The invention discloses a low-power-consumption intelligent meter reading
system based on AI vision, and relates to the technical field of intelligent meter reading, and the
system comprises a collection end which is used for being detachably clamped outside a water meter dial plate, forming a meter reading environment with the water meter dial plate, carrying out the illumination intensity detection of the meter reading environment, and sending the detection result to a display end when the brightness of the
current meter reading environment meets the requirement; and local analysis and identification are performed on the acquired instrument image through the embedded
deep learning model, and an optimized numerical value is acquired and transmitted to the
server. According to the invention,
power consumption and cost caused by
image storage and transmission are saved, off-line work is realized, dependence on network background and far-end computing power is avoided, immediate feedback and
continuous monitoring are realized, abnormal conditions are found in time,
energy management efficiency is improved, flow consumption and data storage requirements are greatly reduced, and the method is suitable for large-scale popularization and application. The
system has the advantages of high accuracy, low
power consumption, high flexibility, real-time monitoring, high
cost effectiveness and the like.