1. Background
As industrial and community safety demands increase, detecting dangerous human behaviors—especially falls—has become a critical concern. In industrial sites, workers may fall during construction or maintenance; in aging societies, elderly individuals living alone are at high risk of injury from falls.
Traditional video monitoring relies heavily on manual observation, which is time-consuming and prone to oversight. To solve this, FuweeVision developed an AI-based fall detection algorithm using advanced deep learning and computer vision, enabling automated, accurate, and real-time detection of human fall incidents.
2. Product Overview
The FuweeVision Fall Detection System is an intelligent image recognition software based on live video streams.
When a fall is detected in the camera view, the system automatically captures an image and triggers an alert. It can recognize various fall postures and directions (horizontal, vertical, or diagonal) under different lighting and environmental conditions.
The system works with existing surveillance cameras, requires no wearable sensors, and delivers fast, reliable real-time monitoring.
3. Workflow
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Front-end cameras upload live video streams to the central server in real time.
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The AI Fall Detection System continuously analyzes the video feed.
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When a fall is detected, the system captures evidence and sends alerts or output data as configured.
4. Features
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Automatically detects and captures human falls from live video streams.
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Supports all kinds of fall postures and directions.
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Works without wearable devices or additional sensors.
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Compatible with both bullet and PTZ cameras.
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Trained on 60 million visual samples to minimize false positives.
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Resistant to changes in lighting, shadows, camera angle, and background complexity.
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Trial use available upon request.
5. Technical Specifications
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Detection target: Human figure occupying >1/10 of image height; posture clearly visible.
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Example camera setup:
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2MP camera, 8mm lens — up to 50m detection distance
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2MP camera, 6mm lens — up to 30m detection distance
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Performance:
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Capture rate: ≥90%
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Accuracy: ≥80%
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System requirements:
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OS: 64-bit Windows (recommended Win10)
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CPU: Intel i3/i5/i7/i9, 4th gen or above
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RAM: ≥4GB (depending on camera count)
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No GPU required
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Each server supports up to 32 camera streams
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Compatible with Hikvision, Dahua, and other RTSP/RTMP/ONVIF streams
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Image resolution ≥2MP
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6. Application Scenarios
The AI Fall Detection System can be widely applied in:
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Construction sites — for worker safety monitoring
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Factories and workshops — to detect worker accidents
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Power substations and mining zones — for hazardous area protection
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Public areas such as communities, schools, and shopping malls — for elderly and public safety
By integrating AI-powered fall recognition with existing CCTV infrastructure, FuweeVision provides a powerful, cost-effective, and scalable safety monitoring solution for diverse industries.