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Cattle Care Parlor Analytics

By Cattle Care

Last reviewed: January 2026

Video analytics for milking parlors using the OmniCow AI to analyze footage and detect deviations from standard milking protocols in real time.

Overview

Cattle Care is an AI-powered video analytics platform designed specifically for milking parlor operations. Unlike other AI camera systems that focus on animal health metrics, Cattle Care monitors employee performance, protocol compliance, and animal handling practices by analyzing existing security camera footage.

The system uses artificial intelligence to detect over 20 different protocol deviations in parallel parlors, sending real-time alerts with video clips to farm managers. This enables dairies to implement performance-based pay systems, improve milking protocols, and reduce somatic cell counts through better consistency.

Founded in San Francisco, California, Cattle Care has rapidly grown to monitor over 500,000 milking cows, making it one of the fastest-growing AI parlor monitoring systems in the industry.

Snapshot

Description: AI video analytics platform that monitors milking parlor operations, detecting employee protocol deviations and animal handling issues through automated video analysis.

Who It's For: Dairy farms seeking to improve milking consistency, reduce SCC, implement performance-based pay, and ensure protocol compliance.

What It Does Best: Provides objective, automated monitoring of employee performance and milking protocols without requiring additional human observers.

Why It Matters: Inconsistent milking protocols directly impact milk quality, SCC, and parlor efficiency. Automated monitoring enables data-driven management and accountability.

Ideal Users

Farm Types: Commercial dairies with milking parlors (herringbone, parallel, rotary)

Herd Size: Most beneficial for herds of 500+ cows where consistent protocol execution is challenging to monitor manually

Roles: Farm owners, herd managers, parlor managers, quality assurance staff

Main Features

Protocol Compliance Monitoring

Detects missed routines including pre-dip, post-dip, wiping, stripping, and teat cup attachment timing

Employee Behavior Tracking

Monitors for excessive phone usage, smoking, aggressive animal handling, and other policy violations

Video Clip Alerts

Sends short video clips of detected violations to managers for review and training

Shift Performance Reports

Daily dashboards showing compliance rates by shift, employee, and protocol type

Positive Event Tracking

Counts and reports good behaviors (proper post-dipping, stripping, wiping) not just violations

Multi-Area Monitoring

Extends beyond parlor to holding pen, milk tank room, and other critical areas

Data and Integrations

Integrates With: Existing security camera systems, cloud-based dashboard, mobile devices

Data Flows: Video footage uploaded via encrypted VPN to cloud servers for AI analysis. Results delivered via web dashboard and mobile alerts.

Implementation

Timeline: Setup typically 1-2 days for camera integration, immediate AI analysis upon connection

Infrastructure: Works with existing security cameras or new camera installation. Requires internet connectivity for cloud processing.

Installation: Often zero upfront cost if existing compatible cameras are in place

Tips

  • Communicate transparently with employees about monitoring purpose
  • Use data for coaching and training, not just discipline
  • Establish baseline metrics before implementing performance pay
  • Review violation clips regularly with parlor staff
  • Training and Support

    Training: Dashboard navigation, alert interpretation, performance review best practices

    Support: Cloud-based system with remote troubleshooting, ongoing software updates

    Pricing

    Model: Monthly subscription with no upfront hardware cost in many cases

    Summary: Contact for pricing. ROI typically demonstrated through improved milk quality and reduced SCC.

    Pros and Limitations

    Strengths

  • Monitors employee performance objectively without human observers
  • Works with existing security camera infrastructure
  • Enables performance-based pay systems
  • Validated by Cornell University research
  • Covers multiple facility areas beyond parlor
  • Military-grade encryption for video security
  • Limitations

  • Focused on employee/protocol monitoring rather than animal health metrics
  • Requires reliable internet connectivity
  • Cloud-based processing (video uploaded off-farm)
  • Privacy considerations require transparent employee communication
  • Best For

  • Dairies struggling with protocol consistency
  • Operations wanting to implement performance-based pay
  • Farms with high employee turnover needing training accountability
  • Large parlors where manual supervision is impractical
  • Not Ideal For

  • Small family operations without hired employees
  • Farms primarily seeking animal health monitoring
  • Operations without existing security cameras or internet
  • Evaluation Questions

  • What is our current SCC and what are our protocol consistency issues?
  • Do we have existing security cameras that are compatible?
  • How will we communicate the monitoring system to employees?
  • What metrics will we use for performance-based pay?
  • Who will review alerts and video clips regularly?
  • Key Features

    • OmniCow AI Protocol Monitoring: Analyzes milking footage to detect missed pre/post dip, using one towel on multiple cows, premature unit detachments, improper attachment
    • Video Clip Alerts: Short video clips of irregularities automatically captured and sent to dashboard for review
    • Employee Scoring: Scores each worker's routine and highlights errors for training and accountability
    • Phone/Distraction Detection: Flags when milkers are distracted on phones or not following procedures
    • OmniCalf Monitoring: Monitors maternity and calf pens for critical events like calf placement and timely colostrum feeding

    Advanced Features

    • Performance-Based Pay Integration: Enables data-driven compensation systems with objective metrics
    • Multi-Facility Monitoring: Extends coverage to holding pen, milk tank room, and other critical areas beyond parlor
    • Positive Behavior Tracking: Counts and reports good practices not just violations for balanced performance assessment

    Ideal For

    Farm Types: Dairies using milking parlors, Operations with hired milking staff

    Competitive Advantages

    What sets Cattle Care Parlor Analytics apart from alternatives:

    • OmniCow AI specifically trained for milking protocol detection
    • Currently monitoring 650,000+ cows on 155+ farms
    • Works with existing CCTV or installed cameras
    • OmniCalf module extends to maternity and calf areas
    • Proven SCC reduction results on farms of all sizes

    Pricing Information

    Here is the pricing information for Cattle Care Parlor Analytics:

    Comparable to $40/camera/month. Setup involves few thousand dollars for camera installation if needed. Clients report tool returns many times subscription cost in saved cows and higher milk quality.

    Pricing Model: Monthly subscription based on number of cameras or milking stalls

    Pros & Considerations

    Advantages:
    • Monitors employee performance objectively without human observers
    • Works with existing security camera infrastructure
    • Enables performance-based pay systems
    • Validated by Cornell University research
    • Military-grade encryption for video security
    • 500,000+ cows monitored
    Considerations:
    • Focused on employee/protocol monitoring rather than animal health metrics
    • Requires reliable internet connectivity
    • Cloud-based processing
    • Privacy considerations require transparent employee communication

    ROI & Value Proposition

    Understanding the return on investment for Cattle Care Parlor Analytics:

    Farms report significant SCC reduction and returns many times subscription cost through saved cows and higher milk quality.

    Implementation & Setup

    How to implement Cattle Care Parlor Analytics on your dairy operation:

    Implementation Timeline: Setup typically 1-2 days for camera integration, immediate AI analysis upon connection

    Training & Support

    Training and support options available for Cattle Care Parlor Analytics:

    Evaluation Questions

    Key questions to consider when evaluating Cattle Care Parlor Analytics:

    1. What is our current SCC and what are our protocol consistency issues?
    2. Do we have existing security cameras that are compatible?
    3. How will we communicate the monitoring system to employees?
    4. What metrics will we use for performance-based pay?
    5. Who will review alerts and video clips regularly?

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