What challenges did BrickRed Systems LLC face before AI implementation?

Manual cattle counting is inefficient and error-prone. Farmers struggle with timely prey detection, risking livestock security. Stakeholders lack real-time insights into herd health and anomalies. Scalability and secure data handling are difficult with traditional methods.

What was the impact of the AI solution?

Automated cattle counting increased accuracy and time savings for farmers. Instant anomaly detection enhanced herd safety and management. Improved communication with stakeholders via live reports and dashboards. Farms benefit from scalable, secure, and tailored management tools.

Source

Microsoft

BrickRed Systems automates livestock management for farms in Canada

Use case typeLivestock monitoringUpdated Jun 13, 2026

BrickRed Systems LLC developed an AI-powered cattle counting and monitoring solution for farms in Newfoundland and Labrador, Canada, using Azure technologies. Manual livestock counting and prey detection traditionally led to inefficiencies and inaccuracies. Leveraging computer vision AI integrated with Azure Cloud, the solution automates accurate and real-time collection of cattle numbers while monitoring for anomalies or predators. Farmers gain efficiency, receive live actionable insights, and can proactively manage risks and herd health. Reports and dashboards are tailored for each farm, while scalability, security, and compliance are assured by the Azure platform. As a result, farmers save significant time, reduce errors, and enhance farm management by leveraging advanced automation and continuous monitoring via cloud services. The solution seamlessly integrates Azure AI, Vision, and Azure Cloud for reliable and scalable operations. Designed as a proof-of-concept, it showcases real impact in Canadian agriculture where actionable intelligence and automation are transformative.

Organization: BrickRed Systems LLC
Industry: Agriculture
Location: Canada

Reported outcomes

Strategic outcomes

New product / capabilityAutomated real-time cattle countingRisk & complianceEnhanced herd safety and risk monitoringBetter decisions & insightLive actionable herd insightsScale & capacityScalable secure farm management tools

Primary read

Use case focus

Showing 2 of 2

1Automated Livestock Counting and Prey Detection Using Computer Vision
2Real-Time Farm Management Insights with AI

Manual cattle counting is inefficient and error-prone.
Farmers struggle with timely prey detection, risking livestock security.
Stakeholders lack real-time insights into herd health and anomalies.
Scalability and secure data handling are difficult with traditional methods.

Developed an AI-powered visual recognition tool using computer vision for real-time cattle counting.
Integrated prey detection and anomaly alerting system for herd safety.
Real-time reporting and customizable farm dashboards.
Deployed on Azure Cloud ensuring scalability, compliance, and security.

Technologies

Azure AI Vision Azure Cloud