1. Background
Belt deviation (or conveyor belt misalignment) is one of the most common faults in conveyor systems. It can be caused by uneven belt tension, misaligned joints, or uneven material distribution.
Such deviation can lead to material spillage, system downtime, and serious equipment damage.
In today’s labor-constrained industrial environments, continuous manual supervision is impractical — intelligent monitoring has become essential.
To address this need, Fuwee Vision has developed an AI-powered Belt Deviation Detection System to support industrial safety and operational efficiency.
2. Product Overview
Fuwee Vision’s Belt Deviation Detection System is an AI-based video analytics solution that uses deep learning and big data technology to monitor conveyor belts in real time.
The system automatically detects belt misalignment and sends alerts to operators through multiple channels such as HTTP push notifications, WeChat messages, and on-site audio broadcasts.
It requires no additional hardware, making deployment simple, fast, and cost-effective.
3. Workflow
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Front-end cameras continuously upload live video streams to the system server.
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The AI detection engine analyzes the video feed in real time.
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Upon detecting belt deviation, the system automatically sends alerts through HTTP, WeChat, or loudspeaker broadcasts to notify on-site personnel.
4. Key Features
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Real-time detection and monitoring of conveyor belt deviation.
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Compatible with both bullet and dome cameras, offering flexible installation.
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Multi-channel alerting via HTTP, WeChat, and on-site speakers.
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Accurate recognition under varying lighting conditions and operating schedules.
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High capture and detection accuracy, ensuring reliable early warnings.
5. Application Scenarios
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Coal mines
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Metal mines
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Power plants
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Steel plants
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Any industrial environment using conveyor belt systems
