This emergency escape passage monitoring device is centered around the core advantage of ultra-low cost. It integrates an ultrasonic distance measurement unit matrix and the EIPALA algorithm to achieve long-term, intelligent monitoring of passage safety, making it a cost-effective emergency assurance solution.
Core Component: Ultrasonic Distance Measurement Unit Matrix
Its primary function is to accurately detect obstacles within the passage, forming a spatial distance measurement network. It complements image acquisition modules to enhance the accuracy and comprehensiveness of obstacle identification, avoiding blind spots inherent to single monitoring methods.
Core Algorithm: Environmental Intelligent Perception and Adaptive Learning Algorithm (EIPALA)
It integrates ultrasonic distance measurement data with camera image information, adapting to different passage environments (such as changes in light and humidity) through adaptive learning.
It interfaces with large models such as Volcano, Doubao, and Qianwen for image analysis, optimizing obstacle identification efficiency and reducing false positives and missed detections.
Key Hardware and Functional Highlights
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Visual Monitoring: Equipped with a 2-megapixel miniature night vision camera, supporting long-term uninterrupted capture and delivering clear images of passage conditions even at night.
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Communication Assurance: 4G Cat.1 dual-mode communication ensures long-term low-power connectivity while enabling high-speed data transmission in emergency scenarios.
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Remote Management: Supports remote status viewing and alert reception via web interfaces and WeChat apps, offering convenient operation.
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Battery Life: Powered by three AA alkaline batteries, it provides a battery life of over 12 months, eliminating the need for frequent replacements.
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Cost Advantage: The overall solution is ultra-low cost, making it suitable for large-scale deployment in various emergency escape passages.
Click to read about [Changzhou Changming Safety Technology Research Institute]

