ChickGuard AI Poultry Monitoring

ChickGuard AI – Intelligent Poultry Monitoring System

Advanced AI-powered monitoring and prediction platform built for commercial poultry farms using computer vision to detect, count, and track chicks in real time.

Overview

ChickGuard AI is an advanced AI-powered monitoring and prediction platform built for commercial poultry farms. It uses computer vision to detect, count, and track chicks in real time, while also providing health monitoring, environment predictions, stock forecasting, and profit analysis—all within a clean, easy-to-use dashboard.

The platform helps farm owners automate shed monitoring, reduce manual labor, minimize chick fatalities, and make better data-driven decisions using AI and predictive analytics.

ChickGuard AI Overview

Client Challenge

Poultry farms faced major challenges with manual monitoring, including difficulty in counting chicks accurately, no real-time visibility of chick activity (active/resting/alert), no automated way to track health or detect abnormal behavior, feed & medicine stock running out unexpectedly, no centralized dashboard for reports, predictions, or profit analysis, and time-consuming manual analysis of farm performance.

Farm owners needed a reliable AI system that could track chick count live, analyze health status, predict feed & stock requirements, identify chicks needing attention, reduce losses through real-time alerts, and provide fully automated business predictions.

Our Solution

FriendsWare Solutions developed ChickGuard AI, a complete intelligent monitoring platform featuring AI live monitoring, AI-powered business predictions, farm overview dashboard, environmental monitoring, and performance & role-based access.

Key Features

  • Real-time AI detection engine (CV + tracking)
  • WebSocket live video overlay
  • Multi-shed monitoring
  • Automated business predictions
  • Data visualization dashboards
  • Stock management & reminders
  • Modern UI with clean, minimal design
  • Mobile-friendly responsive layout

AI Live Monitoring

  • Real-time chick detection & tracking
  • Accurate AI count (Active, Resting, Alert categories)
  • Bounding box visualization with confidence score
  • Automated activity insights
  • Live alerts for abnormal behavior

AI-Powered Business Predictions

  • Feed forecasting (days remaining, reorder date)
  • Medicine stock analysis
  • Chick weight prediction by week
  • Health risk evaluation
  • Profit forecasting with monthly projections

Farm Overview Dashboard

  • Total live chick count
  • Healthy vs. attention-needed birds
  • Daily performance metrics
  • Mortality analytics
  • Net profit insights with percentage change

How It Works

  • Camera systems capture live video feeds from poultry sheds
  • YOLOv8/YOLOv9 AI models detect and track individual chicks in real-time
  • System categorizes chicks as Active, Resting, or Alert based on behavior
  • Environmental sensors monitor temperature, humidity, and conditions
  • AI analyzes patterns and predicts feed requirements, health risks, and profit
  • Dashboard displays live counts, alerts, and business insights
  • Automated notifications alert farm managers to issues requiring attention

Architecture & Security

  • Scalable cloud-based architecture for multi-farm deployment
  • Real-time WebSocket connections for live video streaming
  • FastAPI backend for high-performance AI inference
  • PostgreSQL database for reliable data storage
  • Role-based access control (Admin, Manager, Worker)
  • Secure API endpoints with authentication
  • Edge computing capabilities for on-site processing

Impact & Results

After deploying ChickGuard AI, farms achieved:

  • 90%+ accuracy in real-time chick counting
  • Significant reduction in manual labor
  • Early health issue detection through AI pattern monitoring
  • 2.5x faster decision-making through predictive analytics
  • Up to 18–22% higher profit due to reduced loss & optimized stock usage

Conclusion

ChickGuard AI transforms traditional poultry farming into a smart, automated operation. The platform is built for scalability, enabling multi-shed monitoring and advanced AI insights that help farm owners optimize performance and reduce overhead—making poultry management faster, smarter, and more profitable.

Tech Stack

AI & Computer Vision: Python, YOLOv8/YOLOv9, OpenCV, TensorFlow

Backend: FastAPI, Node.js, REST APIs, WebSockets

Frontend: React.js, HTML5, CSS3, JavaScript

Database: PostgreSQL

Infrastructure: Cloud deployment, Docker, Real-time streaming