OCR Pulse Reader
OCR Pulse Reader
Camera direct reading pulse reader, using artificial intelligence technology, it has a learning function and can convert images into digital information through cameras, the image recognition rate is over 99.9%, conveniently realizing automatic reading of mechanical water meters and digital transmission of the Internet of Things.
Camera direct reading pulse reader, including high-definition camera, AI processing unit, NB remote transmission unit, sealed control box, battery, installation and fixing parts, ready to use. It has the characteristics of low power consumption, simple installation, independent structure, universal interchangeability and repeated use. It is suitable for the intelligent transformation of DN15~25 mechanical water meters.
Product Features
· IP68 protection grade.
· Ready to use, easy and fast installation.
· Using ER26500+SPC lithium battery, DC3.6V, the working life can reach 8 years.
· NB-IoT communication protocol
· Camera direct reading, image recognition, AI processing base meter reading, accurate measurement.
· It is installed on the original base meter without changing the measurement method and installation position of the original base meter.
· The meter reading system can remotely read the readings of the water meter, and can also remotely retrieve the original image of the character wheel of the water meter.
· It can store 100 camera pictures and 3 years of historical digital readings, which can be recalled by the meter reading system at any time.
Performance Parameters
Power Supply | DC3.6V, Lithium battery |
Battery Life | 8 years |
Sleep Current | ≤4μA |
Communication Way | NB-IoT/LoRaWAN |
Meter Reading Cycle | 24 hours by default (Settable) |
Protection Grade | IP68 |
Working Temperature | -40℃~135℃ |
Image Format | JPG format |
Installation Way | Install directly on the original base meter, no need to change the meter or stop the water etc. |
CONTACT US
Address:9th Floor, Block A, Building 1, International Innovation Valley, Xili Community,Nanshan District,Shenzhen.
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