Background
In many critical positions — such as control tower operators, monitoring centers, and power plant supervisors — leaving a post unattended is strictly prohibited, as even a brief absence can result in severe accidents or production hazards.
However, manual supervision of these positions is often challenging and unreliable.
To address this issue, FuweeVision developed an AI-powered Post Departure Detection System, which leverages advanced video analytics to automatically identify when personnel leave their designated stations, ensuring safety and accountability in real time.
Product Overview and Workflow
1. Product Overview
The FuweeVision Smart Safety Management System – Post Departure Detection Module is an intelligent image recognition solution based on real-time video streams.
By integrating deep learning and big data analysis, the system replaces manual observation with automated AI detection, instantly recognizing when personnel leave their assigned posts.
This system utilizes existing surveillance cameras, requires no additional hardware, and provides real-time monitoring, recognition, and alerts to strengthen on-site safety management.
2. Working Process
-
Front-end cameras continuously upload live video streams to the system server.
-
The Post Departure Detection System analyzes the video stream in real time.
-
If a person leaves their workstation, the system automatically captures and saves the event image, while triggering alerts or notifications as configured.
(See Figure 1: Workflow of the Post Departure Detection System)
System Features and Technical Parameters
(1) Departure Detection
-
Automatically identifies personnel leaving their workstation to prevent potential safety risks.
-
Supports both indoor and outdoor environments.
-
Adjustable monitoring time intervals to avoid repeated or unnecessary alerts.
-
Recognizes partial or full body, standing or sitting postures, and both front or back views.
-
Multiple detection zones can be configured within one camera’s field of view.
(2) Alert Function
-
Millisecond-level response for immediate alerts.
-
When a departure is detected, the system can issue voice alarms, onscreen warnings, or mobile notifications to ensure prompt action.
(3) Technical Specifications
-
Directly integrates with existing RTSP-compatible cameras.
-
Fully automatic AI analysis — no manual supervision required.
-
Recognition accuracy: >95%
-
Detection frequency: Adjustable according to server capacity.
-
Supported camera channels per server: 4–50 (depending on hardware performance).
Hardware and Environment Requirements
-
Supported Camera Brands: Hikvision, Dahua, Uniview, and other mainstream RTSP cameras.
-
Installation Angle: Less than 60° from the horizontal line.
-
Recommended Server Configuration:
-
CPU: Intel i7 (11th Gen or above)
-
Memory: 32 GB
-
Storage: 1 TB
-
Supports up to 32 camera channels (configurable)
-
-
Operating System: 64-bit Windows 10, Windows 11, or Windows Server 2016+
Applications
The Post Departure Detection System is ideal for any environment requiring continuous human supervision, including:
-
Air traffic control towers
-
Power plants and refineries
-
Security monitoring centers
-
Industrial production sites
-
Transportation hubs and logistics centers
By automating the supervision of key posts, FuweeVision helps organizations reduce human error, improve safety oversight, and strengthen operational discipline.