Continuous camera-based cattle inventory for commercial feedlots: reconcile observed pen counts, flag movement exceptions, and connect visual identity evidence with the EID/RFID workflow you already use.
Start with the inventory, movement, or identity workflow that matters most to your yard, then design the field platform around it.
Installed and recording at the Tuskegee University research feedlot
Your software records what should have happened. Cameras add evidence of what the yard actually observed—then send people the exception, not another dashboard to watch.
Compare the head count your yard expects with the cattle the camera system observes. Focus staff on mismatches instead of asking them to recount an entire yard.
Surface cattle-out, gate, alley, and wrong-pen events while there is still time to correct the operating record before the next processing or shipping decision.
Capture visual tags, face, and muzzle views at the chute and connect that evidence to the EID/RFID workflow you already use. Chute reference imagery provides identity context alongside EID/RFID and official records.
What the feedlot team receives
The system organizes camera observations around the yard record so operators can investigate a count mismatch, movement event, or identity question without mining hours of video.
Fixed color and thermal cameras preserve time-stamped views of pens, gates, bunks, alleys, and the chute.
Computer-vision models, geometry, time, and thermal values organize detections into count, presence, movement, and reference observations.
Observed count differs from the yard record
Expected
60
Observed
Review
Illustrative interface—not a reported field result.
Expected records and observed activity are compared so the team can focus on a pen mismatch, movement event, or identity review.
Source evidence ready
Review the moment, then choose the action.
Illustrative workflow; deployment outputs are scoped to the site or study.
The operator or researcher sees the relevant time, location, and source imagery before deciding what happens next.
Direct observations come from captured imagery and time. Counts, movement exceptions, identity associations, and study measures are produced through deployment-specific models, geometry, rules, and validation.
An EID gives the animal a unique electronic record at a read point. A camera can preserve the visual tag, face, muzzle, location, and movement evidence around that record. The practical workflow is not one technology replacing the other—it is a stronger association at the chute and more context between reads.
Processing workflow
Read EID/RFID → capture visual tag and reference views → associate the records → carry observed pen presence and movement evidence forward for review.
USDA guidance describes cattle traceability as important to health management, marketability, and feedlot inventory, and encourages retaining animal-origin and movement records. Read the APHIS feedlot guidance.
Explore the Nose ID chute workflow
Controlled chute capture connects animal-reference imagery to the yard's known records.
Configure the output around the role. Management sees reconciliation. Yard staff see the exception. Technical teams can inspect the source evidence and full record when needed.
Management
An exception list tied to time, pen, and reviewable evidence.
Yard operations
A focused movement or wrong-pen review instead of a yard-wide recount.
Processing & records
Visual tag and animal-reference evidence associated with the known chute record.
Start with the operating workflow that matters most, then design the cameras, network, compute, and review flow around the yard.
Bring your yard map or drone survey if you have one. We will use actual dimensions and operating needs to design the right deployment footprint for your pens.
Start with nightly pen reconciliation, movement exceptions, missing-tag review, or chute-to-pen identity continuity.
Use the yard layout, pen dimensions, power, connectivity, and desired field of view to specify cameras, lenses, and data infrastructure.
Define how observed counts, movement exceptions, and identity context connect with yard records and the teams who use them.
Add coverage and workflows as the yard needs them.
The Livestock Technologies platform is installed and recording 60 cattle across four pens at the Tuskegee University research feedlot. The installation combines fixed camera coverage, on-site processing, chute reference capture, and continuous day-and-night recording.
Site-specific performance is designed around each yard's coverage, geometry, network, compute, and operating workflow.
Read the Tuskegee deployment field reportThe platform adds continuous observed counts and reviewable movement exceptions to the yard software your team already uses. Site-specific performance is designed around each yard's coverage, geometry, and operating workflow.
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.
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.
The missing-tag workflow surfaces a reviewable exception with chute reference imagery, later observations, manifests, and known records for the team to inspect.
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.
Fixed cameras add continuous observed counts and movement evidence between point-in-time audits, giving teams visual context for what changed.
Pricing starts with site assessment and design based on coverage, network, compute, camera placement, and the number of pens in the yard.
The same camera infrastructure can preserve bunk, water, movement, and thermal evidence for additional review workflows that a yard chooses to scope.
Build the field platform for your yard
Tell us your head count, pen layout, current inventory process, and the exception you need to catch. We'll design the right deployment footprint for your yard.
Discuss a Feedlot DeploymentPrefer email? steve@livestock.tech