AI dairy cow monitoring: smaXtec vs Afimilk vs CattleEye

Choose which changes the farm needs to see

Dairy monitoring systems can observe internal physiology, behavior around the farm, or visible movement through the milking exit. smaXtec, Afimilk AfiFarm, and CattleEye use different combinations of sensors and analysis. This comparison focuses on health-monitoring information and daily animal priorities, with the hardware behind each observation kept visible.

smaXtec

smaXtec measures inside the cow using a bolus located in the reticulum. Its documented data includes internal body temperature, drinking and water intake, rumination, and activity. AI and established algorithms turn changes in those signals into alerts and practical information for herd management. TruAdvice adds indications of possible mastitis, ketosis, and milk fever, while the Digital Assistant helps organize animals requiring attention. The useful distinction is the internal measurement point: a temperature pattern may provide information that a camera looking at gait cannot observe. This suits dairies seeking earlier physiological context around transition periods, calving, and developing health problems. The wider system also supports reproduction and feeding decisions, while rumen pH measurement belongs to optional scope. Health alerts are indications for checking an animal, not a medical diagnosis. The farm still needs to interpret the cow’s situation and involve its veterinarian where appropriate; the software’s role is to make important changes easier to identify.

Afimilk AfiFarm

Afimilk AfiFarm brings sensor measurements and herd operations into one management environment. AfiCollar provides eating, rumination, and activity information; parlor equipment can add milk yield, conductivity, and related measurements. The ABC dashboard turns that information into attention and action lists, while standard and customizable reports help staff examine individual cows and group trends. Afimilk’s documented multi-sensor analytics combine behavioral and milk-related changes, with the exact reports dependent on the installed devices. This makes AfiFarm useful when the dairy wants health observations connected with reproduction records, milking routines, sorting, and wider management tasks. AfiCollar can also support standalone monitoring, but that still requires readers and AfiFarm software. AfiLab, milk meters, sorting gates, and feed-efficiency services add their own requirements. The strongest fit is therefore an integrated dairy workflow, particularly for a farm already using the equipment, rather than assuming that software alone supplies every health signal.

CattleEye

CattleEye uses standard 2D cameras above the milking-parlor exit to analyze how cows move and their visible body condition. It identifies animals using shape and coat-pattern information, avoiding a wearable on each cow. Mobility and body-condition scores feed a dashboard that can support trim lists and track changes over time. The current help material describes local edge processing, with scores synchronizing to the cloud when connectivity returns. This suits a dairy whose immediate monitoring gap is consistent hoof-health observation or body-condition tracking during an existing daily movement. Camera placement, exit-race suitability, identification, and network arrangements are part of installation eligibility. Its observations are narrower than the internal physiological signals in smaXtec or the combined parlor and behavior data in AfiFarm. That focus can be an advantage when the farm specifically wants daily visual scoring. The published online starter offer is currently UK-only and includes equipment, service access, and onboarding support.

Internal signals, behavior, or visible condition?

smaXtec’s bolus observes temperature and other internal or activity-related changes. Afimilk combines collar-derived behavior with the data supplied by installed parlor and herd equipment. CattleEye observes mobility and body condition as animals pass a camera. A farm investigating health changes around calving may value smaXtec’s physiological information. A dairy organizing many connected tasks may value AfiFarm’s broader operating context. A team seeking consistent lameness and body-condition priorities should examine CattleEye’s focused scoring. These are different observation layers, so one product’s alert count cannot be treated as a measure of equivalent coverage.

How the information reaches daily work

smaXtec packages unusual patterns into health indications and assistant-led task lists. AfiFarm organizes measurements, records, reports, and action lists around the whole herd-management process. CattleEye turns repeated camera observations into scores and hoof-care priorities. The practical difference is what staff need to do next: examine a cow with a physiological change, investigate connected behavior and production trends, or act on a mobility/body-condition list. CattleEye’s absence of wearables simplifies the animal-side equipment question, while smaXtec and Afimilk provide signals the exit camera does not measure. Existing farm software and hardware strongly influence which workflow fits.

Separate equipment from the service price

smaXtec and AfiFarm numeric system prices and billing intervals remain unconfirmed. Afimilk offers outright purchase or collar leasing, with readers and software required for standalone monitoring. CattleEye’s UK page lists £650 plus VAT for a one-camera setup and a first-year service equivalent of £0.50 per cow per month, rising to £1 from year two. Its twelve-month promotion does not establish a cancel-anytime monthly contract; the invoicing schedule and service tax treatment need confirmation. Those UK terms should not be applied to other countries or multi-camera installations. Compare the complete observation and software package rather than the cheapest displayed component.

Which should you choose?

Consider smaXtec for internal physiological alerts, AfiFarm for connected behavior and dairy operations, and CattleEye for daily camera-based mobility and body-condition scoring. Start with the health information the farm lacks, then match the equipment and workflow to that gap.