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Description
Product Description
Camera direct reading water meter reader
The digital deep learning model is established by learning the digital shape of the water meter through the direct reading of the camera, and the embedded AI chip is used for identification. An electricity consumption data acquisition meter that supports remote data transmission in the form of NB-iot and LoRa and centrally manages electricity consumption.
Local recognition: proprietary technology to realize table end number recognition. · AI chip: AI chip to realize chip-level image recognition algorithm. · Multiple outputs: table side identification data, small size binary map and clear original map can be provided to meet different network and compatibility requirements. · Data storage: Historical data can be stored in the table, and the historical data will not be lost even when the network is disconnected. · No base meter: applicable to any meter, suitable for the installation of different manufacturers and models of meters. · Easy installation: one person can install easily without water or power cut off.
Specification
Project
Numerical value
Communication network:
support LoRa, NB-LoT, Sigfox, WIFI
Working current:
<160mA
Standby current:
<5μA
Operating temperature:
-10℃ ~ 55℃
Storage and transportation temperature:
-25 ~ 70℃
Recognition accuracy:
>99.9%
Flame retardant grade:
UL94-V0
Protection level:
IP68
Reception sensitivity:
-139 +/ -1dbm
Maximum transmitting power of the system: NB: 23 +/ -2dbm
