Project Highlights
- Implemented an object detection model to monitor pigs’ postures (standing or lying) and locations in real time.
- Enabled applications such as statistical analysis and counting pigs in the camera view.
- Deployed edge computing solutions for real-time monitoring and analysis on-site.
- Enabled continuous tracking of movements, anomalies, and eating behaviors for proactive intervention.
Client Challenges
- Labor-Intensive Monitoring: Manual tracking of pigs’ postures and movements was time-consuming and prone to errors.
- Inconsistent Data Collection: Lack of a reliable system to gather and analyze behavior data across different pens.
- Limited Insights: Difficulty in leveraging data for statistical purposes or for detecting potential anomalies in real time.
Solutions
TMA Solutions implemented a real-time pig detection system that uses computer vision technology to monitor pig activity and posture. This innovative solution addresses challenges in livestock management, providing tracking solutions for statistical and operational purposes.
- Implemented a YOLOv5-based object detection model to monitor pig postures and positions with precision.
- Integrated real-time monitoring for pig counting and behavior tracking.
- Deployed edge processing technology for instant anomaly detection on-site.
- Enabled comprehensive tracking of movement, feeding behavior, and anomalies to support proactive farm management.
Benefits
- Proactive Disease Management: Early detection of diseases and anomalies reduced mortality rates and improved overall animal health.
- Enhanced Efficiency: Automated monitoring minimized manual observation efforts, reducing labor costs and errors.
- Increased Profitability: Early interventions and reduced losses due to disease led to significant cost savings and improved operational efficiency.
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