Object Counting using Roboflow RF-DETR
Learn how to count objects in video and live streams and handle crowding, occlusion, and duplicates.
Whether you're raising broilers, layers, or turkeys, farrowing and finishing pigs, running dairy or beef cattle, or managing hatcheries and processing intake, Roboflow reads the barn cameras you already have or a single camera you add, sees every bird and every animal, and turns the house into data, in real time.
Counting, Weight, and Growth:
Health, Welfare, and Behavior:
Reproduction, Operations, and Systems Integration:
Bring intelligence to every house today.
What is poultry and livestock monitoring with Vision AI?
Poultry and livestock monitoring with vision AI uses cameras in houses, barns, and pens and deep-learning models to count birds and animals, estimate weight and uniformity, monitor feed and water line activity, detect mortalities and downers, score lameness, gait, and posture, detect behavioral signs of heat stress, cold stress, and disease, monitor distribution and activity, detect calving, farrowing, and estrus, and verify biosecurity compliance. It replaces the twice-daily walk and the annual audit score with continuous measurement, alerts the grower or herd team when something changes, and feeds counts, weights, and welfare scores into flock and herd management, house controllers, and audit and certification systems. Roboflow supplies the detection and the record; your growers, veterinarians, and welfare officers own the thresholds, the interventions, and the standards.
Can Vision AI see individual birds in a house of 40,000?
Yes, with the right camera coverage, and that is a planning question rather than a model question. Ceiling-mounted cameras covering the house in zones see every bird in their field of view, and models trained on your houses, your breeds, your litter, and your lighting, including dim and red-light periods, learn to detect and count birds through crowding and occlusion, to separate a bird lying down from a mortality, and to read distribution and behavior across the zone. Counts per zone roll up to the house, weight is estimated from body size in the image calibrated against your platform scales, and behavior is read from movement over time.
Does this help with welfare audits and certification?
Yes, and continuous welfare data is where the value often shows up first with customers and auditors. Welfare programs such as the National Chicken Council guidelines, Global Animal Partnership, RSPCA Assured, and the Better Chicken Commitment, and buyer audits from major processors and retailers, assess mortality, lameness, stocking density, feed and water access, and behavior, and they assess them on the day the auditor visits. Vision monitoring produces those measures continuously across the whole flock or herd, with image evidence and timestamps, so a welfare score is a trend rather than a snapshot, a problem is fixed before the audit rather than found during it, and the documentation an auditor asks for already exists. Where a program requires a manual score, vision data sits alongside it.
Can it integrate with our house controllers and flock management systems?
Yes. Roboflow Inference runs on an edge device at the farm and exposes a standard API and webhooks, so counts, weights, alerts, and welfare scores flow into your existing systems: house and barn controllers and environmental systems for ventilation, lighting, and feed, flock and herd management platforms, integrator and processor reporting, veterinary and health records, welfare audit and certification documentation, and alerting into SMS, Slack, and Microsoft Teams for the grower and the service tech, through REST, MQTT, webhooks, and direct database writes.
