What the cameras can observe
See the direct camera evidence, the observations software can organize from it, and the feedlot or research decisions each measurement is designed to support.
Measurement principle
Observe the signal. Preserve the evidence. Let a person decide what it means.
Directly observed
Color or thermal imagery, time, location, and presence inside a configured view.
Computed for the site
Detections, counts, zone use, and movement candidates shaped by camera geometry and rules.
Reviewed by people
Source evidence supports the operator, researcher, or animal-health professional making the decision.
Six monitoring areas
A useful cattle monitoring system connects camera observations to the inventory, movement, zone, identity, and research workflows that teams need to review.
Which cattle are visible in the expected pen, and where does observed presence differ from the operating record?
What the platform records
Operational value: Gives yard teams continuous observed counts and reviewable exceptions alongside the records they already use.
Did a transfer, gate passage, or pen change occur as expected?
What the platform records
Operational value: Connects movement events to visual context so teams can review changes between counts.
Is an animal or group appearing in the expected feed and water areas on its normal schedule?
What the platform records
Operational value: Provides time-stamped zone activity for bunk and water-area review.
What visible detail and surface-temperature pattern can help a qualified person review an animal or event?
What the platform records
Operational value: Pairs visible and thermal context across day and night for field and research review.
How can chute imagery create visual references alongside the records already used by the operation?
What the platform records
Operational value: Builds controlled-chute identity context into existing livestock records and review workflows.
Which observations, time windows, labels, and evidence are required to answer the study question?
What the platform records
Operational value: Gives research teams a field platform for study measures, review, and exports.
Overall scope: the platform records camera observations and evidence for configured areas, zones, chute passages, and research workflows; teams use that evidence alongside their operating records and professional judgment.
Real field views
The two channels answer different parts of the review. Color imagery provides visible context such as animal position and scene detail. Thermal imagery preserves surface-temperature and presence patterns when visible-light conditions change.
The value comes from pairing each observation with its time, location, configured zone, and supporting evidence for the people reviewing the operation.
See the Tuskegee field deployment
Digital camera view
Visible scene context and configured zone activity.
Thermal camera view
Surface and presence evidence in low visible light.
From signal to action
The source observation stays connected to the count, movement candidate, identity reference, or study measure it supports, so a person can understand why it deserves attention.
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.
Common questions
Livestock Technologies works as a camera-based observation layer alongside EID, RFID, inventory systems, manifests, and the operating software a team already trusts.
A change in activity, zone use, visible appearance, or surface-temperature pattern gives animal-health professionals and operations teams time-stamped evidence for review.
Yes. Research teams can define species, study zones, observation windows, labels, validation methods, evidence retention, and exports around a specific protocol.
Match the measurement to the mission
Feedlot operators can focus on inventory, movement, and continuous review. Researchers can define study-specific behaviors, validation, and exports.
For feedlot teams
Build a camera evidence layer around the records and workflows your yard already uses.
Explore feedlot solutionsFor researchers
Shape observation windows, labels, validation, evidence retention, and export requirements.
Explore research partnerships