The Golden Hour: Rapid Contact Tracing for Swine Health

The moment a symptom is flagged—whether it is a cough in the nursery or a sow off-feed in the farrowing unit—the clock starts ticking. In the management of pathogens like ASF or PRRS, the speed of your response determines the scale of your loss.

The immediate questions are always the same: Who was in that pen? How long were they there? Where did they go next?

In traditional setups, answering these questions relies on handwritten logs or human memory, both of which degrade quickly under stress. Sentri replaces guesswork with forensic-level data, using your camera network to create an automated history of every interaction on the farm.

The "Black Box" of Farm Operations

Most farms know who entered the main gate. Few know exactly what happened inside the barn. Sentri’s Monitoring Overview fills this gap by turning your cameras into presence sensors. As seen in the dashboard, the system tracks critical data points for every defined area:

• Presence Detection: How many times was movement detected?

• Duration (First Seen / Last Seen): Exact timestamps of activity.

• Identity: Who specifically was present (via Facial Recognition).

This data transforms a vague "I think John was there this morning" into a concrete fact: "John was in the Green Area-South Production from 06:21 to 16:31 with 91 detections".

Scenario: The Trace-Back

Imagine a scenario where a sow in "Unit 1" flags a fever. With Sentri, the investigation is digital and immediate:

1. Identify the Exposure: You pull up the camera logs for Unit 1. The system shows that three specific staff members were present during the incubation window.

2. Analyze Dwell Time: By looking at the "First Seen" and "Last Seen" timestamps, you identify that Staff Member A spent 45 minutes in the unit, while Staff Member B just walked through. You now know who carried the highest risk of contamination.

3. Trace the Path: You pivot to Staff Member A's profile. The system reveals their subsequent movement: after leaving Unit 1, they proceeded to the "Pink Area-Delivery Corridor" at 08:15.

Beta Feature: The AI Analyst

While having the raw data is powerful, analyzing it during a crisis takes time. That is why we are introducing Sentri AI Agents (currently in Beta).

These Large Model (LLM) agents act as an always-on analyst that digests the video and movement data for you. Instead of you manually cross-referencing timestamps, the AI Agent analyzes the trends and provides proactive recommendations.

How the AI Agent helps during an outbreak:

• Trend Analysis: The AI reviews the "Monitoring Overview" data to spot irregular movement patterns, such as a worker moving from a "dirty" zone to a "clean" zone without sufficient dwell time in the shower area.

• Automated Recommendations: If a high-risk event is detected, the AI generates specific action items, such as "Recommend immediate isolation of Green Area-GDU due to potential cross-contamination path detected at 14:00".

• Compliance Auditing: The AI continuously validates if standard operating procedures (SOPs) were followed during the movement, flagging specific deviations for review.

Conclusion

You cannot manage what you cannot measure, and you cannot contain what you cannot see. Sentri provides the visual intelligence required to turn a potential outbreak into a managed event. Whether through manual review of forensic data or AI-driven recommendations, Sentri ensures that when you act, you act with certainty.