It is equipped with a self-developed AI visual recognition algorithm, which can accurately read the readings of various mechanical dial meters, with a recognition accuracy of ≥99.3%, and can cope with complex scenarios such as meter stains and insufficient light. It is equipped with an 8mm fixed-focus lens and infrared fill light, supporting meter reading work at night and in dim environments. It supports two communication modes of 4G and WiFi, which can quickly upload the collected meter data to the management platform. With built-in 64GB local storage, it can cache meter reading data for more than 7 days to ensure data integrity. It supports automatic inspection mode, which can automatically complete meter reading of multi-point meters according to the preset time without manual intervention.
Camera Size: 120mm×100mm×80mm, Weight: 350g, Lens Focal Length: 8mm, Recognition Distance: 0.5m~5m, Night Vision Fill Light Distance: 0.3m~3m, Communication Bands: 4G Band1/3/5, WiFi 2.4G, Storage Capacity: 64GB, Recognition Frame Rate: 30fps, Working Temperature: -5℃~50℃, Protection Grade: IP53, Power Supply Mode: DC5V/USB Type-C, Mounting: Wall-mounted/Crane-mounted Bracket Compatible.
It is suitable for meter reading of mechanical instruments in old residential communities, rural decentralized measurement instrument management, outdoor public area meter reading, and contact-free meter reading scenarios under epidemic prevention and control. It can complete meter reading work without personnel visiting, reducing personnel contact risks while improving meter reading efficiency and data accuracy.
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