep the systems your crew already uses.

Cameras add visual context to the known record. They do not replace official identification or your feedlot management software.

Explore Nose ID and chute capture
Can the system perform a nightly cattle headcount by pen?

The platform adds continuous observed counts and reviewable movement exceptions to the yard software your team already uses. Site-specific performance depends on the coverage, camera geometry, and operating workflow of each yard.

Does this replace our feedlot management software?

Livestock Technologies adds continuous observed counts, movement exceptions, and identity context to existing yard software. Your feedlot system continues to manage the records and workflows your team uses.

Does it replace EID or RFID tags?

The platform connects chute imagery and visual continuity alongside EID/RFID and official records: capture visible tag and animal reference views during processing, then connect those records to pen-presence and movement evidence.

What happens when a visual ear tag is missing?

The missing-tag workflow surfaces a reviewable exception with chute reference imagery, later observations, manifests, and known records for the team to inspect.

Will operators have to mine video or raw data?

The operating workflow is exception-first. Roles can receive the count mismatch, movement event, or identity review relevant to them, with source imagery available for inspection.

Do fixed cameras make periodic aerial inventory audits unnecessary?

Fixed cameras add continuous observed counts and movement evidence between point-in-time audits, giving teams visual context for what changed.

How do you price a commercial feedlot deployment?

Pricing starts with site assessment and design based on coverage, network, compute, camera placement, and the number of pens in the yard.

Can the same system support health and bunk-behavior monitoring?

The same camera infrastructure can preserve bunk, water, movement, and thermal evidence for additional review workflows that a yard chooses to scope.

Which pen needs a closer look?

Start a conversation about your yard. We'll work through the inventory question and the right coverage with you.

Discuss your feedlot

Prefer email? steve@livestock.tech